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This study uses the provincial panel data of agricultural economy in Hubei Province from 2010 to 2023 to construct a comprehensive framework of prediction and optimization. The forecasting layer uses the Long Short-Term Memory (LSTM) model to capture the dynamic relationship among agricultural GDP growth rate, main crop output, rural employment structure, agricultural product price index, financial subsidies and agricultural infrastructure investment. The optimization layer uses the prediction results as parameters. It defines three objectives. overall agricultural benefit, structural deviation and food security risk. It also includes restrictions on cultivated land area, budget, labor supply and food security. Based on these backgrounds, the adjustment scheme of agricultural economic structure was formulated. The results show that the Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and r of LSTM model are 0.32, 0.45 and 0.91 respectively. Its prediction performance is better than autoregressive moving average (ARIMA), back propagation neural network (BPNN), support vector regression (SVR) and random forest (RF). These findings show that the combination of multivariate collaborative forecasting and structural optimization constraints can improve the efficiency of agricultural resource allocation. This method also provides quantitative support for rural revitalization, food security and digital agriculture policy design.","随着人工智能（AI）与农业大数据的发展，农业经济结构调整已从经验判断转向数据驱动决策。本研究利用2010—2023年湖北省农业经济省级面板数据，构建了预测与优化的综合框架。预测层采用长短期记忆（LSTM）模型，捕捉农业GDP增长率、主要作物产量、农村就业结构、农产品价格指数、财政补贴与农业基础设施投资之间的动态关系。优化层以预测结果作为参数，设定三个目标：农业整体效益、结构性偏差与粮食安全风险，并纳入耕地面积、预算、劳动力供给与粮食安全等约束条件。在此基础上，制定农业经济结构调整方案。结果表明，LSTM模型的平均绝对误差（MAE）、均方根误差（RMSE）与r分别为0.32、0.45和0.91，其预测性能优于自回归移动平均（ARIMA）、反向传播神经网络（BPNN）、支持向量回归（SVR）与随机森林（RF）。这些发现表明，多变量协同预测与结构优化约束的结合能够提高农业资源配置效率。该方法也为乡村振兴、粮食安全与数字农业政策设计提供了量化支持。","Discover Applied Sciences","2026-10-09T00:00:00Z","论文",75,{"impact":624,"substance":508,"depth":625,"authority":626,"freshness":627,"relevant":455,"comment":628},16,17,13,9,"基于湖北省级面板数据构建LSTM预测与多目标优化框架，方法对比充分、结论有量化支撑，对数字农业与乡村振兴政策设计具参考价值。",[630],{"name":619,"url":616},[632,633,634,635,636],"数字农业","农业人工智能","粮食安全","农业经济结构","LSTM预测",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":640},{"candidates":641,"agricultural_evidence":600},[642,648,653,658,664,669],{"code":263,"score":643,"supported":600,"title":644,"abstract":645,"tags":647},7,[],[634,646],"food security",[634],{"code":16,"score":643,"supported":600,"title":649,"abstract":650,"tags":652},[],[632,651],"digital agriculture",[632],{"code":24,"score":400,"supported":600,"title":654,"abstract":655,"tags":657},[],[656],"artificial intelligence",[633],{"code":480,"score":659,"supported":600,"title":660,"abstract":661,"tags":663},3,[],[662],"乡村振兴",[],{"code":56,"score":659,"supported":600,"title":665,"abstract":666,"tags":668},[],[667],"农业大数据",[],{"code":542,"score":659,"supported":600,"title":670,"abstract":671,"tags":673},[],[672],"农业政策",[],[675,676],"湖北 农业经济结构 LSTM","农业经济结构 优化模型","湖北农业经济结构LSTM-4600","10.1007\u002Fs42452-026-09594-x",{"doi":678,"openalex_id":680,"authors":681,"venue":619,"cited_by_count":424,"oa_url":616,"card":684,"direction":690,"ingested_from":691},"W7221088951",[682],{"name":683,"orcid":11},"Xue Gong",{"tldr":685,"method":686,"finding":687,"direction":688,"opportunity":689},"用LSTM预测湖北农业经济指标，并构建多目标优化模型调整农业结构。","LSTM预测2010-2023年湖北面板数据，结合多目标优化与约束条件。","LSTM预测精度优于ARIMA、BPNN等，优化方案可提升农业资源配置效率。","农业人工智能与决策模型","可探索将LSTM与多目标优化耦合框架推广至其他省份或作物类型，并引入实时数据流。","数字乡村与农业信息化","openalex","2026-10-10T23:30:34.807708Z",{"id":694,"title":695,"url":696,"summary":697,"summary_zh":698,"content":11,"source_name":699,"source_url":696,"published_at":620,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":700,"score_detail":701,"sources":703,"tags":705,"primary_topic":710,"secondary_topics":711,"classification":712,"search_phrases":735,"slug":738,"view_count":659,"doi":739,"paper":740,"created_at":757},4556,"Can rural collective economic development mitigate farmland abandonment in China? The roles of endogenous scale economies and exogenous financial incentives","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1952402","Reducing farmland abandonment is of critical importance for the scientific management of land resources, safeguarding food security, and promoting sustainable agricultural development. Existing research on farmland abandonment has mostly focused on individual or policy factors, and the association between the rural collective economy and farmland abandonment has not been fully examined quantitatively. Based on the latest panel data from the China Labor-force Dynamics Survey, this paper empirically examines the statistical correlation and conditional mechanisms between rural collective economic development and farmland abandonment from the dual perspectives of endogenous scale economies and exogenous financial incentives. The study finds that the level of collective economic development is significantly and negatively correlated with both the area and proportion of farmland abandonment. From the perspective of endogenous scale economies, collective economic organizations possessing the dual characteristics of “farmland scale management” and “service scale management” are associated with a lower degree of farmland abandonment. From the perspective of exogenous financial incentives, in the groups of households that have obtained loans and have higher loan amounts, the negative correlation between collective economic development and abandonment is more pronounced. Heterogeneity analysis shows that in villages providing uniform irrigation and drainage, technical guidance, and planting planning services, the aforementioned negative correlation is more prominent. Based on this, the role of the collective economy in relation to farmland abandonment is noted, alongside associations of lower abandoned land with the cultivation of moderate-scale agricultural management and the optimization of rural financial supply.","减少农地撂荒对科学管理土地资源、保障粮食安全以及促进农业可持续发展至关重要。现有农地撂荒研究多聚焦于个体或政策因素，农村集体经济与农地撂荒之间的关联尚未得到充分的定量检验。基于中国劳动力动态调查的最新面板数据，本文从内生性规模经济与外生性资金激励的双重角度，实证检验了农村集体经济发展与农地撂荒之间的统计相关性与条件机制。研究发现，集体经济发展水平与农地撂荒面积及撂荒比例均呈显著负相关。从内生性规模经济角度看，同时具备“农地规模经营”与“服务规模经营”双重特征的集体经济组织，其农地撂荒程度较低。从外生性资金激励角度看，在获得贷款以及贷款金额较高的农户群体中，集体经济发展与撂荒之间的负相关关系更为明显。异质性分析表明，在提供统一排灌、技术指导和种植规划服务的村庄中，上述负相关关系更为突出。据此，本文指出了集体经济在农地撂荒方面的作用，以及适度规模农业经营发展与农村金融供给优化与较低撂荒程度之间的关联。","Frontiers in Sustainable Food Systems",80,{"impact":361,"substance":321,"depth":361,"authority":626,"freshness":627,"relevant":455,"comment":702},"基于全国面板数据实证揭示集体经济与耕地撂荒的负相关及规模经营、金融供给机制，对耕地保护与乡村治理有参考价值。",[704],{"name":699,"url":696},[634,706,707,708,709],"农村金融","农村集体经济","土地流转","耕地撂荒",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":713},{"candidates":714,"agricultural_evidence":600},[715,719,723,727,731],{"code":263,"score":643,"supported":600,"title":716,"abstract":717,"tags":718},[],[634,646],[634],{"code":503,"score":400,"supported":600,"title":720,"abstract":721,"tags":722},[],[706],[706],{"code":152,"score":659,"supported":600,"title":724,"abstract":725,"tags":726},[],[153],[],{"code":496,"score":455,"supported":580,"title":728,"abstract":729,"tags":730},[],[],[708],{"code":511,"score":455,"supported":580,"title":732,"abstract":733,"tags":734},[],[],[707],[736,737],"农村集体经济 耕地撂荒","中国劳动力动态调查 农地撂荒","农村集体经济耕地撂荒-4556","10.3389\u002Ffsufs.2026.1952402",{"doi":739,"openalex_id":741,"authors":742,"venue":699,"cited_by_count":424,"oa_url":751,"card":752,"direction":690,"ingested_from":691},"W7221153022",[743,746,749],{"name":744,"orcid":745},"Qiang Liu","https:\u002F\u002Forcid.org\u002F0000-0001-9736-7084",{"name":747,"orcid":748},"Junyan Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-1844-617X",{"name":750,"orcid":11},"Jie Lyu","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1952402\u002Fpdf",{"tldr":753,"method":754,"finding":755,"direction":690,"opportunity":756},"基于CLDS面板数据，实证检验农村集体经济发展与耕地撂荒的负相关关系及其作用机制。","中国劳动力动态调查面板数据，内生规模经济与外生金融激励双视角回归分析。","集体经济发展显著降低撂荒面积与比例，规模经营、贷款获取及村级服务强化该负相关。","可探究集体经济组织如何借助数字平台整合土地与服务规模，以更精准抑制撂荒。","2026-10-10T23:30:06.187800Z",{"id":759,"title":760,"url":761,"summary":762,"summary_zh":763,"content":11,"source_name":764,"source_url":761,"published_at":765,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":377,"score_detail":766,"sources":769,"tags":771,"primary_topic":777,"secondary_topics":778,"classification":779,"search_phrases":798,"slug":801,"view_count":455,"doi":802,"paper":803,"created_at":818},4525,"Empowering Women Farmer Groups through the Implementation of the Staggered Harvesting Method: A Case Study of the Corporate Social Responsibility Program of PT Perusahaan Gas Negara Tbk. – Panaran Offtake Station in Batam City, Indonesia","https:\u002F\u002Fdoi.org\u002F10.55381\u002Fjpm.v5i2.611","Limited household income remains a challenge in Tembesi Village, Batam City, as many housewives are not yet engaged in productive economic activities. To address this, PT Perusahaan Gas Negara Tbk. – Panaran Offtake Station initiated the SEHATI Tembesi Program (Healthy Vegetables, Active Land, Independent Farming in Tembesi) through its Corporate Social Responsibility (CSR) initiative to empower the Agro Hijau Women Farmer Group (Kelompok Wanita Tani\u002FKWT). This article describes the program's implementation and evaluates the staggered harvesting method in improving land productivity and sustaining group income. The program used a participatory approach comprising social mapping, Focus Group Discussions (FGDs), land preparation, commodity zoning, staggered planting, technical assistance, monitoring, and evaluation. A 460 m² cultivation area managed by 25 KWT members was planted with eight horticultural commodities. Staggered harvesting increased harvesting frequency from once a month to almost every week, creating a more continuous production cycle. The program also strengthened group capacity through farm administration and bookkeeping, enabling more systematic production and sales management. Combining commodity diversification, staggered harvesting, and improved farm management, the SEHATI Tembesi Program offers a practical model for women's empowerment that supports household food security and community welfare.","Tembesi村位于巴淡市，家庭收入有限仍是一项挑战，许多家庭主妇尚未参与生产性经济活动。为解决这一问题，PT Perusahaan Gas Negara Tbk. – Panaran Offtake Station通过其企业社会责任（CSR）项目发起了SEHATI Tembesi项目（Tembesi健康蔬菜、活跃土地、独立耕作），以赋权Agro Hijau妇女农民小组（Kelompok Wanita Tani\u002FKWT）。本文描述了该项目的实施情况，并评估了错峰采收方法在提高土地生产力和维持小组收入方面的作用。该项目采用参与式方法，包括社会测绘、焦点小组讨论（FGD）、土地准备、作物分区、错峰种植、技术援助、监测和评估。由25名KWT成员管理的460平方米种植区种植了八种园艺作物。错峰采收将采收频率从每月一次提高到几乎每周一次，形成了更连续的生产周期。该项目还通过农场行政管理和记账增强了小组能力，使生产和销售管理更加系统化。SEHATI Tembesi项目结合了作物多样化、错峰采收和改进的农场管理，为妇女赋权提供了一个实用模式，支持家庭粮食安全和社区福祉。","Prospect Jurnal Pemberdayaan Masyarakat","2026-10-06T00:00:00Z",{"impact":173,"substance":624,"depth":345,"authority":767,"freshness":767,"relevant":455,"comment":768},6,"印尼国企CSR案例，方法具体但属地方性实践，国际参考价值有限，难入每日精选。",[770],{"name":764,"url":761},[772,773,774,775,776],"都市农业","农户增收","妇女赋能","企业社会责任","错峰采收",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":780},{"candidates":781,"agricultural_evidence":600},[782,786,790,794],{"code":263,"score":767,"supported":600,"title":783,"abstract":784,"tags":785},[],[634,646],[],{"code":279,"score":659,"supported":600,"title":787,"abstract":788,"tags":789},[],[281],[],{"code":324,"score":455,"supported":580,"title":791,"abstract":792,"tags":793},[],[],[772],{"code":527,"score":455,"supported":580,"title":795,"abstract":796,"tags":797},[],[],[773],[799,800],"印尼 巴淡 妇女农户 错峰采收","SEHATI Tembesi 蔬菜种植","印尼巴淡妇女农户错峰采收-4525","10.55381\u002Fjpm.v5i2.611",{"doi":802,"openalex_id":804,"authors":805,"venue":764,"cited_by_count":424,"oa_url":812,"card":813,"direction":690,"ingested_from":691},"W7220864961",[806,808,810],{"name":807,"orcid":11},"Sofyan Sholeh",{"name":809,"orcid":11},"Khansa Dwisda Hafizhah",{"name":811,"orcid":11},"Nabila Zalzabila Lausepa","https:\u002F\u002Fprospectpublishing.id\u002Fojs\u002Findex.php\u002Fjpm\u002Farticle\u002Fdownload\u002F611\u002F357",{"tldr":814,"method":815,"finding":816,"direction":690,"opportunity":817},"评估印尼CSR项目通过错峰采收赋能女性农民小组，提升土地生产力与收入。","参与式方法：社会制图、FGD、错峰种植、技术援助与监测评估，460平方米、25人","错峰采收将收获频率从每月一次提升至几乎每周，形成连续生产周期并强化小组管理能力。","可探索将错峰采收与数字化生产销售管理工具结合，研究小农户持续增收机制。","2026-10-09T23:30:40.094013Z",{"id":820,"title":821,"url":822,"summary":823,"summary_zh":824,"content":11,"source_name":825,"source_url":822,"published_at":826,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":827,"score_detail":828,"sources":831,"tags":833,"primary_topic":838,"secondary_topics":839,"classification":841,"search_phrases":870,"slug":873,"view_count":455,"doi":874,"paper":875,"created_at":886},4502,"THE IMPORTANCE OF IRRIGATED AGRICULTURAL LANDSCAPES IN THE FERGANA VALLEY FOR ENSURING FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23242201","This thesis analyzes the role of irrigated agricultural landscapes formed in the Uzbek part of the Fergana Valley in ensuring food security from a geographical perspective. The Fergana, Andijan, and Namangan regions were selected as the study area. The interrelationships of irrigated lands with natural-geographical conditions, water resources, soil cover, and economic activities are examined. Regional differences in the volume of agricultural production are analyzed by province. The study also highlights the impact of factors such as water scarcity, soil salinization, deterioration of land reclamation conditions, and intensive anthropogenic use on the productive potential of landscapes. The results substantiate the need for integrated management of water and land resources in the use of irrigated agro-landscapes, monitoring based on GIS and remote sensing, and the wider adoption of water-saving technologies to ensure long-term food security.","本论文从地理学视角分析了费尔干纳谷地乌兹别克斯坦部分形成的灌溉农业景观在保障粮食安全中的作用。研究选取费尔干纳、安集延和纳曼干三个地区作为研究区域，考察了灌溉土地与自然地理条件、水资源、土壤覆盖及经济活动之间的相互关系。按省域分析了农业生产总量的区域差异。研究还揭示了水资源短缺、土壤盐渍化、土地改良条件恶化以及高强度人为利用等因素对景观生产潜力的影响。研究结果证实，在利用灌溉农业景观时，有必要对水土资源实行综合管理，基于GIS和遥感进行监测，并更广泛地采用节水技术，以保障长期粮食安全。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-08T00:00:00Z",65,{"impact":416,"substance":361,"depth":829,"authority":416,"freshness":173,"relevant":455,"comment":830},15,"以费尔干纳盆地为例分析灌溉农业景观与粮食安全，涉及盐碱化、遥感监测与节水技术，对中亚农业信息化有参考价值，但地域性较强。",[832],{"name":825,"url":822},[634,834,835,836,837],"节水灌溉","遥感监测","灌溉农业","盐碱化治理",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[840],{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":595,"locked":580,"version":4,"method":596,"evidence":842},{"candidates":843,"agricultural_evidence":600},[844,848,854,860,865],{"code":263,"score":829,"supported":600,"title":845,"abstract":846,"tags":847},[646],[634,646],[634],{"code":152,"score":173,"supported":600,"title":849,"abstract":850,"tags":853},[],[851,852],"灌溉","水资源",[836,834],{"code":32,"score":643,"supported":600,"title":855,"abstract":856,"tags":859},[],[857,858],"遥感","remote sensing",[835],{"code":144,"score":767,"supported":600,"title":861,"abstract":862,"tags":864},[],[863,145],"土壤",[],{"code":40,"score":659,"supported":600,"title":866,"abstract":867,"tags":869},[],[868],"GIS",[],[871,872],"费尔干纳盆地 灌溉农业","乌兹别克斯坦 粮食安全","费尔干纳盆地灌溉农业-4502","10.5281\u002Fzenodo.23242201",{"doi":874,"openalex_id":876,"authors":877,"venue":825,"cited_by_count":424,"oa_url":822,"card":880,"direction":884,"ingested_from":691},"W7220934542",[878],{"name":879,"orcid":11},"Boratov Alijon",{"tldr":881,"method":882,"finding":883,"direction":884,"opportunity":885},"分析费尔干纳谷地灌溉农业景观对粮食安全的作用及区域差异。","地理学分析结合GIS与遥感监测，评估水土资源与农业生产。","水资源短缺、土壤盐渍化等威胁景观生产力，需综合管理水土地资源。","农业遥感与作物表型","可结合遥感与GIS构建盐渍化与灌溉效率动态监测模型，支撑节水决策。","2026-10-09T23:30:25.704297Z",{"id":888,"title":889,"url":890,"summary":891,"summary_zh":892,"content":11,"source_name":825,"source_url":890,"published_at":826,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":893,"score_detail":894,"sources":896,"tags":898,"primary_topic":902,"secondary_topics":903,"classification":905,"search_phrases":939,"slug":942,"view_count":455,"doi":943,"paper":944,"created_at":953},4501,"THE IMPACT OF AGRICULTURAL LANDSCAPE USE AROUND KOKAND CITY ON FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23244244","This thesis examines the impact of agricultural landscape use around Kokand City on food security based on a geographical approach. The study area encompasses agricultural territories directly adjacent to Kokand City and functionally connected to the city’s food supply. Landscape, territorial-comparative, statistical, and ecological-geographical analysis methods were used in the study. Based on official statistical data, it is shown that agricultural, forestry, and fishery products are produced within Kokand City itself. During January–September 2024, the volume of products from these sectors in the city amounted to 264.8 billion UZS, including 2.7 thousand tons of vegetables, 4.9 thousand tons of fruits, 7.4 thousand tons of milk, and 2.1 thousand tons of meat. At the same time, intensive irrigated farming, soil salinization, the efficiency of water resource use, and urbanization processes were assessed as key factors affecting the sustainability of agricultural landscapes. The study substantiates the need to monitor peri-urban agro-landscapes using GIS and remote sensing, improve irrigation efficiency, and control the transformation of productive agricultural land to strengthen food security.","本论文基于地理学方法，考察了浩罕市周边农业景观利用对粮食安全的影响。研究区域涵盖与浩罕市直接相邻且在功能上与城市粮食供应相联系的农业地域。研究中采用了景观分析、地域比较、统计及生态地理分析方法。基于官方统计数据，研究表明浩罕市自身范围内生产了农业、林业和渔业产品。2024年1月至9月期间，该市这些部门的产品总量达2648亿苏姆，其中包括2700吨蔬菜、4900吨水果、7400吨牛奶和2100吨肉类。同时，集约化灌溉农业、土壤盐渍化、水资源利用效率及城市化进程被评估为影响农业景观可持续性的关键因素。研究论证了利用地理信息系统（GIS）和遥感技术监测城郊农业景观、提高灌溉效率以及控制生产性农业用地转变以加强粮食安全的必要性。",61,{"impact":173,"substance":361,"depth":345,"authority":416,"freshness":627,"relevant":455,"comment":895},"基于GIS与遥感的城郊农业景观研究，数据具体但属地方性案例，方法可借鉴。",[897],{"name":825,"url":890},[634,835,868,899,900,901],"灌溉效率","盐碱化","城郊农业",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[904],{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":595,"locked":580,"version":4,"method":596,"evidence":906},{"candidates":907,"agricultural_evidence":600},[908,912,917,921,926,930,934],{"code":263,"score":829,"supported":600,"title":909,"abstract":910,"tags":911},[646],[634,646],[634],{"code":152,"score":627,"supported":600,"title":913,"abstract":914,"tags":916},[],[851,852,153,915],"water resource",[],{"code":32,"score":643,"supported":600,"title":918,"abstract":919,"tags":920},[],[857,858],[835],{"code":40,"score":643,"supported":600,"title":922,"abstract":923,"tags":925},[],[924,868],"地理信息",[868],{"code":144,"score":767,"supported":600,"title":927,"abstract":928,"tags":929},[],[863,145],[],{"code":279,"score":659,"supported":600,"title":931,"abstract":932,"tags":933},[],[281],[],{"code":388,"score":659,"supported":600,"title":935,"abstract":936,"tags":938},[],[937],"渔业",[],[940,941],"Kokand 农业景观 粮食安全","城郊农业 GIS 遥感","Kokand农业景观粮食安全-4501","10.5281\u002Fzenodo.23244244",{"doi":943,"openalex_id":945,"authors":946,"venue":825,"cited_by_count":424,"oa_url":890,"card":948,"direction":884,"ingested_from":691},"W7220903359",[947],{"name":879,"orcid":11},{"tldr":949,"method":950,"finding":951,"direction":884,"opportunity":952},"基于地理方法分析科坎德市周边农业景观利用对粮食安全的影响。","景观与生态地理分析、统计及GIS遥感监测建议。","灌溉、盐渍化、水资源效率与城市化是影响农业景观可持续性的关键因素。","可结合GIS与遥感构建城郊农业景观动态监测体系，评估灌溉效率与土地转化对粮食安全的影响。","2026-10-09T23:30:25.643757Z",{"id":955,"title":956,"url":957,"summary":958,"summary_zh":959,"content":11,"source_name":960,"source_url":957,"published_at":826,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":961,"score_detail":962,"sources":964,"tags":966,"primary_topic":972,"secondary_topics":973,"classification":975,"search_phrases":1014,"slug":1017,"view_count":424,"doi":1018,"paper":1019,"created_at":1034},4488,"Harnessing Indigenous Knowledge for Climate-Smart Agri-Food Systems: A Review of Adaptation Strategies, Food Security, Ecosystem Services, Governance, and Digital Innovation in Sub-Saharan Africa","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fconservation6040120","Sub-Saharan Africa (SSA) faces escalating climate challenges that threaten agricultural productivity, food security, ecosystem sustainability, and rural livelihoods. Indigenous knowledge (IK), developed through generations of interaction with local environments, offers context-specific and culturally embedded solutions for climate adaptation and resilient agri-food systems. This scoping review synthesizes evidence on the role of indigenous knowledge in advancing climate-smart agriculture (CSA) and resilient agri-food systems across SSA. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR), the review analyzed 17 studies published between 2000 and 2026. The findings reveal that indigenous knowledge contributes significantly to climate resilience through traditional weather forecasting, crop diversification, indigenous seed preservation, agroforestry, water harvesting, soil fertility management, and community-based natural resource governance. These practices enhance food security, livelihood resilience, biodiversity conservation, and ecosystem service provision while strengthening adaptive capacity among smallholder farmers. The review further highlights the importance of inclusive governance frameworks, knowledge co-production, and policy support for integrating indigenous knowledge into climate adaptation and agricultural development strategies. Emerging digital technologies and innovation platforms also present opportunities for documenting, preserving, and scaling indigenous agricultural knowledge. However, challenges related to weak policy recognition, inadequate documentation, knowledge erosion, and limited digital infrastructure continue to constrain its effective utilization. The study concludes that integrating indigenous knowledge with scientific innovation is essential for building inclusive, sustainable, and climate-resilient agri-food systems in SSA.","撒哈拉以南非洲（Sub-Saharan Africa, SSA）面临日益加剧的气候挑战，威胁着农业生产力、粮食安全、生态系统可持续性和农村生计。土著知识（Indigenous Knowledge, IK）经由世代与当地环境的互动而积累，为气候适应和韧性农业食品系统提供了契合具体情境且深植于文化的解决方案。本范围综述综合了关于土著知识在推动撒哈拉以南非洲气候智慧型农业（Climate-Smart Agriculture, CSA）和韧性农业食品系统中作用的证据。在系统综述和荟萃分析首选报告条目扩展版——范围综述（PRISMA-ScR）的指导下，本综述分析了2000年至2026年间发表的17项研究。研究结果表明，土著知识通过传统天气预报、作物多样化、土著种子保存、农林业、集水、土壤肥力管理和社区为基础的自然资源治理，对气候韧性作出了显著贡献。这些实践增强了粮食安全、生计韧性、生物多样性保护和生态系统服务供给，同时强化了小农户的适应能力。本综述进一步强调了包容性治理框架、知识共同生产以及政策支持对于将土著知识纳入气候适应和农业发展战略的重要性。新兴数字技术和创新平台也为记录、保存和推广土著农业知识提供了机遇。然而，政策认可薄弱、记录不足、知识流失和数字基础设施有限等挑战持续制约着其有效利用。研究结论认为，将土著知识与科学创新相结合，对于在撒哈拉以南非洲构建包容、可持续且具有气候韧性的农业食品系统至关重要。","Conservation",76,{"impact":361,"substance":508,"depth":625,"authority":626,"freshness":173,"relevant":455,"comment":963},"系统综述揭示本土知识与数字创新融合路径，对气候适应型农业与农业信息化有参考价值，但属区域研究、非国内政策事件。",[965],{"name":960,"url":957},[967,968,634,969,970,971],"智慧农业","撒哈拉以南非洲","气候智慧型农业","本土知识","数字创新",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[974],{"code":176,"slug":177,"name":178,"path":179,"parent_code":128},{"status":595,"locked":580,"version":4,"method":596,"evidence":976},{"candidates":977,"agricultural_evidence":600},[978,982,989,995,1001,1005,1010],{"code":263,"score":829,"supported":600,"title":979,"abstract":980,"tags":981},[646],[634,646],[634],{"code":176,"score":627,"supported":600,"title":983,"abstract":984,"tags":988},[],[985,986,177,987],"生物多样性","生态系统服务","ecosystem service",[],{"code":184,"score":643,"supported":600,"title":990,"abstract":991,"tags":994},[],[992,993],"气候适应","climate resilience",[969],{"code":496,"score":767,"supported":600,"title":996,"abstract":997,"tags":1000},[],[998,999],"小农户","smallholder",[],{"code":144,"score":767,"supported":600,"title":1002,"abstract":1003,"tags":1004},[],[863,145],[],{"code":16,"score":400,"supported":600,"title":1006,"abstract":1007,"tags":1009},[],[1008],"smart agriculture",[967],{"code":556,"score":455,"supported":580,"title":1011,"abstract":1012,"tags":1013},[],[],[968],[1015,1016],"撒哈拉以南非洲 本土知识 气候智慧型农业","撒哈拉以南非洲 气候智慧型农业 数字创新 智慧农业","撒哈拉以南非洲本土知识气候智慧型农业-4488","10.3390\u002Fconservation6040120",{"doi":1018,"openalex_id":1020,"authors":1021,"venue":960,"cited_by_count":424,"oa_url":957,"card":1028,"direction":1033,"ingested_from":691},"W7220921430",[1022,1025],{"name":1023,"orcid":1024},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":1026,"orcid":1027},"Wale Ayojimi","https:\u002F\u002Forcid.org\u002F0000-0003-0038-3462",{"tldr":1029,"method":1030,"finding":1031,"direction":690,"opportunity":1032},"综述撒哈拉以南非洲本土知识在气候智慧型农业与食物系统中的作用与挑战。","PRISMA-ScR范围综述，分析2000-2026年17项研究。","本土知识通过传统预报、作物多样化等提升气候韧性，但政策认可与数字化不足制约其应用。","可研究本土知识与数字技术协同的知识共生产机制，及适配小农的低成本数字化记录与传播工具。","智慧农业 \u002F 农业物联网","2026-10-09T23:30:07.725864Z",{"id":1036,"title":1037,"url":1038,"summary":1039,"summary_zh":11,"content":1040,"source_name":1041,"source_url":11,"published_at":1042,"category":579,"cover_url":11,"hotness":385,"is_selected":580,"score":1043,"score_detail":1044,"sources":1047,"tags":1049,"primary_topic":1054,"secondary_topics":1055,"classification":1057,"search_phrases":1099,"slug":1102,"view_count":424,"doi":11,"paper":11,"created_at":1103},4460,"中国农科院资划所牵头智慧农作体系观摩会在山东桓台举行 千亩玉米单产提升8%—12%","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F03\u002Fcontent_591573.html","中国农业科学院农业资源与农业区划研究所牵头粮食作物精准智慧化生产管理关键技术与集成示范项目黄淮海麦玉轮作主产区智慧农作体系应用示范观摩会在山东桓台中化MAP桓台农场举行；项目构建以多源感知为基础、智能诊断为核心、农机精准执行为保障、数据平台为中枢的智慧农作技术体系，千亩示范方玉米单产较周边常规种植对照提升8%—12%，优质品率稳定在88%以上，化肥、农药、灌溉用水量较常规种植分别减少10%—15%、8%—10%、12%—18%。","![Image 4](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Fshare_logo.jpg)\n\n[![Image 5](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Flogo.png)](http:\u002F\u002Fwww.stdaily.com\u002F)\n\n*   [时政](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fszxw\u002Fnode_357.html)\n*   [热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n*   [政务](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fzwxw\u002Fnode_362.html)\n*   [深瞳](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fstbd\u002Fnode_434.html)\n*   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6](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Ffdj.png)](https:\u002F\u002Fsearch.stdaily.com:8888\u002Ffounder\u002FNewSearchServlet.do?siteID=1)[登录](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html?url=https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F03\u002Fcontent_591573.html)[-](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html)\n\n 所在位置： [中国科技网首页](https:\u002F\u002Fwww.stdaily.com\u002Findex.html)>[滚动](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fnode_324.html)> 正文 \n\n# 智慧农作体系应用示范观摩会在山东桓台举行\n\n 2026-10-03 14:47:23 来源: 科技日报 点击数：\n\n![Image 7](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimg\u002F20240301dzv.png)0\n\n[](javascript:; \"新浪微博\")[](javascript:; \"微信\")\n\n科技日报记者 马爱平\n\n近日，由中国农业科学院农业资源与农业区划研究所牵头的“粮食作物精准智慧化生产管理关键技术与集成示范”项目黄淮海麦玉轮作主产区智慧农作体系应用示范观摩会，在山东桓台中化MAP桓台农场举行。\n\n与会人员实地观摩项目针对黄淮海小麦—玉米轮作精准智慧生产现实需求，围绕麦玉种、肥、水、药管理关键环节研发的作物表型监测、精量播种、养分诊断与变量追肥、精准灌溉、病虫害监测与变量喷施等系列新技术、新装备，现场考察了集实时监测、智能诊断、定量调控、变量作业于一体，农艺农机信息深度融合的区域智慧农作技术体系及示范成效。\n\n![Image 8](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-10\u002F03\u002F591573_4296d9a8-883a-4a2a-98e1-7290f3adff4fcopy.jpg)\n\n据中化MAP桓台农场负责人介绍，这套数字技术解决方案通过精准播种、变量施肥和智能灌溉等核心环节的优化，实现千亩示范方玉米单产较周边常规种植对照提升8%—12%，优质品率稳定在88%以上；同时，实现农业资源的节约，化肥、农药和灌溉用水量较常规种植分别减少10%—15%、8%—10%、12%—18%，资源利用效率得到显著提升，目前已形成面向周边普通农户和新型经营主体的技术培训、推广和辐射服务能力。\n\n![Image 9](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-10\u002F03\u002F591573_e7499078-dee9-4a40-bf66-504e09cef576copy.jpg)\n\n项目首席科学家吴文斌研究员表示，玉米是我国种植面积最大、产量最高的粮食作物。但长期以来，我国玉米种植生产管理整体偏粗放。播种质量参差不齐，关键农情信息获取滞后，水肥药施用多依赖传统经验，不仅造成玉米单产与先进国家相比有较大差距，也带来农业资源浪费、农田生态压力加大等问题。为此，项目组联合中化MAP团队，选择灌溉条件完善、机械化基础扎实的MAP桓台农场作为核心基地，打造玉米生产方式数字化转型升级示范区。该项目构建一套以多源感知为基础、智能诊断为核心、农机精准执行为保障、数据平台为中枢的智慧农作技术体系，实现玉米种植全过程的数据驱动和精准管控。\n\n（中国农业科学院农业资源与农业区划研究所供图）\n\n责任编辑：陈可轩\n\n相关稿件：\n\n![Image 10](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Fpinglun.png)网友评论\n\n评论\n\n最热评论\n\n没有更多评论了\n\n[热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n\n[![Image 11](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-10\u002F08\u002F592769_1df74a15-67d5-4910-aece-debcc638606a_1009x6734106423copy.JPG)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F08\u002Fcontent_592769.html)\n\n[国庆假期服务消费旺盛 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2026-10-03","2026-10-03T00:00:00Z",79,{"impact":321,"substance":1045,"depth":624,"authority":345,"freshness":767,"relevant":455,"comment":1046},21,"国家级科研机构牵头、有明确增产与节本数据的智慧农作示范报道，专业性与信息增量俱佳，值得进入每日精选。",[1048],{"name":1041,"url":1038},[967,1050,1051,1052,1053],"农业遥感","精准农业","水肥一体化","玉米单产提升",{"code":224,"slug":225,"name":226,"path":227,"parent_code":200},[1056],{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},{"status":595,"locked":580,"version":4,"method":596,"evidence":1058},{"candidates":1059,"agricultural_evidence":600},[1060,1064,1068,1073,1078,1083,1087,1091,1095],{"code":224,"score":416,"supported":600,"title":1061,"abstract":1062,"tags":1063},[226],[226],[1053],{"code":263,"score":627,"supported":600,"title":1065,"abstract":1066,"tags":1067},[588],[],[1053],{"code":256,"score":659,"supported":600,"title":1069,"abstract":1070,"tags":1072},[],[1071],"轮作",[],{"code":104,"score":659,"supported":600,"title":1074,"abstract":1075,"tags":1077},[],[1076],"农药",[],{"code":112,"score":659,"supported":600,"title":1079,"abstract":1080,"tags":1082},[],[1081],"农机",[],{"code":152,"score":659,"supported":600,"title":1084,"abstract":1085,"tags":1086},[],[851],[],{"code":16,"score":69,"supported":580,"title":1088,"abstract":1089,"tags":1090},[],[],[967,1051],{"code":96,"score":455,"supported":580,"title":1092,"abstract":1093,"tags":1094},[],[],[1052],{"code":32,"score":455,"supported":580,"title":1096,"abstract":1097,"tags":1098},[],[],[1050],[1100,1101],"中国农科院资划所 智慧农作 桓台","中化MAP 玉米 单产提升","中国农科院资划所智慧农作桓台-4460","2026-10-09T00:04:56.174089Z",{"id":1105,"title":1106,"url":1107,"summary":1108,"summary_zh":11,"content":11,"source_name":1109,"source_url":11,"published_at":1110,"category":621,"cover_url":11,"hotness":385,"is_selected":600,"score":101,"score_detail":1111,"sources":1115,"tags":1117,"primary_topic":1122,"secondary_topics":1123,"classification":1126,"search_phrases":1148,"slug":1151,"view_count":400,"doi":11,"paper":1152,"created_at":1160},4194,"数字乡村建设的代价？数字乡村战略对粮食安全和农业碳循环的非对称影响——来自中国的证据","https:\u002F\u002Fideas.repec.org\u002Fa\u002Fspr\u002Fagfoec\u002Fv14y2026i1d10.1186_s40100-026-00503-9.html","Weilong Gao、Qian Zhang、Ying Peng（吉林大学国家发展与安全研究院、大连理工大学商学院、长春工业大学经济管理学院）。发表于Agricultural and Food Economics 2026, 14(1): 1-22。基于989个县和1835户农户的多层次数据，将县级数字乡村发展指数与家庭层面数字采纳指数链接，运用固定效应和两阶段最小二乘法模型。结果显示：农村数字化与粮食产量显著正相关，与农业碳排放显著负相关，但对作物生物量碳吸收或净碳足迹无显著改善。机制分析表明生产收益与土地利用集约化（特别是双季种植扩张）相关，减排与减少劳动力和农药使用一致。异质性分析显示数字基础设施驱动生产率增长，数字治理和数字生活与减排关联更密切。","Agricultural and Food Economics 2026, 14(1)","2026-10-01T00:00:00Z",{"impact":321,"substance":1112,"depth":1113,"authority":345,"freshness":627,"relevant":455,"comment":1114},24,19,"基于989县1835户的全国性实证研究，揭示数字乡村对粮食安全与农业碳循环的非对称影响，数据规模大、结论有政策参考价值，值得进入每日精选。",[1116],{"name":1109,"url":1107},[1118,1119,634,1120,1121],"数字乡村","数字基础设施","农业碳排放","农户数字化",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[1124,1125],{"code":160,"slug":161,"name":162,"path":163,"parent_code":128},{"code":56,"slug":57,"name":58,"path":59,"parent_code":7},{"status":595,"locked":580,"version":4,"method":596,"evidence":1127},{"candidates":1128,"agricultural_evidence":600},[1129,1136,1140,1144],{"code":160,"score":361,"supported":600,"title":1130,"abstract":1132,"tags":1135},[1131],"农业碳",[1133,1131,1134],"碳排放","碳足迹",[1120],{"code":56,"score":626,"supported":600,"title":1137,"abstract":1138,"tags":1139},[1118],[1118],[1118,1119],{"code":263,"score":627,"supported":600,"title":1141,"abstract":1142,"tags":1143},[634],[],[634],{"code":104,"score":659,"supported":600,"title":1145,"abstract":1146,"tags":1147},[],[1076],[],[1149,1150],"数字乡村 粮食安全 农业碳循环","吉林大学 数字乡村 农户","数字乡村粮食安全农业碳循环-4194",{"doi":11,"openalex_id":11,"authors":1153,"venue":11,"cited_by_count":424,"oa_url":11,"card":1154,"direction":690,"ingested_from":1159},[],{"tldr":1155,"method":1156,"finding":1157,"direction":690,"opportunity":1158},"基于中国县级与农户数据，评估数字乡村战略对粮食安全和农业碳循环的非对称影响。","989县与1835户多层次数据，固定效应和两阶段最小二乘法。","数字化提升粮食产量并减少碳排放，但未改善作物碳吸收或净碳足迹。","可探究数字乡村对碳吸收无显著影响的原因，并优化数字治理以协同减排与固碳。","agent","2026-10-05T00:04:55.880239Z",{"id":1162,"title":1163,"url":1164,"summary":1165,"summary_zh":11,"content":1166,"source_name":1167,"source_url":11,"published_at":1168,"category":579,"cover_url":11,"hotness":385,"is_selected":580,"score":299,"score_detail":1169,"sources":1171,"tags":1173,"primary_topic":1178,"secondary_topics":1179,"classification":1180,"search_phrases":1196,"slug":1199,"view_count":659,"doi":11,"paper":11,"created_at":1200},4192,"河南省农科院召开科技成果示范推广工作座谈会——部署2026年示范推广工作","https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-112171.html","2月10日，河南省农业科学院召开2025年度科技成果示范推广工作总结座谈会，院党委委员、副院长李秀杰出席会议并讲话。会议听取相关单位关于开展粮油作物大面积单产提升行动、农业应急科技服务与技术指导、院县共建及优特计划实施成效的情况汇报。李秀杰指出，2026年是实施\"十五五\"规划的开局之年，强调要坚持顶天立地、深化两端发力、强化系统集成、聚焦模式凝练。河南省农业科学院与河南省农业投资集团、河南种业集团、中国农业生产资料集团、河南省中原农谷投资运营有限公司签署4个重大项目合作协议。","2026年10月05日 星期一  繁  简 \n\n![Image 2](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Fnews\u002Flogo.png)\n\n![Image 3](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fdefault\u002Fimages\u002Findex\u002Fsearch.png)\n\n[![Image 4](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002F\u002Fimages\u002Findex\u002Ftag1_active.png)首页](https:\u002F\u002Fwww.hnagri.org.cn\u002Findex.html)\n\n[![Image 5](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002F\u002Fimages\u002Findex\u002Ftag2.png)单位概况](https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-100002.html \"单位概况\")\n\n[![Image 6](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002F\u002Fimages\u002Findex\u002Ftag3.png)机构设置](https:\u002F\u002Fwww.hnagri.org.cn\u002Fcategory-404.html \"机构设置\")\n\n[![Image 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\"党建文化\")\n\n首页>新闻中心>院内新闻\n\n院内新闻\n\n我院召开科技成果示范推广工作座谈会\n\n2月10日，我院召开2025年度科技成果示范推广工作总结座谈会，院党委委员、副院长李秀杰出席会议并讲话。\n\n会议听取相关单位关于开展粮油作物大面积单产提升行动、农业应急科技服务与技术指导、院县共建及优特计划实施成效的情况汇报，并围绕我院重大科技成果培育、进一步强化科技供给同地方产业精准对接、推动成果推广和科技创新深度融合、如何开创性组织实施成果转移转化专班等方面内容进行深入交流，并提出建设性意见建议。会议系统总结了过去一年全院示范推广工作的成效与经验，并对2026年全院示范推广工作进行安排部署。\n\n![Image 12](https:\u002F\u002Fwww.hnagri.org.cn\u002Fupload\u002Fimages\u002F20260212\u002Fimg_1770886884762.png)\n\n李秀杰指出，2026年是实施“十五五”规划的开局之年，也是全面推进乡村振兴、加快建设农业强省的关键之年。他强调，一要要坚持顶天立地，在服务大局中彰显新价值；二要深化两端发力，在提质增效中实现新突破；三要强化系统集成，在协同联动中凝聚新合力；四要聚焦模式凝练，在示范引领中展现新作为。\n\n院直各研究机构负责人、优特计划各专项负责人、院县共建主体责任所联络员、科技支撑助力乡村振兴专项负责人等参加会议。\n\n 信息来源：推广处 (2026-02-12) \n\n[上一篇：我院主办科技期刊《河南农业科学》继续入选《科技期刊世界影响力指数（WJCI）报告（2025）》](https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-112170.html)\n\n[下一篇：我院举办2026年新春团拜会](https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-112178.html)\n\n新闻中心\n\n[![Image 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18](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002Fimages\u002Findex\u002Fcopyright.png)](http:\u002F\u002Fbszs.conac.cn\u002Fsitename?method=show&id=08CD19FDD1EE4C75E053022819ACAA32)\n\n主办单位：河南省农业科学院 承办单位：河南省农业科学院农业信息技术研究所 河南省信息协会农业信息分会 地 址：郑州市花园路116号 邮编：450002 版权所有：河南省农业科学院 [![Image 19](https:\u002F\u002Fwww.hnagri.org.cn\u002Ftemplates\u002Fpublic\u002Fimages\u002Findex\u002Fga.png)豫公网安备 41010502004670号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=41010502004670)[豫ICP备12024785号-2](https:\u002F\u002Fbeian.miit.gov.cn\u002F#\u002FIntegrated\u002FComplaintA)","河南省农业科学院·2026年2月12日","2026-02-12T01:00:00Z",{"impact":624,"substance":626,"depth":627,"authority":416,"freshness":455,"relevant":455,"comment":1170},"省级农科院年度示范推广工作部署会，属常规工作通稿，信息增量有限且已过时效，不宜进入每日精选。",[1172],{"name":1167,"url":1164},[588,1174,1175,1176,1177],"院县共建","农技推广","河南省农科院","科技成果转化",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":1181},{"candidates":1182,"agricultural_evidence":600},[1183,1187,1192],{"code":263,"score":400,"supported":600,"title":1184,"abstract":1185,"tags":1186},[],[588],[588],{"code":80,"score":659,"supported":600,"title":1188,"abstract":1189,"tags":1191},[],[1190],"种业",[],{"code":488,"score":69,"supported":580,"title":1193,"abstract":1194,"tags":1195},[],[],[1175,1177],[1197,1198],"河南省农科院 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单产提升","河南省农科院科技成果示范推广-4192","2026-10-05T00:04:53.444368Z",{"id":1202,"title":1203,"url":1204,"summary":1205,"summary_zh":11,"content":11,"source_name":1206,"source_url":11,"published_at":1207,"category":579,"cover_url":11,"hotness":385,"is_selected":580,"score":1208,"score_detail":1209,"sources":1211,"tags":1213,"primary_topic":1217,"secondary_topics":1218,"classification":1220,"search_phrases":1244,"slug":1247,"view_count":69,"doi":11,"paper":11,"created_at":1248},4191,"2026年花生单产提升项目测产观摩会在固镇召开——皖育花8325核心示范区亩产422.9公斤","https:\u002F\u002Fzws.aaas.org.cn\u002F4305187\u002F71301221.html","9月27日，由安徽省农业科学院作物研究所、固镇县农业农村局共同举办的\"花生高油酸品种筛选及绿色增效技术示范\"现场测产观摩会在蚌埠市固镇县顺利召开。项目在固镇镇殷陆村建立220亩花生示范片，12亩核心示范区，展示了21个高油酸花生品种。示范区在采用花生新品种皖育花8325的基础上，集成应用了ARC菌肥、有机肥替代化肥、单粒精播及绿色防控等绿色高产栽培的技术模式。皖育花8325荚果亩产422.9公斤，示范片亩产393.6公斤，超额完成既定目标。","安徽省农科院作物研究所·2026年9月29日","2026-09-29T02:00:00Z",70,{"impact":361,"substance":508,"depth":345,"authority":626,"freshness":408,"relevant":455,"comment":1210},"省级科研机构主导的花生新品种测产，数据具体、技术模式清晰，对油料作物单产提升有参考价值，但属区域性进展，时效略滞后。",[1212],{"name":1206,"url":1204},[587,588,1214,1215,1216],"花生","高油酸","绿色栽培",{"code":232,"slug":233,"name":234,"path":235,"parent_code":200},[1219],{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},{"status":595,"locked":580,"version":4,"method":596,"evidence":1221},{"candidates":1222,"agricultural_evidence":600},[1223,1227,1231,1236,1240],{"code":232,"score":416,"supported":600,"title":1224,"abstract":1225,"tags":1226},[1214],[1214],[1214],{"code":263,"score":627,"supported":600,"title":1228,"abstract":1229,"tags":1230},[588],[],[588],{"code":104,"score":659,"supported":600,"title":1232,"abstract":1233,"tags":1235},[],[1234],"绿色防控",[],{"code":80,"score":455,"supported":580,"title":1237,"abstract":1238,"tags":1239},[],[],[587],{"code":192,"score":455,"supported":580,"title":1241,"abstract":1242,"tags":1243},[],[],[1216],[1245,1246],"皖育花8325 花生 固镇","安徽农科院 花生 测产","皖育花8325花生固镇-4191","2026-10-05T00:04:53.372008Z",{"id":1250,"title":1251,"url":1252,"summary":1253,"summary_zh":1254,"content":11,"source_name":1255,"source_url":1252,"published_at":1256,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":1043,"score_detail":1257,"sources":1259,"tags":1261,"primary_topic":1266,"secondary_topics":1267,"classification":1268,"search_phrases":1299,"slug":1302,"view_count":424,"doi":1303,"paper":1304,"created_at":1317},4109,"Hormonal crosstalk at the plant–microbiome interface governing plant immunity under combined biotic and abiotic stresses","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11084-026-09767-z","Plant immunity is orchestrated through an intricate network of signaling pathways that enables plants to perceive, respond to, and adapt to a wide range of biotic and abiotic challenges. Increasing evidence indicates that phytohormones not only regulate immune responses but also mediate dynamic interactions between plants and their associated microbiomes, collectively shaping plant health and resilience. Rather than acting independently, hormones such as salicylic acid, jasmonic acid, ethylene, abscisic acid, auxin, cytokinins, gibberellins, brassinosteroids, strigolactones, melatonin, and peptide hormones interact through extensive crosstalk to balance growth, defense, and environmental adaptation. Beneficial microorganisms, including plant growth-promoting rhizobacteria, endophytes, mycorrhizal fungi, and biocontrol agents, further modulate these hormonal networks by producing bioactive metabolites, volatile organic compounds, and signaling molecules that enhance induced systemic resistance (ISR) and stress tolerance. This review provides a comprehensive and current knowledge on the molecular mechanisms underlying hormone-mediated regulation of plant immunity at the plant–microbiome interface. This review highlights how phytohormonal networks coordinate plant immune responses through pattern-triggered immunity, effector-triggered immunity, ISR, and systemic acquired resistance, particularly under combined biotic and abiotic stresses. It summarizes recent advances in multi-omics technologies that have improved our understanding of hormone–microbiome interactions and discusses emerging strategies such as biopriming, synthetic microbial communities, microbiome engineering, genome editing, RNA interference, nano-biopriming, artificial intelligence, and precision agriculture. Finally, the review outlines current knowledge gaps, translational challenges, and future research directions for developing sustainable, climate-resilient crop production systems and strengthening global food security. Graphical abstract","植物免疫通过复杂的信号通路网络进行调控，使植物能够感知、响应并适应多种生物和非生物胁迫。越来越多的证据表明，植物激素不仅调控免疫反应，还介导植物与其相关微生物组之间的动态互作，共同塑造植物健康与韧性。水杨酸、茉莉酸、乙烯、脱落酸、生长素、细胞分裂素、赤霉素、油菜素甾醇、独脚金内酯、褪黑素和肽类激素等并非独立发挥作用，而是通过广泛的交叉对话相互作用，以平衡生长、防御和环境适应。有益微生物，包括植物促生根际细菌、内生菌、菌根真菌和生物防治菌剂，通过产生生物活性代谢物、挥发性有机化合物和信号分子进一步增强诱导系统抗性（ISR）和胁迫耐受性，从而调控这些激素网络。本综述全面梳理了植物–微生物组界面中激素介导的植物免疫调控分子机制的最新知识。本综述重点阐述了植物激素网络如何通过模式触发免疫、效应子触发免疫、ISR和系统获得性抗性协调植物免疫反应，尤其是在生物与非生物胁迫复合条件下。综述总结了多组学技术的最新进展，这些技术增进了我们对激素–微生物组互作的理解，并讨论了生物 priming、合成微生物群落、微生物组工程、基因组编辑、RNA干扰、纳米生物 priming、人工智能和精准农业等新兴策略。最后，本综述概述了当前的知识空白、转化挑战以及未来研究方向，以期为开发可持续、气候韧性作物生产系统和加强全球粮食安全提供支撑。图形摘要","Discover Life","2026-10-02T00:00:00Z",{"impact":361,"substance":321,"depth":361,"authority":626,"freshness":173,"relevant":455,"comment":1258},"该综述系统梳理了植物-微生物组界面激素串扰调控免疫的分子机制，并展望了微生物组工程、基因编辑、AI等前沿策略，学术深度与信息增量突出，对智慧农业与气候韧性作物研究具有参考价值。",[1260],{"name":1255,"url":1252},[967,1262,1263,1264,1265],"植物免疫","植物激素","植物微生物组","气候韧性作物",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":1269},{"candidates":1270,"agricultural_evidence":600},[1271,1276,1280,1285,1290,1295],{"code":16,"score":643,"supported":600,"title":1272,"abstract":1273,"tags":1275},[],[1051,1274],"precision agriculture",[967],{"code":263,"score":767,"supported":600,"title":1277,"abstract":1278,"tags":1279},[],[634,646],[],{"code":232,"score":659,"supported":600,"title":1281,"abstract":1282,"tags":1284},[],[1283],"油菜",[],{"code":104,"score":659,"supported":600,"title":1286,"abstract":1287,"tags":1289},[],[1288],"生物防治",[],{"code":144,"score":659,"supported":600,"title":1291,"abstract":1292,"tags":1294},[],[1293],"根际",[],{"code":24,"score":659,"supported":600,"title":1296,"abstract":1297,"tags":1298},[],[656],[],[1300,1301],"植物微生物组 激素调控 植物免疫","植物微生物组 气候韧性作物 智慧农业 植物免疫","植物微生物组激素调控植物免疫-4109","10.1007\u002Fs11084-026-09767-z",{"doi":1303,"openalex_id":1305,"authors":1306,"venue":1255,"cited_by_count":424,"oa_url":1252,"card":1312,"direction":688,"ingested_from":691},"W7216135601",[1307,1309],{"name":1308,"orcid":11},"Seada Yassin Ahmed",{"name":1310,"orcid":1311},"Azamal Husen","https:\u002F\u002Forcid.org\u002F0000-0002-9120-5540",{"tldr":1313,"method":1314,"finding":1315,"direction":688,"opportunity":1316},"综述植物激素与微生物组互作调控植物在生物与非生物复合胁迫下免疫的机制及前沿策略。","整合多组学、激素信号网络与微生物组工程等文献证据进行系统综述。","激素网络与有益微生物协同调控PTI、ETI、ISR和SAR，提升复合胁迫下植物韧性。","可探索AI驱动的激素-微生物组互作预测模型，用于设计合成菌群与精准田间调控策略。","2026-10-03T23:30:53.236460Z",{"id":1319,"title":1320,"url":1321,"summary":1322,"summary_zh":1323,"content":11,"source_name":1324,"source_url":1321,"published_at":1110,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":1325,"score_detail":1326,"sources":1328,"tags":1330,"primary_topic":1335,"secondary_topics":1336,"classification":1337,"search_phrases":1364,"slug":1367,"view_count":69,"doi":1368,"paper":1369,"created_at":1390},4012,"African Pathways to the Three Zeros: Operationalizing Yunus Social Business Principles for Sustainable Development","https:\u002F\u002Fdoi.org\u002F10.71060\u002Fmpch5y56","Globally, persistent poverty, food insecurity, climate vulnerability, environmental degradation, and widening inequality demonstrate the limitations of fragmented approaches to sustainable development. Although the Sustainable Development Goals (SDGs) and Muhammad Yunus’s Three Zeros—Zero Poverty, Zero Hunger, and Zero Carbon Emissions—provide complementary visions, a significant research gap remains concerning how these aspirations can be operationalized through locally embedded economic systems. This study addresses this gap by examining how Yunus Social Business principles can be integrated with circular economy practices, waste valorization, sustainable livelihoods, and climate-smart agriculture. A qualitative conceptual research design was employed, combining systematic analysis of recent literature, institutional evidence, and African case illustrations from Kenya, Rwanda, Nigeria, Uganda, and Ethiopia. Systems Theory, Social Business Theory, and Sustainable Development Theory were used to guide the interpretation and construction of the proposed framework. Findings indicate that waste valorization can function as a strategic development mechanism linking employment generation, food production, resource recovery, and carbon mitigation. Evidence from African cases demonstrates that social enterprises and informal workers can contribute substantially to circular transitions when supported by appropriate institutional arrangements, finance, markets, and participatory governance. The study further finds that composting and other organic-resource recovery practices can strengthen climate-resilient agriculture and food security. The principal contribution is the development of an integrated African waste–food–climate social business framework that translates the Three Zeros from global aspirations into operational pathways. The study therefore positions social business as a potential institutional mechanism for connecting circularity, inclusion, climate resilience, and sustainable development.","在全球范围内，持续贫困、粮食不安全、气候脆弱性、环境退化以及日益加剧的不平等，凸显了碎片化可持续发展路径的局限性。尽管可持续发展目标（SDGs）与穆罕默德·尤努斯提出的“三零”愿景——零贫困、零饥饿、零碳排放——提供了互补性构想，但关于如何通过根植于本地的经济体系将这些愿景付诸实施，仍存在显著的研究空白。本研究通过探讨尤努斯社会企业原则如何与循环经济实践、废弃物价值化、可持续生计以及气候智慧型农业相融合，来填补这一空白。研究采用定性概念研究设计，结合对近期文献的系统分析、制度性证据以及来自肯尼亚、卢旺达、尼日利亚、乌干达和埃塞俄比亚的非洲案例说明。系统理论、社会企业理论和可持续发展理论被用于指导所提框架的阐释与构建。研究结果表明，废弃物价值化可以作为一种战略性发展机制，将就业创造、粮食生产、资源回收和碳减排联系起来。来自非洲案例的证据表明，在适当的制度安排、金融、市场和参与式治理支持下，社会企业和非正规劳动者能够为循环转型作出实质性贡献。研究进一步发现，堆肥及其他有机资源回收实践能够增强气候韧性农业和粮食安全。主要贡献在于构建了一个整合非洲废弃物—粮食—气候的社会企业框架，将“三零”从全球愿景转化为可操作的路径。因此，本研究将社会企业定位为一种潜在的制度机制，用以连接循环性、包容性、气候韧性和可持续发展。","Journal of Contemporary Issues in Open Distance and E-Learning",62,{"impact":173,"substance":361,"depth":624,"authority":416,"freshness":173,"relevant":455,"comment":1327},"概念性论文，提出非洲废弃物—食物—气候社会企业框架，与三农及可持续农业相关，但缺乏一手数据，公共影响有限。",[1329],{"name":1324,"url":1321},[634,1331,1332,1333,1334],"非洲农业","气候智慧农业","循环农业","社会企业",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":1338},{"candidates":1339,"agricultural_evidence":600},[1340,1344,1348,1352,1356,1360],{"code":263,"score":643,"supported":600,"title":1341,"abstract":1342,"tags":1343},[],[634,646],[634],{"code":184,"score":400,"supported":600,"title":1345,"abstract":1346,"tags":1347},[],[993],[1332],{"code":160,"score":659,"supported":600,"title":1349,"abstract":1350,"tags":1351},[],[1133],[],{"code":16,"score":659,"supported":600,"title":1353,"abstract":1354,"tags":1355},[],[1008],[],{"code":192,"score":455,"supported":580,"title":1357,"abstract":1358,"tags":1359},[],[],[1333],{"code":556,"score":455,"supported":580,"title":1361,"abstract":1362,"tags":1363},[],[],[1331],[1365,1366],"气候智慧农业 循环农业 社会企业 粮食安全","气候智慧农业 循环农业","气候智慧农业循环农业社会企业粮食安全-4012","10.71060\u002Fmpch5y56",{"doi":1368,"openalex_id":1370,"authors":1371,"venue":1324,"cited_by_count":424,"oa_url":1321,"card":1384,"direction":1033,"ingested_from":691},"W7215122745",[1372,1374,1376,1378,1381],{"name":1373,"orcid":11},"Moses Kanyambindwa",{"name":1375,"orcid":11},"Joyce Momanyi Nyangweso",{"name":1377,"orcid":11},"Br.Dr. Jonas Yawovi Dzinekou",{"name":1379,"orcid":1380},"Olga Biosca","https:\u002F\u002Forcid.org\u002F0000-0003-0422-0003",{"name":1382,"orcid":1383},"Cam Donaldson","https:\u002F\u002Forcid.org\u002F0000-0003-4670-5340",{"tldr":1385,"method":1386,"finding":1387,"direction":1388,"opportunity":1389},"构建非洲废弃物-食物-气候社会企业框架，将三零目标转化为可操作路径。","定性概念研究，系统分析文献、机构证据及肯尼亚等五国案例。","废弃物增值可联动就业、粮食、资源回收与减碳，社会企业助力循环转型。","农业绿色发展与碳","可实证检验该框架在非洲不同制度与市场条件下的适用性与绩效。","2026-10-02T23:30:12.029509Z",{"id":1392,"title":1393,"url":1394,"summary":1395,"summary_zh":1396,"content":11,"source_name":1397,"source_url":1394,"published_at":1110,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":1398,"score_detail":1399,"sources":1401,"tags":1403,"primary_topic":1407,"secondary_topics":1408,"classification":1409,"search_phrases":1428,"slug":1431,"view_count":659,"doi":1432,"paper":1433,"created_at":1453},3987,"Spatio-temporal diagnosis of land fragmentation in the Yellow River Basin: providing a basis for comprehensive land improvement","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104971","CONTEXT Land fragmentation (LF) poses a major challenge to sustainable land management, land consolidation, and agricultural productivity, especially in ecologically sensitive and strategically important regions such as the Yellow River Basin (YRB) in China. This area faces prominent issues such as LF and land degradation during land-resource utilization, underscoring the need for spatially adaptive governance and targeted land consolidation strategies. OBJECTIVE This study aims to systematically examine the spatiotemporal evolution of LF in the YRB from 2000 to 2022, with the goal of identifying regional differentiation patterns and influencing factors. It further seeks to propose tailored land consolidation strategies based on fine-grained spatial assessment and functional zoning, in order to support sustainable land use and national food security. METHODS Landscape pattern indices and profile line analysis were used across five time periods to capture LF dynamics. A composite land fragmentation index (LFI) is developed from six landscape metrics, weighted by the entropy method, enabling high-resolution spatial evaluation at the grid scale. Additionally, a Four-Quadrant Model was applied to classify functional zones for land consolidation, incorporating factors such as elevation, temperature, and GDP. RESULTS AND CONCLUSIONS LF in the YRB exhibits significant regional variation, with lower fragmentation in the upper reaches and higher fragmentation in eastern regions—especially in Shanxi and Shandong provinces. Over 60% of the basin remained stable, and LF was strongly associated with elevation, temperature, and economic activity. Based on these patterns, four functional zones were delineated: dynamic reconstruction, optimization and enhancement, steady-state restoration, and collaborative demonstration areas. Comprehensive policy suggestions are provided for integrated land consolidation aligned with LF characteristics and zonal planning. SIGNIFICANCE This study innovatively developed a scientific and systematic LF evaluation framework from a raster-based perspective. Using this framework, we conducted a precise quantitative analysis of the dynamic LF process and explored the mechanisms and impacts of various factors such as policy direction, natural environmental conditions, and socioeconomic factors on LF. Based on the LF findings, this study proposes a comprehensive and feasible land consolidation plan, providing solid, reliable data support for the plan's rationale and scientific foundation. The results are of significant theoretical and practical value for optimizing land resource allocation, enhancing land use efficiency, and promoting regional sustainable development.","背景 土地细碎化（LF）是可持续土地管理、土地整治和农业生产率面临的重大挑战，尤其是在黄河 basin（YRB）等生态敏感且具有战略重要性的地区。该区域在土地资源利用过程中面临土地细碎化和土地退化等突出问题，凸显了空间适应性治理和针对性土地整治策略的必要性。 目标 本研究旨在系统考察2000年至2022年黄河流域土地细碎化的时空演变，以识别区域分异格局及其影响因素。研究进一步寻求基于精细化空间评估和功能分区提出有针对性的土地整治策略，以支持可持续土地利用和国家粮食安全。 方法 采用景观格局指数和剖面线分析，涵盖五个时期，以刻画土地细碎化动态。基于六个景观指标构建综合土地细碎化指数（LFI），并采用熵权法赋权，从而实现网格尺度上的高分辨率空间评估。此外，应用四象限模型对土地整治功能区进行分类，纳入海拔、气温和GDP等因素。 结果与结论 黄河流域土地细碎化表现出显著的区域差异，上游细碎化程度较低，东部地区细碎化程度较高，尤其是山西和山东两省。超过60%的流域保持稳定，土地细碎化与海拔、气温和经济活动密切相关。基于这些格局，划定了四类功能区：动态重构区、优化提升区、稳态修复区和协同示范区。并提出了与土地细碎化特征和分区规划相一致的综合土地整治政策建议。 意义 本研究创新性地从栅格视角构建了科学、系统的土地细碎化评价框架。利用该框架，我们对土地细碎化动态过程进行了精确的定量分析，并探讨了政策导向、自然环境条件和社会经济因素等多种因素对土地细碎化的作用机制及影响。基于土地细碎化研究结果，本研究提出了综合且可行的土地整治方案，为","Agricultural Systems",81,{"impact":361,"substance":321,"depth":361,"authority":345,"freshness":627,"relevant":455,"comment":1400},"基于栅格尺度构建土地细碎化指数并划分整治功能分区，方法新颖、数据扎实，对黄河流域耕地保护与土地整治有直接参考价值。",[1402],{"name":1397,"url":1394},[1050,1404,1405,835,1406],"耕地保护","黄河流域","土地整治",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":1410},{"candidates":1411,"agricultural_evidence":600},[1412,1416,1420,1424],{"code":263,"score":767,"supported":600,"title":1413,"abstract":1414,"tags":1415},[],[634,646],[],{"code":136,"score":69,"supported":580,"title":1417,"abstract":1418,"tags":1419},[],[],[1406,1404],{"code":32,"score":69,"supported":580,"title":1421,"abstract":1422,"tags":1423},[],[],[1050,835],{"code":496,"score":455,"supported":580,"title":1425,"abstract":1426,"tags":1427},[],[],[1406],[1429,1430],"黄河流域 土地细碎化","土地细碎化指数 土地整治","黄河流域土地细碎化-3987","10.1016\u002Fj.agsy.2026.104971",{"doi":1432,"openalex_id":1434,"authors":1435,"venue":1397,"cited_by_count":424,"oa_url":1394,"card":1448,"direction":884,"ingested_from":691},"W7215038160",[1436,1438,1441,1443,1446],{"name":1437,"orcid":11},"Xiaoxu Wei",{"name":1439,"orcid":1440},"Qiaolin Shu","https:\u002F\u002Forcid.org\u002F0009-0009-9478-6625",{"name":1442,"orcid":11},"Wei Wei",{"name":1444,"orcid":1445},"Binbin Xie","https:\u002F\u002Forcid.org\u002F0000-0003-0224-5485",{"name":1447,"orcid":11},"Junju Zhou",{"tldr":1449,"method":1450,"finding":1451,"direction":884,"opportunity":1452},"构建栅格尺度土地破碎化指数，诊断黄河流域2000-2022年时空演变并划分整治功能区。","景观格局指数、剖面线分析、熵权法综合指数与四象限模型，结合高程、气温、GDP数据","上游破碎化低、东部山西山东高，超60%区域稳定，破碎化与高程、气温和经济活动强相关。","可将栅格破碎化指数与遥感作物分类、地块边界提取耦合，发展面向智慧农业的田块尺度整治与种植决策模型。","2026-10-02T23:30:06.999389Z",{"id":1455,"title":1456,"url":1457,"summary":1458,"summary_zh":11,"content":11,"source_name":1459,"source_url":11,"published_at":1460,"category":579,"cover_url":11,"hotness":385,"is_selected":580,"score":1461,"score_detail":1462,"sources":1464,"tags":1466,"primary_topic":1471,"secondary_topics":1472,"classification":1474,"search_phrases":1498,"slug":1501,"view_count":659,"doi":11,"paper":11,"created_at":1502},3956,"福建2026年福州市闽清县水稻单产提升高素质农民培训班开班——省农科院水稻所参训","https:\u002F\u002Fjxcg.ngx.net.cn\u002Fjypx\u002Fjnpx\u002F202609\u002Ft20260928_247261.html","9月24日，2026年福州市闽清县水稻单产提升高素质农民培训班开班，为期7天，吸引50名从事或有意愿从事粮油生产、经营、服务的农民和返乡人员参加。培训班由闽清县农业农村局主办，福州市金昕职业培训学校有限公司承办，安排有4天田间实践教学，学员们先后前往福建省农科院水稻研究所、福州市长乐区雪美农业开发有限公司、福清市相思岭农创农业发展有限公司等实训基地，实地学习水稻育种设施、稻米加工技术、农机与智慧农业平台协同作业等。","中国农村远程教育网·2026年09月28日","2026-09-28T03:16:00Z",41,{"impact":173,"substance":416,"depth":173,"authority":173,"freshness":408,"relevant":455,"comment":1463},"县级高素质农民培训动态，含智慧农业平台与田间实训内容，但层级与信息增量有限，属常规地方报道。",[1465],{"name":1459,"url":1457},[967,1467,1468,1469,1470],"水稻单产提升","高素质农民","田间实训","福建闽清",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[1473],{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},{"status":595,"locked":580,"version":4,"method":596,"evidence":1475},{"candidates":1476,"agricultural_evidence":600},[1477,1482,1486,1490,1494],{"code":208,"score":345,"supported":600,"title":1478,"abstract":1479,"tags":1481},[210],[210,1480],"稻米",[],{"code":263,"score":416,"supported":600,"title":1483,"abstract":1484,"tags":1485},[588],[588],[1467],{"code":16,"score":400,"supported":600,"title":1487,"abstract":1488,"tags":1489},[],[967],[967],{"code":112,"score":659,"supported":600,"title":1491,"abstract":1492,"tags":1493},[],[1081],[],{"code":488,"score":455,"supported":580,"title":1495,"abstract":1496,"tags":1497},[],[],[1468],[1499,1500],"闽清县 水稻单产提升 培训班","福建省农科院水稻所 实训","闽清县水稻单产提升培训班-3956","2026-10-02T11:53:12.917292Z",{"id":1504,"title":1505,"url":1506,"summary":1507,"summary_zh":1508,"content":11,"source_name":1509,"source_url":1506,"published_at":1510,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":1511,"score_detail":1512,"sources":1514,"tags":1516,"primary_topic":1518,"secondary_topics":1519,"classification":1520,"search_phrases":1554,"slug":1557,"view_count":69,"doi":1558,"paper":1559,"created_at":1570},3826,"From Dry Fields To Smart Resilience: Climate-Smart Agriculture, Digital Early-Warning Systems And Household Food Security In Chivi District, Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.36923\u002Fsq.v3i1.435","This paper examines how climate-smart agriculture (CSA) and digital early-warning systems can jointly support household food-security resilience in Chivi District, a drought-prone area of south-eastern Zimbabwe dominated by rain-fed smallholder agriculture. Using a structured qualitative evidence synthesis with a district-centred case orientation, the study reviews 47 academic, policy and institutional sources published from 2021 to 14 September 2026. The study prioritises direct Chivi evidence, while using Zimbabwean, southern African, and wider African evidence comparatively where district-specific studies are limited. The synthesis identifies six interrelated themes concerning climate shocks, CSA adoption, small grains and water management, digital early warning, gender and institutional capacity, and integrated resilience. The findings indicate that CSA can strengthen food security when extension, inputs, finance, and markets support conservation agriculture, crop diversification, small grains, soil-fertility management, and water harvesting. However, digital early-warning information contributes to resilience only when it is timely, trusted, localised and translated into feasible action. Accordingly, the paper's principal contribution is an integrated smart-resilience framework centred on an information-to-action pathway: climate information can influence household food-security resilience only when farmers have viable adaptation options and the material, social and institutional capacity to act. The paper therefore treats digital information, agronomic adaptation, gender, household resources and local institutions as interdependent rather than separate interventions.","本文考察气候智慧型农业（climate-smart agriculture, CSA）与数字预警系统如何共同支撑津巴布韦东南部干旱易发区奇维（Chivi）地区以雨养小农农业为主的家庭粮食安全韧性。研究采用以地区为中心的案例导向结构化定性证据综合方法，梳理了2021年至2026年9月14日期间发表的47份学术、政策与机构文献。研究优先采用奇维地区的直接证据，在地区性专门研究有限时，则比较性地参考津巴布韦、南部非洲及更广泛非洲的证据。该综合识别出六个相互关联的主题，涉及气候冲击、气候智慧型农业采纳、小粒谷物与水资源管理、数字预警、性别与制度能力，以及综合韧性。研究结果表明，当推广服务、投入品、金融和市场支持保护性农业、作物多样化、小粒谷物、土壤肥力管理和集水时，气候智慧型农业能够增强粮食安全。然而，数字预警信息只有在及时、可信、本地化并转化为可行行动时，才能促进韧性。因此，本文的主要贡献在于提出了一个以信息到行动路径为核心的综合智慧韧性框架：气候信息只有在农民拥有可行的适应选项以及采取行动所需的物质、社会和制度能力时，才能影响家庭粮食安全韧性。据此，本文将数字信息、农艺适应、性别、家庭资源和地方制度视为相互依存的干预措施，而非彼此分离的干预措施。","Sustainability Quest","2026-09-29T00:00:00Z",56,{"impact":173,"substance":361,"depth":624,"authority":767,"freshness":173,"relevant":455,"comment":1513},"以津巴布韦Chivi区为案例的定性证据综述，提出信息到行动的气候智慧农业韧性框架，对数字预警落地条件有参考价值，但属区域案例研究，公共影响有限。",[1515],{"name":1509,"url":1506},[967,634,998,1332,1517],"数字预警",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":1521},{"candidates":1522,"agricultural_evidence":600},[1523,1527,1531,1537,1541,1545,1549],{"code":263,"score":829,"supported":600,"title":1524,"abstract":1525,"tags":1526},[646],[634,646],[634],{"code":16,"score":416,"supported":600,"title":1528,"abstract":1529,"tags":1530},[1008],[1008],[967],{"code":184,"score":643,"supported":600,"title":1532,"abstract":1533,"tags":1536},[],[1534,1535],"干旱","drought",[1332],{"code":144,"score":767,"supported":600,"title":1538,"abstract":1539,"tags":1540},[],[863,145],[],{"code":496,"score":400,"supported":600,"title":1542,"abstract":1543,"tags":1544},[],[999],[998],{"code":152,"score":659,"supported":600,"title":1546,"abstract":1547,"tags":1548},[],[852],[],{"code":192,"score":659,"supported":600,"title":1550,"abstract":1551,"tags":1553},[],[1552],"conservation agriculture",[],[1555,1556],"气候智慧农业 数字预警 智慧农业 粮食安全","气候智慧农业 数字预警","气候智慧农业数字预警智慧农业粮食安全-3826","10.36923\u002Fsq.v3i1.435",{"doi":1558,"openalex_id":1560,"authors":1561,"venue":1509,"cited_by_count":424,"oa_url":1506,"card":1565,"direction":1033,"ingested_from":691},"W7214743351",[1562],{"name":1563,"orcid":1564},"Victor Madziyauswa","https:\u002F\u002Forcid.org\u002F0000-0002-6122-6666",{"tldr":1566,"method":1567,"finding":1568,"direction":690,"opportunity":1569},"综述津巴布韦Chivi地区气候智慧农业与数字预警系统如何共同提升家庭粮食安全韧性。","结构化定性证据综合，分析47份2021-2026年学术、政策与机构文献。","数字预警须及时、可信、本地化并转化为可行行动，且需配套适应选项与能力才能提升韧性。","可实证检验“信息—行动”路径，研究数字预警与农户适应能力、性别和制度条件的交互机制。","2026-09-30T23:30:09.849166Z",{"id":1572,"title":1573,"url":1574,"summary":1575,"summary_zh":1576,"content":11,"source_name":699,"source_url":1574,"published_at":1577,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":1578,"score_detail":1579,"sources":1581,"tags":1583,"primary_topic":1587,"secondary_topics":1588,"classification":1589,"search_phrases":1613,"slug":1616,"view_count":659,"doi":1617,"paper":1618,"created_at":1632},3766,"The food security dividend: how green finance-induced rural revitalisation strengthens agricultural resilience","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1708484","Introduction Green finance (GF) has become crucial for improving agricultural infrastructure in rural areas. This study aims to identify the role of GF-induced rural revitalisation in enhancing agricultural resilience (AR). At the same time, the association between food security and AR is determined, followed by the impact of education and environmental regulation on AR. Methods The quantitative data were collected from the “Food and Agriculture Organisation of the United Nations” for different Asian countries (Cambodia, China, Pakistan, Myanmar, India, Indonesia, Laos, Mongolia, Nepal, Sri Lanka, the Philippines, Thailand, Uzbekistan and Vietnam). The selected timeframe ranged from 2012 to 2022. The descriptive statistics, correlation analysis and multiple old regression models were applied to the data. Results The results obtained show that GF, environmental regulation, and education boost agricultural productivity ( p \u003C 0.05), whereas higher climate risk reduces it. GF and rural income significantly improve productivity ( p \u003C 0.05), leading to an enhancement of AR. This helps in decreasing food insecurity. Environmental regulation and education are both key drivers of better productivity. AR has generally increased over the years with some ups and downs. Moreover, GF levels differ widely between countries. However, agricultural leaders such as China, Thailand, Indonesia and India tend to have stronger AR and GF. Higher education scores are associated with better agricultural productivity and stronger environmental regulations to attain AR. Finally, productivity levels vary greatly between the selected countries. Discussion This study emphasises the integration of GF in agricultural infrastructure to enhance AR and food security.","引言 绿色金融（GF）已成为改善农村地区农业基础设施的关键。本研究旨在明确绿色金融驱动的乡村振兴在增强农业韧性（AR）中的作用。同时，确定粮食安全与农业韧性之间的关联，并进一步探讨教育和环境规制对农业韧性的影响。方法 定量数据收集自联合国粮食及农业组织，涵盖多个亚洲国家（柬埔寨、中国、巴基斯坦、缅甸、印度、印度尼西亚、老挝、蒙古、尼泊尔、斯里兰卡、菲律宾、泰国、乌兹别克斯坦和越南）。所选时间范围为2012年至2022年。对数据应用了描述性统计、相关性分析和多元旧回归模型。结果 所得结果表明，绿色金融、环境规制和教育提升了农业生产力（p \u003C 0.05），而较高的气候风险则降低了农业生产力。绿色金融和农村收入显著提高了生产力（p \u003C 0.05），从而增强了农业韧性。这有助于减少粮食不安全。环境规制和教育都是提高生产力的关键驱动因素。农业韧性总体上多年来有所提升，但伴有起伏。此外，各国绿色金融水平差异较大。然而，中国、泰国、印度尼西亚和印度等农业领先国家往往具有更强的农业韧性和绿色金融。较高的教育得分与更好的农业生产力和更强的环境规制相关联，从而实现农业韧性。最后，所选国家之间的生产力水平差异很大。讨论 本研究强调将绿色金融纳入农业基础设施，以增强农业韧性和粮食安全。","2026-09-28T00:00:00Z",77,{"impact":361,"substance":1045,"depth":625,"authority":626,"freshness":173,"relevant":455,"comment":1580},"基于FAO多国面板数据的实证研究，揭示绿色金融通过乡村振兴提升农业韧性与粮食安全的机制，对农业信息化与农村金融政策有参考价值。",[1582],{"name":699,"url":1574},[1118,634,1584,1585,1586],"农业韧性","绿色金融","农村振兴",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":1590},{"candidates":1591,"agricultural_evidence":600},[1592,1596,1600,1605,1609],{"code":263,"score":829,"supported":600,"title":1593,"abstract":1594,"tags":1595},[646],[634,646],[634],{"code":480,"score":659,"supported":600,"title":1597,"abstract":1598,"tags":1599},[],[662],[],{"code":527,"score":659,"supported":600,"title":1601,"abstract":1602,"tags":1604},[],[1603],"rural income",[],{"code":503,"score":455,"supported":580,"title":1606,"abstract":1607,"tags":1608},[],[],[1585],{"code":56,"score":455,"supported":580,"title":1610,"abstract":1611,"tags":1612},[],[],[1118],[1614,1615],"绿色金融 农业韧性 粮食安全","亚洲 农业韧性 绿色金融","绿色金融农业韧性粮食安全-3766","10.3389\u002Ffsufs.2026.1708484",{"doi":1617,"openalex_id":1619,"authors":1620,"venue":699,"cited_by_count":424,"oa_url":1574,"card":1627,"direction":1388,"ingested_from":691},"W7214667116",[1621,1623,1625],{"name":1622,"orcid":11},"Zixiang Zhao",{"name":1624,"orcid":11},"Chengcheng Lin",{"name":1626,"orcid":11},"Po-Wen Tsai",{"tldr":1628,"method":1629,"finding":1630,"direction":1388,"opportunity":1631},"研究绿色金融驱动的乡村振兴如何通过提升农业生产率增强农业韧性并保障粮食安全。","基于FAO 2012-2022年14个亚洲国家面板数据，用描述统计、相关分析和多","绿色金融、环境规制与教育显著提升农业生产率和农业韧性，气候风险则降低生产率。","可深入探究绿色金融影响农业韧性的微观传导机制，并比较不同国家制度环境的调节效应。","2026-09-29T23:30:07.494934Z",{"id":1634,"title":1635,"url":1636,"summary":1637,"summary_zh":1638,"content":11,"source_name":699,"source_url":1636,"published_at":1510,"category":621,"cover_url":11,"hotness":385,"is_selected":580,"score":1043,"score_detail":1639,"sources":1641,"tags":1643,"primary_topic":1648,"secondary_topics":1649,"classification":1650,"search_phrases":1665,"slug":1668,"view_count":659,"doi":1669,"paper":1670,"created_at":1682},3757,"Same-industry digital peer effects among Chinese listed grain-related enterprises: evidence from the grain industrial chain context","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1883572","Digital transformation of the grain industrial chain is a critical pillar for safeguarding national food security. Currently, the Chinese government attaches great importance to fostering new quality productive forces in agriculture and has provided robust policy support for the digital transformation of the grain industrial chain. However, the willingness of various stakeholders along the chain to undergo digital transformation remains highly uneven, leading to an increasingly prominent contradiction between the national goal of building a powerful grain industry and the practical challenges faced by micro-entities: reluctance to transform, fear of transformation, and lack of capacity to transform. This paper explores the mitigation path of this contradiction from the perspective of digital peer effects, aiming to provide new insights for advancing the digital transformation of the grain industrial chain. Taking grain-related enterprises listed on the Shanghai and Shenzhen Stock Exchanges of China from 2013 to 2023 as the research sample, this paper empirically tests the existence, heterogeneous characteristics and economic consequences of peer effects in the digital transformation of grain-related enterprises. The results indicate that grain-related enterprises experience significant peer effects with respect to digital transformation, and enterprises of different sizes exhibit heterogeneous responses. The higher the level of economic development and the more sophisticated the financial system in the region where an enterprise is located, the stronger the digital peer effects. These peer effects are significantly associated with reduced operating costs and increased operating revenue. Further analysis reveals that significant digital peer effects are observed among upstream enterprises, while those among midstream and downstream enterprises fail to pass the significance test. The digital transformation of downstream enterprises exerts a significant positive impact on upstream and midstream enterprises, but the reverse impact is not statistically significant. Based on these results, we propose strengthening cross-segment coordination, communication, and knowledge-sharing within the grain industrial chain to amplify peer-driven digital spillovers and raise overall chain-wide digitalization.","粮食产业链数字化转型是保障国家粮食安全的关键支柱。当前，中国政府高度重视培育农业新质生产力，为粮食产业链数字化转型提供了有力的政策支持。然而，产业链上各主体的数字化转型意愿呈现显著不均衡，导致国家建设粮食强国的目标与微观主体“不愿转、不敢转、不会转”的现实困境之间的矛盾日益突出。本文从数字化同群效应的视角探讨这一矛盾的缓解路径，旨在为推进粮食产业链数字化转型提供新的思路。本文以2013—2023年中国沪深A股涉粮上市公司为研究样本，实证检验涉粮企业数字化转型同群效应的存在性、异质性特征及经济后果。结果表明，涉粮企业数字化转型存在显著的同群效应，不同规模企业的响应具有异质性。企业所在地区经济发展水平越高、金融体系越完善，数字化同群效应越强。该同群效应与营业成本降低和营业收入增加显著相关。进一步分析发现，上游企业之间存在显著的数字化同群效应，而中游和下游企业的同群效应未能通过显著性检验。下游企业的数字化转型对上游和中游企业具有显著的正向影响，但反向影响在统计上不显著。基于上述结果，本文提出应加强粮食产业链上下游环节之间的协调、沟通与知识共享，以放大同群驱动的数字化溢出效应，提升全链条整体数字化水平。",{"impact":361,"substance":1045,"depth":625,"authority":626,"freshness":385,"relevant":455,"comment":1640},"基于2013—2023年沪深粮食类上市公司数据的实证研究，揭示数字化转型同群效应的存在性、异质性与经济后果，对推进粮食产业链数字化具有参考价值。",[1642],{"name":699,"url":1636},[1644,634,1645,1646,1647],"农业新质生产力","数字化转型","粮食产业链","同群效应",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[],{"status":595,"locked":580,"version":4,"method":596,"evidence":1651},{"candidates":1652,"agricultural_evidence":600},[1653,1657,1661],{"code":263,"score":643,"supported":600,"title":1654,"abstract":1655,"tags":1656},[],[634,646],[634],{"code":16,"score":455,"supported":580,"title":1658,"abstract":1659,"tags":1660},[],[],[1645],{"code":549,"score":455,"supported":580,"title":1662,"abstract":1663,"tags":1664},[],[],[1644],[1666,1667],"粮食产业链 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Guo",{"tldr":1678,"method":1679,"finding":1680,"direction":690,"opportunity":1681},"基于2013-2023年中国粮食相关上市企业，实证检验数字化转型的同行业同群效应及其异质性与经济后果","沪深粮食相关上市公司面板数据，实证检验同群效应、异质性与经济后果。","粮食企业数字化转型存在显著同群效应，上游显著、中下游不显著，下游对上游和中游有正向溢出。","可延伸研究粮食产业链跨环节数字溢出的传导机制与政策干预路径，尤其关注中下游企业转型激励不足问题。","2026-09-29T23:30:06.703802Z",{"id":1684,"title":1685,"url":1686,"summary":1687,"summary_zh":11,"content":1688,"source_name":1689,"source_url":11,"published_at":1690,"category":579,"cover_url":11,"hotness":385,"is_selected":580,"score":581,"score_detail":1691,"sources":1693,"tags":1695,"primary_topic":1699,"secondary_topics":1700,"classification":1702,"search_phrases":1721,"slug":1724,"view_count":455,"doi":11,"paper":11,"created_at":1725},3707,"陕西农发集团华阴农场冬小麦单产提升模式入选全国典型案例","https:\u002F\u002Fsxgz.shaanxi.gov.cn\u002Fsy\u002Fgqzc\u002Fqydt\u002F202609\u002Ft20260924_3698868.html","华阴农场2300亩连片麦田平均亩产798.6公斤，刷新陕西省千亩规模化小麦种植产量纪录；300亩吨半田示范区折合标准产量818.10公斤\u002F亩。坚持五良协同发力：增施有机肥、土壤改良、新麦9369品种、精量播种设备GPS导航、水肥一体化精准调控。","近日，全国农业技术推广服务中心发布2026年农技员进村包户联主体支撑小麦油菜大面积单产提升典型案例名单，陕西农发集团下属陕西农垦集团华阴农场冬小麦大面积单产提升技术模式成功入选。本次全国共入选小麦典型案例35个，陕西省占5席。\n\n今年夏收，经农业农村部小麦专家指导组等权威专家实收测产，华阴农场2300亩连片麦田平均亩产798.6公斤，刷新陕西省千亩规模化小麦种植产量纪录；300亩“吨半田”示范区折合标准产量818.10公斤\u002F亩。\n\n成绩背后，是华阴农场多年来坚持“五良”协同发力的结果。农场全域推进增施有机肥与土壤改良，夯实良田基础；联合陕垦大华种业公司优选抗倒伏性强的“新麦9369”品种，筑牢良种根基；引进精量播种设备和GPS导航定位系统，提升良机效率；集成水肥一体化精准调控、测土配方施肥、宽幅沟播等技术，强化良法赋能；构建小麦—玉米轮作周年高效栽培体系，实现全链条标准化管控。去年秋播期间，面对持续秋淋导致的大面积晚播，农场通过“一播就管”、精准施策，将“晚播弱苗”管成了“丰产壮苗”。\n\n华阴农场表示，将以此次入选全国典型案例为契机，持续深化 “五良” 技术模式推广应用，以高标准生产保障粮食稳产增产，以科技创新赋能现代农业建设，全力打造更高水平的粮食生产基地，为陕西大面积规模化粮食单产持续提升、筑牢全省粮食安全屏障贡献力量。","陕西省国资委","2026-09-24T00:00:00Z",{"impact":321,"substance":508,"depth":829,"authority":385,"freshness":408,"relevant":455,"comment":1692},"全国典型案例入选且有权威测产数据支撑，属省级农垦单产提升的实质进展，但时效稍旧、层级偏区域。",[1694],{"name":1689,"url":1686},[634,588,1696,1697,1698],"冬小麦","农垦","五良协同",{"code":216,"slug":217,"name":218,"path":219,"parent_code":200},[1701],{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},{"status":595,"locked":580,"version":4,"method":596,"evidence":1703},{"candidates":1704,"agricultural_evidence":600},[1705,1709,1713,1717],{"code":216,"score":416,"supported":600,"title":1706,"abstract":1707,"tags":1708},[218],[218],[1696],{"code":263,"score":385,"supported":600,"title":1710,"abstract":1711,"tags":1712},[588],[],[588,634],{"code":96,"score":659,"supported":600,"title":1714,"abstract":1715,"tags":1716},[],[1052],[],{"code":144,"score":659,"supported":600,"title":1718,"abstract":1719,"tags":1720},[],[863],[],[1722,1723],"华阴农场 冬小麦 单产提升","新麦9369 吨半田","华阴农场冬小麦单产提升-3707","2026-09-29T00:08:20.039705Z",{"id":1727,"title":1728,"url":1729,"summary":1730,"summary_zh":11,"content":1731,"source_name":1732,"source_url":11,"published_at":1733,"category":579,"cover_url":11,"hotness":385,"is_selected":580,"score":1734,"score_detail":1735,"sources":1737,"tags":1739,"primary_topic":1743,"secondary_topics":1744,"classification":1746,"search_phrases":1765,"slug":1768,"view_count":408,"doi":11,"paper":11,"created_at":1769},3697,"陕西5项小麦大面积单产提升典型案例入选全国榜单","https:\u002F\u002Fwww.shaanxi.gov.cn\u002Fxw\u002Fsxyw\u002F202609\u002Ft20260927_3699113.html","全国农技中心发布2026年农技员进村包户联主体支撑小麦油菜大面积单产提升典型案例，全国共遴选小麦35个、油菜52个，陕西5项小麦案例入选。西安阎良区杨居村种植周麦49、中种麦21示范面积500亩，实收亩产854.95公斤。","9月23日，记者从省农业技术推广总站获悉：全国农技中心日前发布2026年农技员进村包户联主体支撑小麦、油菜大面积单产提升典型案例，全国共遴选推介35个小麦、52个油菜大面积单产提升典型案例，陕西5项小麦大面积单产提升典型案例成功入选。\n\n此次入选的5项案例分别位于西安市阎良区武屯街道杨居村、宝鸡市岐山县凤鸣镇朱家塬村、铜川市耀州区小丘镇坳底村、渭南市华阴农场及澄城县寺前镇吴坡现代农业示范园，涵盖免耕施肥宽幅沟播、水肥精准调控、旱地丰产增效等不同技术模式。其中，西安市阎良区武屯街道杨居村种植的“周麦49”“中种麦21”，示范面积500亩，实收亩产854.95公斤，采用小麦免耕施肥宽幅沟播模式。宝鸡市岐山县凤鸣镇朱家塬村种植的100亩“西农99”小麦，集成应用“一增二精三优”水肥精准调控技术模式，依托搭载北斗导航辅助驾驶系统的高性能播种机械，通过旋地、深松、播种、施肥、镇压一体化联合作业，实收亩产达761.07公斤。\n\n近年来，陕西扎实推进全国粮油作物大面积单产提升行动，联动部、省、市、县、镇五级农技体系下沉一线，构建市、县、镇三级包联服务机制，组织农技人员进村包户、蹲点指导，聚焦良种选配、技术集成、农机赋能等方面系统发力，以点带面推动粮油生产提质增效。\n\n省农业技术推广总站相关负责人表示，将以此次入选全国典型案例为契机，持续深化农技推广服务体系建设，加大大面积单产提升技术模式示范推广力度，持续挖掘粮油增产潜力，为保障粮食安全、推动农业高质量发展夯实基础。（记者 刘正龙）","陕西省人民政府","2026-09-27T00:00:00Z",71,{"impact":361,"substance":508,"depth":829,"authority":416,"freshness":767,"relevant":455,"comment":1736},"全国农技中心典型案例发布，含具体品种、亩产数据与技术模式，对农技推广与智慧农机应用有参考价值。",[1738],{"name":1732,"url":1729},[634,1175,1740,1741,1742],"小麦单产提升","水肥精准调控","北斗导航农机",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[1745],{"code":216,"slug":217,"name":218,"path":219,"parent_code":200},{"status":595,"locked":580,"version":4,"method":596,"evidence":1747},{"candidates":1748,"agricultural_evidence":600},[1749,1753,1757,1761],{"code":263,"score":416,"supported":600,"title":1750,"abstract":1751,"tags":1752},[588],[588],[634],{"code":216,"score":524,"supported":600,"title":1754,"abstract":1755,"tags":1756},[218],[218],[],{"code":232,"score":659,"supported":600,"title":1758,"abstract":1759,"tags":1760},[],[1283],[],{"code":488,"score":455,"supported":580,"title":1762,"abstract":1763,"tags":1764},[],[],[1175],[1766,1767],"陕西 小麦 单产提升 典型案例","周麦49 西农99 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