[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4873":3,"related-4873":132},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":87,"slug":90,"view_count":91,"doi":92,"paper":93,"created_at":131},4873,"Cover plants fixed large amounts of atmospheric N, contributing to the N balance in irrigated fruit crops in the Brazilian semiarid region","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1923393","Introduction Cover crops, or cover plants, especially legumes, can counterbalance the depletion in soil organic matter, the low supply of nitrogen from the organic reserves and the losses of the inorganic fertilizers in irrigated fruit crops. Methods We tested two cover crop mixtures, one with more and the other with less legume proportions, and one treatment where the spontaneous weeds were left to grow, before planting melon or intercropping in a mango orchard. Biomass of the cover crops and the weeds were cut and incorporated or left on the soil surface. Results In general, incorporation or surface placement did not significantly differ. The cover crop aboveground biomass production in the mixtures varied from 5.82 to 11.95 Mg ha −1 y −1 while the spontaneous weeds biomass varied from 2.18 to 6.56 Mg ha −1 y −1 . The N contents of the cover crop mixtures varied from 125 to 333 kg ha −1 y −1 , while those of the spontaneous weeds from 25 to 160 kg ha −1 y −1 . The N fixation varied from 56 to 106 kg ha −1 y −1 in the cover crop mixtures and from 17 to 102 kg ha −1 y −1 in the spontaneous weeds. Discussion These amounts are of the same order as those exported with the fruits. Thus, cover crops, especially those with high legume proportions, are promising practices in tropical irrigated fruit production system, deserving further agronomic and economic studies to validate their recommendation to producers.","引言 覆盖作物或覆盖植物，尤其是豆科植物，可以抵消灌溉果树作物中土壤有机质的耗竭、有机储备氮供应不足以及无机肥料损失的问题。方法 我们在种植甜瓜或在芒果园中间作之前，测试了两种覆盖作物混播组合，一种豆科比例较高，另一种豆科比例较低，并设置了一个让自然杂草生长的处理。覆盖作物和杂草的生物量被刈割后翻压或留在土壤表面。结果 总体而言，翻压或表面覆盖之间没有显著差异。混播组合中覆盖作物的地上部生物量产量在5.82至11.95 Mg ha⁻¹ y⁻¹之间变化，而自然杂草生物量在2.18至6.56 Mg ha⁻¹ y⁻¹之间变化。覆盖作物混播组合的氮含量在125至333 kg ha⁻¹ y⁻¹之间变化，而自然杂草的氮含量在25至160 kg ha⁻¹ y⁻¹之间变化。覆盖作物混播组合的固氮量在56至106 kg ha⁻¹ y⁻¹之间变化，自然杂草的固氮量在17至102 kg ha⁻¹ y⁻¹之间变化。讨论 这些数量与果实带走的养分量处于同一数量级。因此，覆盖作物，尤其是豆科比例较高的覆盖作物，是热带灌溉水果生产体系中具有前景的实践措施，值得进一步开展农艺学和经济学研究，以验证其向生产者推广的可行性。",null,"Frontiers in Sustainable Food Systems","2026-10-13T00:00:00Z","论文",10,false,72,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,21,17,13,9,1,"巴西半干旱区灌溉果园覆盖作物固氮的实测数据扎实，对绿肥与果园土壤管理有参考价值，但属区域性研究，未达每日精选门槛。",[25],{"name":10,"url":6},[27,28,29,30,31],"生物固氮","绿肥覆盖作物","果园生草","热带灌溉农业","土壤培肥",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"B2","fruit","果树","\u002Ftopic\u002Fhorticulture\u002Ffruit","B",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,52,60,67,74,81],{"code":33,"score":21,"supported":46,"title":47,"abstract":48,"tags":51},true,[],[35,49,50],"芒果","orchard",[],{"code":53,"score":54,"supported":46,"title":55,"abstract":56,"tags":59},"A7",6,[],[57,58],"间作","intercropping",[],{"code":61,"score":54,"supported":46,"title":62,"abstract":63,"tags":66},"H2",[],[64,65],"土壤","soil",[],{"code":68,"score":69,"supported":46,"title":70,"abstract":71,"tags":73},"F3",4,[],[72],"肥料",[27],{"code":75,"score":76,"supported":46,"title":77,"abstract":78,"tags":80},"B1",3,[],[79],"甜瓜",[],{"code":82,"score":76,"supported":46,"title":83,"abstract":84,"tags":86},"H3",[],[85],"灌溉",[],[88,89],"巴西半干旱区 覆盖作物 固氮","灌溉果园 豆科覆盖作物 氮平衡","巴西半干旱区覆盖作物固氮-4873",0,"10.3389\u002Ffsufs.2026.1923393",{"doi":92,"openalex_id":94,"authors":95,"venue":10,"cited_by_count":91,"oa_url":6,"card":124,"direction":128,"ingested_from":130},"W7221637808",[96,99,101,103,106,108,111,114,116,119,121],{"name":97,"orcid":98},"Renata Janaína Carvalho de Souza","https:\u002F\u002Forcid.org\u002F0000-0002-0901-456X",{"name":100,"orcid":9},"Vanderlise Giongo",{"name":102,"orcid":9},"Plínio Barbosa de Camargo",{"name":104,"orcid":105},"Jéssica Rafaella de Sousa Oliveira","https:\u002F\u002Forcid.org\u002F0000-0002-1882-2630",{"name":107,"orcid":9},"Edilândia Farias DANTAS",{"name":109,"orcid":110},"Juscélia da Silva Ferreira","https:\u002F\u002Forcid.org\u002F0000-0003-3932-3264",{"name":112,"orcid":113},"Cybelle Souza de Oliveira","https:\u002F\u002Forcid.org\u002F0000-0002-1060-3740",{"name":115,"orcid":9},"Jessyca Adriana Gomes Florêncio da Silva",{"name":117,"orcid":118},"Paulo Ivan Fernandes‐Júnior","https:\u002F\u002Forcid.org\u002F0000-0002-6390-3720",{"name":120,"orcid":9},"Everardo Valadares de Sá Barretto Sampaio",{"name":122,"orcid":123},"Ana Dolores Santiago de Freitas","https:\u002F\u002Forcid.org\u002F0000-0001-5808-097X",{"tldr":125,"method":126,"finding":127,"direction":128,"opportunity":129},"在巴西半干旱灌溉果园测试覆盖作物，发现其固氮量可抵消果实氮输出。","两种豆科比例不同的覆盖作物混播与自然杂草对比，测定生物量和固氮量。","覆盖作物固氮56-106 kg\u002Fha\u002F年，与果实氮输出相当，高豆科比例效果更佳。","农业绿色发展与碳","可研究覆盖作物固氮与温室气体减排的协同效应，并开展长期经济可行性评估。","openalex","2026-10-14T23:30:07.161110Z",{"total":54,"page":22,"page_size":54,"items":133},[134,209,253,322,386,460],{"id":135,"title":136,"url":137,"summary":138,"summary_zh":139,"content":9,"source_name":10,"source_url":137,"published_at":140,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":141,"score_detail":142,"sources":147,"tags":149,"primary_topic":155,"secondary_topics":156,"classification":161,"search_phrases":181,"slug":184,"view_count":91,"doi":185,"paper":186,"created_at":208},5547,"Apple quality and soil biological diversity in long-term organic and IPM apple orchards","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1943487","Introduction While several studies have compared fruit quality in organic and conventional apple production, integrated assessments of fruit quality and soil biological diversity remain limited. Majority of previous studies have been based on relatively short-term experimental comparisons, although responses of soil biota and soil properties often require many years of consistent management to become fully expressed. Methods This study compared yield, fruit quality, and soil biological diversity in long-term organic (ORG) apple orchard and long-term integrated pest management (IPM) orchard under Nordic conditions. The study was conducted in 2022–2024 at the Polli Horticultural Research Centre (Estonia) using the cultivars “Katre”, “Krista,” and “Alesja”. Apple, yield, fruit quality attributes (soluble solids and titratable acids content and their ratio, ascorbic acid content and total polyphenols, total anthocyanins, fruit firmness, fruit colour, fruit mineral elements content), soil chemical parameters, earthworm and springtail communities were analysed. Results and Discussion Higher total and fresh-market yields were observed in the IPM orchard in two of the three cultivars, whereas the proportion of fresh-market fruit did not differ consistently between the two orchards. When averaged across cultivars, apples from ORG orchard exhibited more intense peel coloration. Differences in taste-related traits and antioxidant composition between cultivation systems were cultivar- and year-dependent rather than consistently associated with cultivation system. Total polyphenol content was consistently higher under ORG management only in “Katre,” while “Alesja” exhibited the highest total polyphenol and anthocyanin contents irrespective of cultivation system, highlighting the dominant role of genotype. Soil in the ORG orchard had higher pH and greater phosphorus and calcium contents, supporting a higher proportion of anecic earthworms, particularly Aporrectodea longa . Total earthworm abundance was higher in the IPM orchard, springtail abundance did not differ significantly between systems. These results suggest that the conditions in the long-term ORG were more favourable for ecologically important earthworm groups without consistently affecting internal fruit quality compared to IPM orchard.","引言 尽管已有若干研究比较了有机与常规苹果生产中的果实品质，但结合果实品质与土壤生物多样性的综合评价仍较为有限。以往研究大多基于相对短期的试验比较，而土壤生物区系和土壤性质的响应往往需要多年持续一致的管理才能充分显现。方法 本研究在北欧条件下比较了长期有机（ORG）苹果园与长期综合病虫害管理（IPM）苹果园的产量、果实品质及土壤生物多样性。研究于2022—2024年在爱沙尼亚Polli园艺研究中心开展，供试品种为“Katre”“Krista”和“Alesja”。分析了苹果产量、果实品质指标（可溶性固形物与可滴定酸含量及其比值、抗坏血酸含量、总多酚、总花青素、果实硬度、果实色泽、果实矿质元素含量）、土壤化学参数、蚯蚓和跳虫群落。结果与讨论 在3个品种中的2个品种上，IPM果园的总产量和鲜食市场产量较高，而鲜食市场果实比例在两种果园间并无一致差异。按品种平均，ORG果园苹果果皮色泽更深。栽培系统间口感相关性状和抗氧化成分的差异因品种和年份而异，而非与栽培系统稳定相关。总多酚含量仅在“Katre”中于ORG管理下持续较高，而“Alesja”无论栽培系统如何均表现出最高的总多酚和花青素含量，凸显了基因型的主导作用。ORG果园土壤具有较高的pH以及较高的磷和钙含量，支持了较高比例的内栖型蚯蚓，尤其是长穴居蚯蚓（Aporrectodea longa）。IPM果园蚯蚓总丰度较高，跳虫丰度在系统间无显著差异。这些结果表明，与IPM果园相比，长期ORG的条件更有利于生态上重要的蚯蚓类群，但并未对果实内部品质产生一致影响。","2026-10-21T00:00:00Z",66,{"impact":143,"substance":144,"depth":145,"authority":20,"freshness":21,"relevant":22,"comment":146},8,20,16,"北欧长期定位试验对比有机与IPM苹果园的果实品质与土壤生物多样性，结论有新意但属区域尺度研究，公共影响有限。",[148],{"name":10,"url":137},[150,151,152,153,154],"长期定位试验","有机果园","土壤生物多样性","苹果品质","IPM",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[157],{"code":61,"slug":65,"name":158,"path":159,"parent_code":160},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":40,"locked":14,"version":41,"method":42,"evidence":162},{"candidates":163,"agricultural_evidence":46},[164,170,175],{"code":33,"score":19,"supported":46,"title":165,"abstract":167,"tags":169},[166],"apple",[168,50,166],"苹果",[],{"code":61,"score":171,"supported":46,"title":172,"abstract":173,"tags":174},14,[65],[64,65],[],{"code":176,"score":76,"supported":46,"title":177,"abstract":178,"tags":180},"H6",[],[179],"生物多样性",[],[182,183],"爱沙尼亚 Polli 苹果 有机 IPM","苹果园 蚯蚓 跳虫 土壤","爱沙尼亚Polli苹果有机IPM-5547","10.3389\u002Ffsufs.2026.1943487",{"doi":185,"openalex_id":187,"authors":188,"venue":10,"cited_by_count":91,"oa_url":137,"card":203,"direction":128,"ingested_from":130},"W7223104118",[189,192,195,197,200],{"name":190,"orcid":191},"Ulvi Moor","https:\u002F\u002Forcid.org\u002F0000-0002-8808-8494",{"name":193,"orcid":194},"Annely Kuu","https:\u002F\u002Forcid.org\u002F0000-0002-0335-6243",{"name":196,"orcid":9},"K. Kahu",{"name":198,"orcid":199},"P. Põldma","https:\u002F\u002Forcid.org\u002F0000-0002-7906-823X",{"name":201,"orcid":202},"Reelika Rätsep","https:\u002F\u002Forcid.org\u002F0000-0002-8673-9978",{"tldr":204,"method":205,"finding":206,"direction":128,"opportunity":207},"比较长期有机与IPM苹果园的果实品质和土壤生物多样性。","在爱沙尼亚长期试验园测定三个品种的产量、品质及蚯蚓和跳虫群落。","有机园果皮色泽更深、土壤pH和磷钙更高，但果实内在品质差异多随品种和年份变化。","可结合长期定位试验，量化土壤动物群落与果实品质的关联机制，并拓展多区域验证。","2026-10-22T11:20:15.557635Z",{"id":210,"title":211,"url":212,"summary":213,"summary_zh":9,"content":214,"source_name":215,"source_url":9,"published_at":216,"category":217,"cover_url":9,"hotness":13,"is_selected":14,"score":218,"score_detail":219,"sources":221,"tags":223,"primary_topic":229,"secondary_topics":230,"classification":231,"search_phrases":248,"slug":251,"view_count":91,"doi":9,"paper":9,"created_at":252},5516,"上海农科院葡萄团队赴银川参加第47届世界葡萄与葡萄酒大会","https:\u002F\u002Fwww.saas.sh.cn\u002Fhzjl\u002Fgjhz\u002Fcontent_57128","10月12日至16日第47届世界葡萄与葡萄酒大会在银川举办，智慧农业研究中心葡萄团队负责人奚晓军研究员作专题报告，阐明疏穗与环剥处理对果实糖、花青素及脱落酸积累的源库调控机制。团队还观摩酿酒葡萄AI综合作业机器人成果展示，与研发单位围绕葡萄智慧装备与果园智能化管理深入交流。","2026年10月12-16日，第47届世界葡萄与葡萄酒大会在银川举办，智慧农业研究中心葡萄团队负责人奚晓军研究员一行赴会交流。团队围绕“提升葡萄种植生产韧性与可持续发展能力”主题，向全球同行展示最新科研成果。\n\n会上，奚晓军作“Changes in sugar, anthocyanin and ABA accumulation in response to cluster thinning and girdling in ‘Jumeigui’grape”专题报告。报告围绕葡萄疏穗与环剥处理开展研究，阐明源库比对果实糖、花青素及脱落酸积累的调控机制，为葡萄优质栽培技术提供理论支撑，报告内容引发国内外园艺专家广泛研讨。参会期间，团队前往银川国际会展中心观摩酿酒葡萄 AI 综合作业机器人成果展示，详细了解该装备在葡萄园智能作业方面的技术特点与应用前景，并与研发单位围绕葡萄智慧装备研发、果园智能化管理等方向开展深入交流。\n\n本次参会是葡萄团队持续推进科研国际化、对标国际前沿开展研究的重要实践。","上海市农业科学院 2026-10-19","2026-10-19T00:00:00Z","报道",65,{"impact":145,"substance":19,"depth":20,"authority":20,"freshness":54,"relevant":22,"comment":220},"国际学术会议交流并涉及葡萄AI作业机器人观摩，有实质科研内容与行业参考价值，但属团队参会动态，影响面有限。",[222],{"name":215,"url":212},[224,225,226,227,228],"智慧农业","智能农机","葡萄","栽培技术","国际交流",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":232},{"candidates":233,"agricultural_evidence":46},[234,238,243],{"code":33,"score":17,"supported":46,"title":235,"abstract":236,"tags":237},[226],[226],[226],{"code":239,"score":69,"supported":46,"title":240,"abstract":241,"tags":242},"I1",[],[224],[224],{"code":244,"score":22,"supported":14,"title":245,"abstract":246,"tags":247},"F5",[],[],[225],[249,250],"上海农科院 葡萄 银川","世界葡萄与葡萄酒大会 奚晓军","上海农科院葡萄银川-5516","2026-10-22T00:07:04.061911Z",{"id":254,"title":255,"url":256,"summary":257,"summary_zh":258,"content":9,"source_name":10,"source_url":256,"published_at":259,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":260,"score_detail":261,"sources":264,"tags":266,"primary_topic":272,"secondary_topics":273,"classification":274,"search_phrases":291,"slug":294,"view_count":91,"doi":295,"paper":296,"created_at":321},5468,"Farm-level technical efficiency in temperate horticulture: evidence from apple, pear, and cherry growers","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1928386","Improving resource-use efficiency is fundamental to enhancing agricultural productivity and promoting sustainable horticultural development, particularly in regions where opportunities for expanding cultivated land and increasing input use are limited. This study evaluates the technical efficiency of apple, pear, and cherry growers in the Kashmir Valley and examines the socioeconomic, institutional, and regional factors associated with farm-level technical efficiency. Primary data were collected from 418 horticultural households during 2023 using a multi-stage sampling approach. Technical efficiency was first estimated separately for apple, pear, and cherry growers using an input-oriented Data Envelopment Analysis (DEA) framework under both Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) assumptions. Scale efficiency was subsequently estimated, while a pooled DEA model was employed to generate farm-level technical efficiency scores for the second-stage analysis. The determinants of technical efficiency were examined using Tobit regression, supported by a fractional logit model as a robustness check, and regional disparities were assessed using Kruskal–Wallis and Mann–Whitney non-parametric tests. The results indicate that apple growers achieved the highest overall technical efficiency, followed by pear and cherry growers. The VRS estimates reveal substantially higher levels of pure technical efficiency, whereas the scale efficiency analysis suggests that a considerable proportion of technical inefficiency arises from farms operating below their optimal production scale. The second-stage analysis identifies family size, education, irrigation facilities, access to credit, and cold storage infrastructure as significant positive factors associated with farm-level technical efficiency, while significant regional disparities are observed across the Kashmir Valley. The robustness analysis confirms the consistency of the estimated relationships. These findings highlight that improving horticultural performance requires not only efficient farm-level resource management but also stronger institutional support, investments in irrigation and post-harvest infrastructure, improved access to rural credit, and region-specific development strategies. The study contributes to the literature by integrating crop-specific and pooled efficiency analyses with socioeconomic and regional assessments, providing policy-relevant evidence for promoting resource-efficient and sustainable horticultural production.","提高资源利用效率是提升农业生产力、促进园艺产业可持续发展的基础，在耕地扩张和投入增加机会有限的地区尤为如此。本研究评估了克什米尔谷地苹果、梨和樱桃种植者的技术效率，并考察了与农场层面技术效率相关的社会经济、制度和区域因素。研究采用多阶段抽样方法，于2023年从418个园艺农户收集了一手数据。首先，在规模报酬不变（CRS）和规模报酬可变（VRS）两种假设下，运用投入导向的数据包络分析（DEA）框架分别估算苹果、梨和樱桃种植者的技术效率。随后估算规模效率，并采用混合DEA模型生成农场层面技术效率得分用于第二阶段分析。技术效率的决定因素通过Tobit回归进行检验，并以分数logit模型作为稳健性检验加以支持，区域差异则采用Kruskal–Wallis和Mann–Whitney非参数检验进行评估。结果表明，苹果种植者总体技术效率最高，梨和樱桃种植者次之。VRS估计显示纯技术效率水平显著更高，而规模效率分析表明，相当比例的技术无效率源于农场经营规模低于最优生产规模。第二阶段分析识别出家庭规模、教育、灌溉设施、信贷获取和冷库基础设施是与农场层面技术效率显著正相关的因素，同时在克什米尔谷地观察到显著的区域差异。稳健性分析证实了所估计关系的一致性。这些发现表明，提升园艺产业绩效不仅需要有效的农场层面资源管理，还需要更强的制度支持、对灌溉和采后基础设施的投资、改善农村信贷获取以及因地制宜的发展策略。本研究通过将作物特定效率分析与混合效率分析同社会经济和区域评估相结合，为促进资源利用效率提升提供了具有政策相关性的证据。","2026-10-20T00:00:00Z",73,{"impact":17,"substance":18,"depth":262,"authority":20,"freshness":21,"relevant":22,"comment":263},18,"基于418户果农一手数据，用DEA与Tobit回归分析技术效率，方法规范、结论有政策参考价值，但属区域性研究，影响范围有限。",[265],{"name":10,"url":256},[267,268,269,270,271],"可持续农业","园艺产业","苹果种植","技术效率","数据包络分析",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":275},{"candidates":276,"agricultural_evidence":46},[277,281,286],{"code":33,"score":171,"supported":46,"title":278,"abstract":279,"tags":280},[166],[168,166],[],{"code":82,"score":54,"supported":46,"title":282,"abstract":283,"tags":285},[],[85,284],"irrigation",[],{"code":287,"score":22,"supported":14,"title":288,"abstract":289,"tags":290},"H8",[],[],[267],[292,293],"数据包络分析 可持续农业 园艺产业 技术效率","数据包络分析 可持续农业","数据包络分析可持续农业园艺产业技术效率-5468","10.3389\u002Ffsufs.2026.1928386",{"doi":295,"openalex_id":297,"authors":298,"venue":10,"cited_by_count":91,"oa_url":256,"card":315,"direction":319,"ingested_from":130},"W7223025732",[299,301,304,307,310,313],{"name":300,"orcid":9},"Seerat Sajjad",{"name":302,"orcid":303},"Khursheed Hussain Dar","https:\u002F\u002Forcid.org\u002F0000-0002-3925-0758",{"name":305,"orcid":306},"Anam Ul Haq Ganie","https:\u002F\u002Forcid.org\u002F0000-0002-4404-5011",{"name":308,"orcid":309},"Ghadda Mohamed Awad Yousif","https:\u002F\u002Forcid.org\u002F0000-0003-4183-2957",{"name":311,"orcid":312},"Mohd Salim","https:\u002F\u002Forcid.org\u002F0000-0003-0162-8433",{"name":314,"orcid":9},"Mahdy S. Othman",{"tldr":316,"method":317,"finding":318,"direction":319,"opportunity":320},"评估克什米尔谷地苹果、梨、樱桃种植户的技术效率及其影响因素。","418户调查数据，DEA测效率，Tobit回归与分数logit分析影响因素。","苹果效率最高，规模效率不足是主因；灌溉、信贷、冷库等显著提升效率。","数字乡村与农业信息化","可结合遥感与物联网数据构建果园投入产出实时效率监测，弥补自报数据局限。","2026-10-21T23:30:07.145395Z",{"id":323,"title":324,"url":325,"summary":326,"summary_zh":327,"content":9,"source_name":10,"source_url":325,"published_at":259,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":328,"score_detail":329,"sources":332,"tags":334,"primary_topic":339,"secondary_topics":340,"classification":341,"search_phrases":366,"slug":369,"view_count":91,"doi":370,"paper":371,"created_at":385},5464,"From symbolic to substantive: How subsidy design shapes cooperative roles and high-quality rural industrial development?","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1949418","Introduction Government subsidies do not necessarily produce high-quality rural industrial development (HQRID), as different subsidy designs elicit different behavioral responses from cooperatives and smallholders. This study examines how subsidy design shapes the strategies of local governments, cooperatives, and farmers. Methods Drawing on the Dingzhuang Grape Cooperative in Jurong, China, this study builds a tripartite evolutionary game model to examine how creation support and function support shape the strategies of the local government, cooperative, and farmer. Results The results distinguish two contrasting pathways. Creation support tends to induce symbolic compliance, in which cooperatives adopt formal structures without providing training, quality control, or market access, leading the system toward a low-quality equilibrium. Function support aligns cooperative incentives with verifiable performance and encourages substantive services that connect smallholders to higher-value markets. Three conclusions follow. First, the transition to substantive service requires function support that gives cooperatives sufficiently strong incentives. Second, substantive services lower the quality-premium share that farmers require, strengthening the economic case for high-quality production. Third, function support is bounded by fiscal capacity, and excessive performance-linked payments can reverse the transition. Discussion Policy should therefore tie support to measurable gains in farmer income and product quality. The study contributes to induced institutional change theory by specifying that external inducements produce substantive institutions only when rewards are tied to verifiable performance rather than to registration, a boundary condition that explains why supported organizations may remain hollow.","引言 政府补贴并不必然带来高质量的农村产业发展（HQRID），因为不同的补贴设计会引发合作社与小农户不同的行为反应。本研究考察补贴设计如何塑造地方政府、合作社与农户的策略。方法 本研究以中国句容市丁庄葡萄合作社为案例，构建三方演化博弈模型，考察创建支持与功能支持如何塑造地方政府、合作社与农户的策略。结果 结果区分出两条截然不同的路径。创建支持倾向于诱发象征性遵从，即合作社采取正式结构却不提供培训、质量控制或市场准入，使系统趋向低质量均衡。功能支持使合作社激励与可验证绩效相一致，并鼓励将小农户连接至更高价值市场的实质性服务。由此得出三点结论。第一，向实质性服务的转变需要功能支持，使合作社获得足够强的激励。第二，实质性服务降低了农户所需的质量溢价份额，强化了高质量生产的经济合理性。第三，功能支持受财政能力约束，过度的绩效挂钩支付可能逆转这一转变。讨论 因此，政策应将支持与农户收入和产品质量的可测量改善挂钩。本研究对诱致性制度变迁理论作出贡献，明确指出外部诱因只有在奖励与可验证绩效而非与登记注册挂钩时才会产生实质性制度，这一边界条件解释了受支持组织为何可能保持空壳化。",77,{"impact":145,"substance":330,"depth":262,"authority":20,"freshness":143,"relevant":22,"comment":331},22,"以句容葡萄合作社为案例的三方演化博弈研究，区分创建型与功能型补贴对合作社行为的影响，结论对补贴政策设计有实质参考价值。",[333],{"name":10,"url":325},[335,336,337,338],"乡村产业","合作社","小农户","补贴设计",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":342},{"candidates":343,"agricultural_evidence":46},[344,349,355,361],{"code":33,"score":54,"supported":46,"title":345,"abstract":346,"tags":348},[],[226,347],"grape",[],{"code":350,"score":351,"supported":46,"title":352,"abstract":353,"tags":354},"G2",5,[],[337],[336,337],{"code":356,"score":76,"supported":46,"title":357,"abstract":358,"tags":360},"G6",[],[359],"农户收入",[],{"code":362,"score":22,"supported":14,"title":363,"abstract":364,"tags":365},"G4",[],[],[335],[367,368],"句容 丁庄 葡萄合作社","补贴设计 合作社 小农户","句容丁庄葡萄合作社-5464","10.3389\u002Ffsufs.2026.1949418",{"doi":370,"openalex_id":372,"authors":373,"venue":10,"cited_by_count":91,"oa_url":325,"card":380,"direction":319,"ingested_from":130},"W7222997429",[374,376,378],{"name":375,"orcid":9},"Man Huang",{"name":377,"orcid":9},"蒋礼文",{"name":379,"orcid":9},"Jincai Zhuang",{"tldr":381,"method":382,"finding":383,"direction":319,"opportunity":384},"用三方演化博弈分析补贴设计如何影响合作社行为与农村产业高质量发展。","构建政府、合作社、农户三方演化博弈模型，基于句容丁庄葡萄合作社案例。","创建型补贴诱发象征性合规，功能型补贴促成实质性服务并降低农户质量溢价要求。","可将补贴绩效挂钩机制与可验证数据采集结合，研究数字化考核如何抑制合作社空心化。","2026-10-21T23:30:06.732822Z",{"id":387,"title":388,"url":389,"summary":390,"summary_zh":391,"content":9,"source_name":392,"source_url":389,"published_at":393,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":394,"score_detail":395,"sources":397,"tags":399,"primary_topic":404,"secondary_topics":405,"classification":406,"search_phrases":432,"slug":435,"view_count":91,"doi":436,"paper":437,"created_at":459},5401,"A HIERARCHICAL DISTRIBUTED EDGE AI FRAMEWORK FOR REAL-TIME APPLE LEAF DISEASE CLASSIFICATION","https:\u002F\u002Fdoi.org\u002F10.22190\u002Ffuacr260506002g","The application of artificial intelligence (AI) in agriculture has transformed crop management, particularly in the detection of plant diseases. Apple trees, a key agricultural commodity, are vulnerable to various diseases, which can severely impact crop yields. Traditional disease detection methods, often reliant on manual inspections, are time-consuming and prone to error. In response, this study proposes a novel two-stage edge AI framework for apple leaf disease classification that integrates RGB imagery with distributed edge computing. The first stage performs binary classification to distinguish between healthy and diseased leaves, achieving an F1 score of 95.50%. This optimization is achieved by utilizing lightweight models on edge devices, thereby enhancing computational efficiency. The second stage employs a consensus-based multiclass classification approach, achieving a 96.44% F1 score in identifying specific diseases. This dual-stage system, supported by an edge AI architecture, ensures real-time disease detection while minimizing resource consumption and enhancing scalability in large-scale agricultural environments. The full system achieved a 95.50% accuracy and F1 score on the special dataset. The results demonstrate the system’s efficacy in controlled laboratory conditions, offering a promising solution for precise, real-time agricultural monitoring. This study underscores the potential of distributed edge AI systems for scalable and efficient disease detection in precision agriculture.","人工智能（AI）在农业中的应用已深刻改变了作物管理方式，尤其是在植物病害检测方面。苹果树作为重要的农业经济作物，易受多种病害侵袭，严重影响作物产量。传统的病害检测方法通常依赖人工检查，耗时且易出错。为此，本研究提出了一种新颖的两阶段边缘AI框架，用于苹果叶片病害分类，该框架将RGB图像与分布式边缘计算相结合。第一阶段执行二分类以区分健康叶片与患病叶片，F1分数达到95.50%。该优化通过在边缘设备上采用轻量级模型实现，从而提升了计算效率。第二阶段采用基于共识的多类分类方法，在识别具体病害方面F1分数达到96.44%。该双阶段系统在边缘AI架构的支持下，实现了实时病害检测，同时最大限度地降低了资源消耗，并增强了在大规模农业环境中的可扩展性。完整系统在专用数据集上达到了95.50%的准确率和F1分数。结果表明，该系统在受控实验室条件下具有有效性，为精准、实时的农业监测提供了一种有前景的解决方案。本研究凸显了分布式边缘AI系统在精准农业中实现可扩展且高效病害检测的潜力。","Facta Universitatis Series Automatic Control and Robotics","2026-10-18T00:00:00Z",76,{"impact":262,"substance":18,"depth":19,"authority":17,"freshness":143,"relevant":22,"comment":396},"该研究提出两级边缘AI框架，在苹果叶片病害识别上取得95%以上F1值，方法新颖、数据可靠，对精准农业实时监测有参考价值，但尚处实验室验证阶段，产业影响有限。",[398],{"name":392,"url":389},[224,400,401,402,403],"农业人工智能","边缘计算","作物病害识别","苹果病害",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":407},{"candidates":408,"agricultural_evidence":46},[409,413,420,426],{"code":33,"score":262,"supported":46,"title":410,"abstract":411,"tags":412},[166],[35,168,166],[403],{"code":239,"score":414,"supported":46,"title":415,"abstract":416,"tags":419},7,[],[417,418],"精准农业","precision agriculture",[224],{"code":421,"score":414,"supported":46,"title":422,"abstract":423,"tags":425},"I5",[],[401,424],"edge computing",[401],{"code":427,"score":351,"supported":46,"title":428,"abstract":429,"tags":431},"I2",[],[430],"artificial intelligence",[402,400],[433,434],"苹果叶片病害 边缘AI","分布式边缘计算 病害分类","苹果叶片病害边缘AI-5401","10.22190\u002Ffuacr260506002g",{"doi":436,"openalex_id":438,"authors":439,"venue":392,"cited_by_count":91,"oa_url":389,"card":452,"direction":458,"ingested_from":130},"W7222964752",[440,443,446,449],{"name":441,"orcid":442},"Milan Grujev","https:\u002F\u002Forcid.org\u002F0009-0002-3211-6844",{"name":444,"orcid":445},"Dragan H. Stojanovic","https:\u002F\u002Forcid.org\u002F0000-0003-4893-3814",{"name":447,"orcid":448},"Miloš Ilić","https:\u002F\u002Forcid.org\u002F0000-0002-9696-2874",{"name":450,"orcid":451},"Aleksandar Milosavljević","https:\u002F\u002Forcid.org\u002F0000-0003-3057-7727",{"tldr":453,"method":454,"finding":455,"direction":456,"opportunity":457},"提出两级边缘AI框架，用RGB图像实时分类苹果叶片病害。","分布式边缘计算+轻量模型，先二分类再共识多分类。","两级系统准确率与F1均达95.50%，多分类F1为96.44%。","智慧农业 \u002F 农业物联网","仅在受控实验室验证，可延伸至田间复杂光照与多作物泛化及边缘能耗优化。","农业人工智能与决策模型","2026-10-20T23:30:33.830748Z",{"id":461,"title":462,"url":463,"summary":464,"summary_zh":9,"content":9,"source_name":465,"source_url":9,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":466,"sources":468,"tags":470,"primary_topic":475,"secondary_topics":476,"classification":477,"search_phrases":488,"slug":491,"view_count":91,"doi":9,"paper":492,"created_at":500},5297,"高志永团队《基于特征优选与优化算法的干热河谷区柑橘蒸腾模拟》","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087305323_122014422","《智慧农业(中英文)》2026年第8卷第4期刊载云南农业大学吴明清、高志永等团队论文,以10年生柑橘树为研究对象收集2020—2022年树干液流与环境因子数据;针对干热河谷加快建设智慧灌区背景下传统机理模型参数需求高、对部分参数高度敏感且误差来源复杂等难题,提出基于特征优选与优化算法的蒸腾模拟方法,可为优化灌区水分调控与配水策略提供决策支撑。","智慧农业(中英文)(2026,8(4))",{"impact":145,"substance":18,"depth":19,"authority":20,"freshness":351,"relevant":22,"comment":467},"核心期刊论文，方法有创新且数据规模扎实，对干热河谷智慧灌区水分调控有决策参考价值，但属细分领域研究，时效性一般。",[469],{"name":465,"url":463},[224,471,472,473,474],"云南","柑橘","智慧灌区","蒸腾模拟",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":478},{"candidates":479,"agricultural_evidence":46},[480,484],{"code":33,"score":17,"supported":46,"title":481,"abstract":482,"tags":483},[472],[472],[472],{"code":239,"score":69,"supported":46,"title":485,"abstract":486,"tags":487},[],[224],[224],[489,490],"云南农业大学 柑橘 蒸腾模拟","干热河谷 智慧灌区","云南农业大学柑橘蒸腾模拟-5297",{"doi":9,"openalex_id":9,"authors":493,"venue":9,"cited_by_count":91,"oa_url":9,"card":494,"direction":456,"ingested_from":499},[],{"tldr":495,"method":496,"finding":497,"direction":456,"opportunity":498},"用特征优选与优化算法模拟干热河谷区柑橘蒸腾。","基于2020—2022年树干液流与环境因子数据构建特征优选与优化算法模型。","该方法可降低机理模型参数依赖与敏感性，提升蒸腾模拟精度。","可探索将蒸腾模拟嵌入智慧灌区实时配水决策，研究多树种迁移与边缘部署。","agent","2026-10-19T00:07:48.135945Z"]