[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3882":3,"related-3882":113},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":87,"slug":90,"view_count":60,"doi":91,"paper":92,"created_at":112},3882,"Penerapan Climate Smart Agriculture melalui Penguatan Budidaya dan Hilirisasi Hasil Pertanian di Desa Jeruk Kabupaten Boyolali","https:\u002F\u002Fdoi.org\u002F10.61132\u002Faspirasi.v4i5.2992","Jeruk Village in Selo District, Boyolali Regency, has considerable horticultural potential but faces climate variability, postharvest losses, and commodity price fluctuations. The Climate Smart Agriculture program was implemented with Tani Mulyo I Farmers Group to strengthen adaptive cultivation, increase agricultural product value, and develop group capacity. This article aims to analyze program implementation, reported achievements, and beneficiary satisfaction using a descriptive case-study approach. Data were obtained from the 2026 Climate Smart Agriculture program report, the 2025 Community Satisfaction Index report, activity documentation, and relevant scientific literature. Program activities consisted of a smart greenhouse supported by a 5,000-watt solar power system, adaptive planting management, product processing using a vacuum fryer with a capacity of 35 kilograms per cycle, business-management training, and digital marketing. Program documents reported additional income from processed products of IDR 400,000-1,000,000 per month, utilization of approximately three tons of livestock waste per year, estimated emission reductions of 3.78 tons of CO2 per year, and one new employment opportunity. The implementation aspect obtained the highest score of 94.94, while the impact aspect received the lowest score of 94.26, although all aspects remained in the very good category. These findings indicate that integrating adaptive cultivation, renewable energy, product value addition, and group capacity development has the potential to strengthen the resilience of horticultural farming. Nevertheless, the satisfaction index reflects beneficiary perceptions and cannot be interpreted as direct evidence of changes in productivity, income, or environmental impact. Further evaluation requires verified baseline data, broader respondent coverage, and longitudinal measurement.","位于Boyolali县Selo区的Jeruk村具有相当大的园艺潜力，但面临气候变异性、采后损失和商品价格波动等问题。气候智慧型农业项目与Tani Mulyo I农民小组共同实施，旨在加强适应性栽培、提升农产品附加值并发展小组能力。本文旨在采用描述性案例研究方法，分析项目实施情况、所报告成果及受益者满意度。数据来源于2026年气候智慧型农业项目报告、2025年社区满意度指数报告、活动记录文件及相关科学文献。项目活动包括一座配备5000瓦太阳能发电系统的智能温室、适应性种植管理、使用每批次处理能力为35公斤的真空油炸机进行产品加工、企业管理培训以及数字营销。项目文件报告称，加工产品每月额外收入为40万至100万印尼盾，每年利用约三吨牲畜废弃物，估计每年减少3.78吨二氧化碳排放，并创造了一个新的就业机会。实施方面得分最高，为94.94分，而影响方面得分最低，为94.26分，但所有方面均处于“非常好”类别。这些发现表明，将适应性栽培、可再生能源、产品增值和小组能力发展相结合，具有增强园艺种植韧性的潜力。然而，满意度指数反映的是受益者的感知，不能解释为生产力、收入或环境影响发生变化的直接证据。进一步评估需要经过验证的基线数据、更广泛的受访者覆盖范围以及纵向测量。",null,"ASPIRASI Publikasi Hasil Pengabdian dan Kegiatan Masyarakat","2026-09-30T00:00:00Z","论文",10,false,55,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,18,15,6,1,"印尼村级气候智慧农业案例，含光伏大棚、真空油炸加工与量化成效数据，方法为描述性案例研究，对国内智慧农业与乡村产业有一定参考价值，但属地方性实践、信源为高校社区服务出版物，权威性与影响层级有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧大棚","农产品加工","气候智慧农业","光伏农业","数字营销",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":47},[44,52,58,65,71,77,82],{"code":45,"score":46,"supported":47,"title":48,"abstract":50,"tags":51},"I1",11,true,[49],"smart agriculture",[49],[],{"code":32,"score":17,"supported":47,"title":53,"abstract":54,"tags":57},[],[55,56],"温室","greenhouse",[29,26],{"code":59,"score":60,"supported":47,"title":61,"abstract":62,"tags":64},"C",3,[],[63],"livestock",[],{"code":66,"score":60,"supported":47,"title":67,"abstract":68,"tags":70},"H4",[],[69],"碳排放",[],{"code":72,"score":60,"supported":47,"title":73,"abstract":74,"tags":76},"I7",[],[75],"研究方法",[],{"code":78,"score":21,"supported":14,"title":79,"abstract":80,"tags":81},"E1",[],[],[27],{"code":83,"score":21,"supported":14,"title":84,"abstract":85,"tags":86},"H7",[],[],[28],[88,89],"Boyolali Jeruk 气候智慧农业","Tani Mulyo 农民小组 真空油炸","BoyolaliJeruk气候智慧农业-3882","10.61132\u002Faspirasi.v4i5.2992",{"doi":91,"openalex_id":93,"authors":94,"venue":10,"cited_by_count":103,"oa_url":6,"card":104,"direction":110,"ingested_from":111},"W7214922791",[95,97,99,101],{"name":96,"orcid":9},"Ardi Sugianto",{"name":98,"orcid":9},"Bintang Fajar Pamungkas",{"name":100,"orcid":9},"Ika Nur Halimah",{"name":102,"orcid":9},"Ayu Pratiwi Nurhidayati",0,{"tldr":105,"method":106,"finding":107,"direction":108,"opportunity":109},"分析印尼Jeruk村气候智慧农业项目的实施、成效与受益者满意度。","描述性案例研究，基于项目报告、满意度指数、活动文档和文献。","项目获高满意度，但满意度不能直接证明生产力、收入或环境影响的改变。","农业绿色发展与碳","可开展纵向基线评估，验证气候智慧农业对生产力、收入和减排的实际因果效应。","智慧农业 \u002F 农业物联网","openalex","2026-10-01T23:30:09.540174Z",{"total":20,"page":21,"page_size":20,"items":114},[115,195,250,329,381,433],{"id":116,"title":117,"url":118,"summary":119,"summary_zh":120,"content":9,"source_name":121,"source_url":118,"published_at":122,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":123,"score_detail":124,"sources":129,"tags":131,"primary_topic":137,"secondary_topics":138,"classification":145,"search_phrases":172,"slug":175,"view_count":21,"doi":176,"paper":177,"created_at":194},2928,"Biochar 2.0 in Climate-Smart Agriculture: A Critical Review of Designer Biochars, Soil Microbiome Responses, Nutrient-Use Efficiency and Greenhouse-Gas Mitigation","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fajsspn\u002F2026\u002Fv12i4764","Biochar has moved from a broadly promoted soil amendment to a material that is deliberately engineered for defined agronomic and climatic functions. This transition, described here as a shift towards designer biochars, raises questions that the earlier literature was not designed to answer: whether tailoring feedstock, pyrolysis conditions and post-synthesis modification produces reproducible gains in nutrient-use efficiency, whether the accompanying soil microbiome changes are functionally meaningful or largely descriptive, and whether greenhouse-gas benefits observed in short experiments persist under field management and withstand carbon-accounting scrutiny. This critical narrative review examines the evidence linking biochar properties to soil microbial responses, nutrient retention and transformation, and the mitigation of nitrous oxide, methane and carbon dioxide in agricultural soils. Literature was identified through structured searching of open scholarly indexes, agricultural and intergovernmental repositories, and citation tracking, with every retained source verified against an authoritative bibliographic record. The synthesis indicates that the strongest and most reproducible effects are pedoclimatic rather than material-specific: responses concentrate in acidic, coarse-textured, nutrient-depleted and tropical soils, whereas temperate fertile systems frequently show negligible agronomic gain. Microbiome studies consistently report compositional turnover with little change in alpha diversity, and the functional interpretation of these shifts rests heavily on marker-gene abundance rather than demonstrated process rates. Nitrous oxide suppression is well supported in aggregate but varies by a factor of five across syntheses, and recent field work shows that freshly applied high-rate biochar can increase emissions. Methane outcomes in flooded systems depend on water management and application history. Carbon permanence remains contested because the principal proxies used for crediting are informative about carbonisation rather than about in-soil residence under field weathering. Confidence is highest for liming, cation retention and short-term nitrogen conservation, and lowest for long-term net climate benefit at landscape scale. Priorities include multi-year factorial field trials that pair engineered materials with process-level measurement, standardised reporting of biochar properties, and accounting frameworks calibrated on weathered rather than freshly produced material.","生物炭已从一种被广泛推广的土壤改良剂，转变为一种为特定农艺和气候功能而刻意设计的材料。这一转变——本文将其描述为向“设计型生物炭”的转向——提出了早期文献未曾设计回答的问题：定制原料、热解条件和合成后修饰是否能在养分利用效率上产生可重复的增益；伴随而来的土壤微生物组变化在功能上是否有意义，还是主要停留在描述层面；以及在短期实验中观察到的温室气体效益能否在田间管理下持续存在，并经受住碳核算的审视。这篇批判性叙述综述考察了将生物炭性质与土壤微生物响应、养分保持与转化，以及农业土壤中氧化亚氮、甲烷和二氧化碳减排联系起来的证据。文献通过结构化检索开放学术索引、农业和政府间知识库以及引文追踪来识别，所有保留的来源均对照权威书目记录进行了核实。综合结果表明，最强且最可重复的效应是土壤气候性的，而非材料特异性的：响应集中于酸性、粗质地、养分贫瘠和热带土壤，而温带肥沃系统往往显示可忽略的农艺增益。微生物组研究一致报告组成上的更替而α多样性变化甚微，且对这些变化的功能解读在很大程度上依赖于标记基因丰度，而非已证实的过程速率。氧化亚氮抑制在总体上得到较好支持，但不同综合研究之间相差可达五倍，且近期田间工作表明，新施用的高用量生物炭可能增加排放。淹水系统中的甲烷结果取决于水分管理和施用历史。碳永久性仍存争议，因为用于信用核算的主要替代指标所反映的是碳化程度，而非田间风化条件下的土壤内驻留时间。置信度最高的是石灰效应、阳离子保持和短期氮素保全，最低的是景观尺度上的长期净气候效益。优先事项包括：将工程化材料与过程水平测量相结合的多年度析因田间试验、生物炭性质的标准化报告，以及基于风化而非","Asian Journal of Soil Science and Plant Nutrition","2026-09-18T00:00:00Z",80,{"impact":18,"substance":125,"depth":126,"authority":127,"freshness":17,"relevant":21,"comment":128},22,19,13,"系统评述设计型生物炭在土壤微生物、养分效率与温室气体减排上的证据强度与不确定性，学术增量扎实，对农业绿色低碳与土壤健康方向有参考价值。",[130],{"name":121,"url":118},[132,133,28,134,135,136],"生物炭","土壤健康","土壤微生物","温室气体减排","养分利用效率",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[139],{"code":140,"slug":141,"name":142,"path":143,"parent_code":144},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":146},{"candidates":147,"agricultural_evidence":47},[148,154,159,163,168],{"code":140,"score":149,"supported":47,"title":150,"abstract":151,"tags":153},17,[141],[152,141],"土壤",[133,134,132],{"code":32,"score":155,"supported":47,"title":156,"abstract":157,"tags":158},14,[56],[55,56],[],{"code":45,"score":17,"supported":47,"title":160,"abstract":161,"tags":162},[49],[],[],{"code":164,"score":21,"supported":14,"title":165,"abstract":166,"tags":167},"F3",[],[],[136],{"code":83,"score":21,"supported":14,"title":169,"abstract":170,"tags":171},[],[],[28],[173,174],"生物炭 温室气体 减排","养分利用效率 气候智慧农业 温室气体减排 土壤微生物","生物炭温室气体减排-2928","10.9734\u002Fajsspn\u002F2026\u002Fv12i4764",{"doi":176,"openalex_id":178,"authors":179,"venue":121,"cited_by_count":103,"oa_url":118,"card":189,"direction":110,"ingested_from":111},"W7213554252",[180,182,185,187],{"name":181,"orcid":9},"K. G. Rosin",{"name":183,"orcid":184},"Aditya V Machnoor","https:\u002F\u002Forcid.org\u002F0009-0001-5777-9188",{"name":186,"orcid":9},"Rakesh Kokatnoor",{"name":188,"orcid":9},"Arun S. Kalasad",{"tldr":190,"method":191,"finding":192,"direction":108,"opportunity":193},"综述设计型生物炭在气候智慧农业中的效果，指出其农艺与减排效益高度依赖土壤气候条件。","结构化文献检索与引文追踪，整合生物炭性质、土壤微生物、养分与温室气体证据。","最强效应集中于酸性贫瘠热带土壤，温带肥沃土壤增益有限；氧化亚氮抑制变异大，碳持久性存疑。","需多年多因子田间试验，结合过程速率测量与风化态碳核算，验证设计型生物炭的长期净气候效益。","2026-09-19T23:30:11.160909Z",{"id":196,"title":197,"url":198,"summary":199,"summary_zh":200,"content":9,"source_name":201,"source_url":198,"published_at":202,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":203,"score_detail":204,"sources":207,"tags":209,"primary_topic":214,"secondary_topics":215,"classification":216,"search_phrases":228,"slug":231,"view_count":232,"doi":233,"paper":234,"created_at":249},2504,"Computational fluid dynamics (CFD) simulations of deep winter greenhouses using passive solar heating and an underground heat storage system","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.atech.2026.102569","Deep Winter Greenhouses (DWGs) are energy-efficient structures designed to support year-round crop production in cold climates using passive solar heating and underground heat storage systems. However, excessive heat builds up in the summer and even during the winter months. Previous studies have applied photovoltaic (PV)-powered ventilation and computational fluid dynamics (CFD) modeling mainly to conventional greenhouse types. This study evaluated the feasibility and effectiveness of integrating a photovoltaic (PV)-powered ventilation system into DWGs using computational fluid dynamics (CFD) simulations and techno-economic analysis across three North Central US states: Minnesota, Wisconsin, and Illinois. CFD models were developed using a tetrahedral mesh with 12.1 million elements. They were validated using field measurements collected under both summer and winter conditions. The grid convergence index between the selected and finest meshes was below 5%.. Results showed that the PV-powered ventilation system reduced crop-zone summer temperatures by 4.9 to 5.8°C under extreme conditions, providing optimal conditions for a broader range of crops. In winter, daytime temperatures remained above 6.0°C even under extreme cold conditions, while a reduced-order transient analysis indicated that nighttime temperatures fell below freezing under extreme conditions, with ventilation lowering them by only 0.8 to 1.4°C. The System Advisor Model (SAM) indicated that the PV system met the annual energy demand of 845 kWh, with a payback period under six years. By coupling CFD-derived microclimate simulations with SAM-based techno-economic evaluation, this study provides quantitative information for designing self-sustaining ventilation systems for DWGs and other cold-climate greenhouses.","深冬温室（Deep Winter Greenhouses, DWGs）是一种节能型设施，旨在利用被动式太阳能加热和地下储热系统，在寒冷气候条件下支持全年作物生产。然而，夏季乃至冬季月份中会出现热量过度积聚的问题。以往研究主要将光伏（PV）驱动的通风系统和计算流体动力学（CFD）建模应用于常规温室类型。本研究通过计算流体动力学（CFD）模拟和技术经济分析，评估了在美国中北部三个州——明尼苏达州、威斯康星州和伊利诺伊州——将光伏（PV）驱动通风系统集成到深冬温室中的可行性和有效性。CFD模型采用包含1210万个单元的四面体网格构建，并利用夏季和冬季条件下采集的实地测量数据进行了验证。所选网格与最细网格之间的网格收敛指数低于5%。结果表明，在极端条件下，光伏驱动通风系统使作物区夏季温度降低了4.9至5.8°C，为更广泛的作物提供了适宜条件。冬季，即使在极端寒冷条件下，白天温度仍保持在6.0°C以上，而降阶瞬态分析表明，极端条件下夜间温度降至冰点以下，通风仅使其降低了0.8至1.4°C。系统顾问模型（SAM）表明，光伏系统满足了845 kWh的年能源需求，投资回收期低于六年。通过将CFD得出的微气候模拟与基于SAM的技术经济评估相结合，本研究为设计深冬温室及其他寒冷气候温室的自维持通风系统提供了定量信息。","Smart Agricultural Technology","2026-09-12T00:00:00Z",77,{"impact":19,"substance":125,"depth":18,"authority":127,"freshness":205,"relevant":21,"comment":206},9,"该研究将CFD微气候模拟与光伏通风系统技术经济分析结合，为寒冷地区深冬温室提供自持通风设计依据，方法新颖、数据扎实，对设施农业智能化有参考价值。",[208],{"name":201,"url":198},[210,211,29,212,213],"智慧农业","设施农业","计算流体力学","温室环境调控",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":217},{"candidates":218,"agricultural_evidence":47},[219,224],{"code":32,"score":220,"supported":47,"title":221,"abstract":222,"tags":223},7,[],[55,56],[29],{"code":45,"score":21,"supported":14,"title":225,"abstract":226,"tags":227},[],[],[210],[229,230],"温室环境调控 计算流体力学 光伏农业 智慧农业","温室环境调控 计算流体力学","温室环境调控计算流体力学光伏农业智慧农业-2504",2,"10.1016\u002Fj.atech.2026.102569",{"doi":233,"openalex_id":235,"authors":236,"venue":201,"cited_by_count":103,"oa_url":243,"card":244,"direction":110,"ingested_from":111},"W7212375345",[237,240],{"name":238,"orcid":239},"Yoonhong Yi","https:\u002F\u002Forcid.org\u002F0009-0007-8000-793X",{"name":241,"orcid":242},"Neslihan Akdeniz","https:\u002F\u002Forcid.org\u002F0000-0002-0215-0219","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS277237552600794X\u002Fpdf",{"tldr":245,"method":246,"finding":247,"direction":110,"opportunity":248},"用CFD模拟评估光伏通风系统在深冬温室中的降温效果与经济可行性。","CFD模拟（四面体网格1210万单元）结合技术经济分析（SAM模型）。","夏季作物区降温4.9-5.8°C，冬季夜间仍低于冰点，光伏系统投资回收期不到6年。","可研究光伏通风与地下储热协同优化，提升冬季夜间保温能力，拓展寒冷地区温室应用。","2026-09-15T23:30:03.583589Z",{"id":251,"title":252,"url":253,"summary":254,"summary_zh":255,"content":9,"source_name":256,"source_url":253,"published_at":257,"category":12,"cover_url":9,"hotness":258,"is_selected":14,"score":259,"score_detail":260,"sources":263,"tags":267,"primary_topic":272,"secondary_topics":273,"classification":274,"search_phrases":311,"slug":314,"view_count":103,"doi":315,"paper":316,"created_at":328},5566,"Accelerated Precision Cultivation of Coffea arabica in a Vertical Hybrid Greenhouse Unit Integrated with Non-Thermal Dielectric Barrier Discharge Plasma Seed Priming","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23509132","Indoor controlled environment agriculture (CEA) offers substantial opportunities to insulate perennial crops from climate volatility and optimize resource efficiency, yet high-density cultivation of coffee (Coffea arabica) remains constrained by long ontogenetic establishment periods, slow seed germination, and physical root-zone limitations. In this work, we propose, model, and optimize a four-stage Vertical Hybrid Coffee Cultivation Unit (VH-CCU™) coupled with an upstream non-thermal dielectric barrier discharge (DBD) plasma seed conditioning skid. Pre-sowing treatment of Coffea arabica var. Kholani seeds using a 50 W, 10 kHz atmospheric helium DBD reactor induced sub-micron coat etching and accelerated imbibition by 10% to 12%, advancing emergence by approximately two weeks and boosting the Seedling Vigor Index from 475.9 to 766.6 (+61.1%) at 120 s exposure without generating toxic chemical effluents. Downstream cultivation integrates rooftop agrivoltaics (Stage 1), tiered pyramid micro-droplet fertigation (Stage 2), an engineered shallow volcanic-coir substrate bed (Stage 3), and an enclosed aeroponic sub-chamber (“basement”) for automated, non-destructive root phenotyping via multispectral computer vision (Stage 4). A 46-run Box–Behnken response surface Design of Experiments (DoE) evaluated five design factors across biological, hydraulic, and energetic responses. Multi-objective numerical optimization identified an optimal operating regime (X∗ 1 = 214 s plasma exposure, X∗ 2 = 1.21 L\u002Fplant\u002Fday drip volume, X∗ 3 = 25.5 cm bed depth, X∗ 4 = 16.7 mol\u002Fm2\u002Fday DLI, and X∗ 5 = adaptive edge-vision mist control), which achieved an experimental water-use efficiency of 4.72 g dry biomass\u002FL, compressed time to first bearing from 36–48 months down to 17–18 months, and maintained active root health above 96%. Techno economic modeling reveals that while high specific energy requirements (∼241 kWh\u002Fkg of green coffee) preclude commodity grade scaling, targeted micro-lot specialty production (SCA score 88+) paired with rooftop solar offsets yields a simple payback of 5.1 years and a 10-year Net Present Value of +$169,400. This hybrid framework establishes an empirical basis for the rapid, resource-efficient indoor production of high-grade coffee.","室内受控环境农业（CEA）为多年生作物规避气候波动和优化资源效率提供了重要机遇，但咖啡（Coffea arabica）的高密度栽培仍受限于漫长的个体发育建成期、缓慢的种子萌发以及根区物理空间限制。本研究提出、建模并优化了一种四阶段垂直混合咖啡栽培单元（VH-CCU™），并耦合上游非热介质阻挡放电（DBD）等离子体种子调理装置。采用50 W、10 kHz大气氦气DBD反应器对Kholani品种咖啡种子进行播前处理，诱导了亚微米级种皮刻蚀，使吸胀速率提高10%至12%，出苗提前约两周，在120 s暴露条件下将幼苗活力指数从475.9提升至766.6（+61.1%），且不产生有毒化学废液。下游栽培集成了屋顶农业光伏（第1阶段）、分层金字塔微滴灌施肥（第2阶段）、工程化浅层火山椰糠基质床（第3阶段）以及封闭式气雾栽培地下子室（第4阶段），后者通过多光谱计算机视觉实现自动化非破坏性根系表型分析。通过46组Box–Behnken响应面试验设计（DoE），评估了五个设计因子在生物学、水力学和能量学响应方面的表现。多目标数值优化确定了最优运行方案（X∗1 = 214 s等离子体暴露时间，X∗2 = 1.21 L\u002F株\u002F天滴灌量，X∗3 = 25.5 cm基质床深度，X∗4 = 16.7 mol\u002Fm²\u002F天日光积分，X∗5 = 自适应边缘视觉喷雾控制），实现了4.72 g干生物量\u002FL的实验水分利用效率，将首次结果期从36–48个月缩短至17–18个月，并维持根系健康率在96%以上。技术经济建模表明，尽管高比能耗（约241 kWh\u002Fkg生咖啡）限制了商品级规模化生产，但面向微批次精品生产（SCA评分88+）并配合屋顶太阳能抵消，可实现5.1年简单投资回收期和+$169,400的10年净现值。该混合框架为高等级咖啡的快速、资源高效室内生产奠定了实证基础。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",25,71,{"impact":261,"substance":125,"depth":18,"authority":13,"freshness":205,"relevant":21,"comment":262},12,"方法新颖、数据扎实的室内咖啡栽培论文，但属细分作物与预印本平台，产业影响有限，可作主题聚合而非每日精选头条。",[264,265],{"name":256,"url":253},{"name":256,"url":266},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23527545",[210,268,269,270,271],"垂直农业","设施园艺","咖啡种植","等离子种子处理",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":275},{"candidates":276,"agricultural_evidence":47},[277,281,288,294,301,307],{"code":32,"score":13,"supported":47,"title":278,"abstract":279,"tags":280},[56],[],[268,269],{"code":282,"score":220,"supported":47,"title":283,"abstract":284,"tags":287},"B3",[],[285,286],"咖啡","coffee",[270],{"code":164,"score":20,"supported":47,"title":289,"abstract":290,"tags":293},[],[291,292],"施肥","fertigation",[],{"code":295,"score":20,"supported":47,"title":296,"abstract":297,"tags":300},"I2",[],[298,299],"计算机视觉","computer vision",[],{"code":302,"score":60,"supported":47,"title":303,"abstract":304,"tags":306},"I3",[],[305],"multispectral",[],{"code":45,"score":21,"supported":14,"title":308,"abstract":309,"tags":310},[],[],[210],[312,313],"Coffea arabica 垂直温室 等离子种子处理","VH-CCU 咖啡 室内栽培","Coffeaarabica垂直温室等离子种子处理-5566","10.5281\u002Fzenodo.23509132",{"doi":315,"openalex_id":317,"authors":318,"venue":256,"cited_by_count":103,"oa_url":253,"card":322,"direction":327,"ingested_from":111},"W7223104009",[319],{"name":320,"orcid":321},"Ahmed Hala","https:\u002F\u002Forcid.org\u002F0000-0002-7749-2299",{"tldr":323,"method":324,"finding":325,"direction":110,"opportunity":326},"提出并优化等离子体种子预处理+四阶段垂直混合温室单元，加速咖啡室内栽培。","50W氦DBD等离子体处理种子，Box-Behnken响应面试验与多目标优化建模","出苗提前约两周，活力指数增61.1%，首果期缩至17-18个月，水分利用效率4.72g\u002FL。","等离子体种子预处理与室内垂直栽培耦合可拓展至其他多年生高值作物，并需验证规模化能耗经济性。","农业遥感与作物表型","2026-10-22T11:20:31.314461Z",{"id":330,"title":331,"url":332,"summary":333,"summary_zh":9,"content":9,"source_name":334,"source_url":332,"published_at":335,"category":12,"cover_url":9,"hotness":13,"is_selected":47,"score":336,"score_detail":337,"sources":339,"tags":341,"primary_topic":346,"secondary_topics":347,"classification":348,"search_phrases":360,"slug":363,"view_count":103,"doi":364,"paper":365,"created_at":380},5540,"A national study of the effectiveness and co-benefits from actions to mitigate water quality impairment and greenhouse gas emissions from dairy farms in New Zealand","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105026","A national study of the effectiveness and co-benefits from actions to mitigate water quality impairment and greenhouse gas emissions from dairy farms in New Zealand。Agricultural Systems","Agricultural Systems","2026-10-22T00:00:00Z",86,{"impact":125,"substance":125,"depth":18,"authority":155,"freshness":13,"relevant":21,"comment":338},"新西兰全国性奶牛场水环境与温室气体协同减排研究，数据规模大、结论有政策参考价值，但属境外研究，对国内读者直接相关性有限。",[340],{"name":334,"url":332},[342,343,135,344,345],"奶业","新西兰","水质保护","农业环境政策",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":349},{"candidates":350,"agricultural_evidence":47},[351,355],{"code":32,"score":46,"supported":47,"title":352,"abstract":353,"tags":354},[56],[56],[],{"code":356,"score":21,"supported":14,"title":357,"abstract":358,"tags":359},"C2",[],[],[342],[361,362],"新西兰 奶牛场 温室气体 减排","农业环境政策 温室气体减排 水质保护 新西兰","新西兰奶牛场温室气体减排-5540","10.1016\u002Fj.agsy.2026.105026",{"doi":364,"openalex_id":366,"authors":367,"venue":334,"cited_by_count":103,"oa_url":332,"card":9,"direction":9,"ingested_from":111},"W7223139855",[368,371,374,376,378],{"name":369,"orcid":370},"Richard William McDowell","https:\u002F\u002Forcid.org\u002F0000-0003-3911-4825",{"name":372,"orcid":373},"Katrina Ann Macintosh","https:\u002F\u002Forcid.org\u002F0000-0002-7232-400X",{"name":375,"orcid":9},"A. Wright-Stow",{"name":377,"orcid":9},"P. Astruc",{"name":379,"orcid":9},"C.X.O. Thiange","2026-10-22T11:20:11.497856Z",{"id":382,"title":383,"url":384,"summary":385,"summary_zh":9,"content":9,"source_name":386,"source_url":9,"published_at":257,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":203,"score_detail":387,"sources":391,"tags":393,"primary_topic":397,"secondary_topics":398,"classification":404,"search_phrases":420,"slug":423,"view_count":103,"doi":9,"paper":424,"created_at":432},5536,"日光温室番茄全生育期环境特征解析与智能调控决策支持方法","https:\u002F\u002Fpaper.sciencenet.cn\u002Fhtmlpaper\u002F2026\u002F10\u002F20261021145441802156759.shtm","研究解析日光温室番茄全生育期环境特征，发现该类温室气候缓冲能力较强、有效积温与番茄生理需求呈双峰匹配，但相对增益指标揭示单位时间热量供给失衡、深冬热量不足以及光能结构性不足、湿度调控昼夜失衡等问题。作者建议构建温度—光照—湿度耦合的智能闭环控制系统。","Agriculture 2026-10-21",{"impact":388,"substance":389,"depth":149,"authority":127,"freshness":13,"relevant":21,"comment":390},16,21,"论文解析日光温室番茄全生育期环境特征并提出温光湿耦合智能调控方案，结论有新意，对设施农业信息化有参考价值。",[392],{"name":386,"url":384},[210,211,394,395,396],"环境调控","温室番茄","智能决策",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[399],{"code":400,"slug":401,"name":402,"path":403,"parent_code":36},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables",{"status":39,"locked":14,"version":40,"method":41,"evidence":405},{"candidates":406,"agricultural_evidence":47},[407,411,416],{"code":32,"score":127,"supported":47,"title":408,"abstract":409,"tags":410},[55],[55],[395,394],{"code":400,"score":46,"supported":47,"title":412,"abstract":414,"tags":415},[413],"番茄",[413],[],{"code":45,"score":21,"supported":14,"title":417,"abstract":418,"tags":419},[],[],[210],[421,422],"日光温室 番茄 环境调控","温室番茄 智能闭环控制","日光温室番茄环境调控-5536",{"doi":9,"openalex_id":9,"authors":425,"venue":9,"cited_by_count":103,"oa_url":9,"card":426,"direction":110,"ingested_from":431},[],{"tldr":427,"method":428,"finding":429,"direction":110,"opportunity":430},"解析日光温室番茄全生育期环境特征并提出智能调控决策支持方法。","基于全生育期环境监测数据，分析积温匹配与相对增益指标。","温室缓冲力强但深冬热量不足、光能结构性不足、湿度昼夜失衡。","可研发温度—光照—湿度耦合的智能闭环控制算法，并验证其对番茄产量与能耗的协同优化效果。","agent","2026-10-22T00:07:10.129353Z",{"id":434,"title":435,"url":436,"summary":437,"summary_zh":9,"content":438,"source_name":439,"source_url":9,"published_at":9,"category":440,"cover_url":9,"hotness":13,"is_selected":14,"score":441,"score_detail":442,"sources":444,"tags":446,"primary_topic":452,"secondary_topics":453,"classification":454,"search_phrases":476,"slug":479,"view_count":103,"doi":9,"paper":9,"created_at":480},5356,"泰国榴莲专家一行到云南省农科院热经所考察 双方达成合作意愿","https:\u002F\u002Fwww.31food.com\u002Fnews\u002F43969.html","10 月 8—10 日,泰国榴莲专家组一行 5 人到访云南省农业科学院热带亚热带经济作物研究所(简称热经所)考察。热经所尼章光研究员、王美存副研究员陪同调研了热经所榴莲温室种植和大田种植的情况,双方围绕制约潞江坝种植榴莲发展的寒、旱、风核心问题相互交流,共同培育出适合云南、泰国的榴莲优良品种和提升云南、泰国榴莲的种植技术水平,达成合作意愿。","[![Image 2](https:\u002F\u002Fwww.31food.com\u002Fimages\u002FVersion\u002F2025\u002Flogo.png)](https:\u002F\u002Fwww.31food.com\u002F)\n\n资讯中心\n\n资讯\n\n__\n\n*   资讯\n*   技术\n*   展会\n\n__ 搜索\n\n[![Image 3: 广告招租](https:\u002F\u002Fimg48.31food.com\u002F6\u002F20251022\u002F638967411604383587436.jpg)](https:\u002F\u002Fwww.31food.com\u002FAdvertisInfo_PageView.aspx?ID=1706 \"广告招租\")\n\n  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关键词：[榴莲产业](https:\u002F\u002Fwww.31food.com\u002Fnews\u002F43969.html)[热带作物](https:\u002F\u002Fwww.31food.com\u002Fnews\u002F43969.html)[国际合作](https:\u002F\u002Fwww.31food.com\u002Fnews\u002F43969.html)阅读量：39\n\n**导读：**10 月 8-10 日，泰国榴莲专家组到访云南农科院热经所考察，实地调研温室与大田榴莲种植，交流防寒旱风及病害技术难题，座谈介绍云南榴莲产业现状，双方就品种选育与种植技术达成合作意向。 \n\n 2026年10月8日-10月10日，泰国榴莲专家一行5人至云南省农业科学院热带亚热带经济作物研究所(简称：热经所)考察。  \n\n 热经所尼章光研究员、王美存副研究员陪同调研了热经所榴莲温室种植和大田种植的情况，期间共同交流了制约潞江坝种植榴莲发展的寒、旱、风的核心问题，相互对如何突破防寒、防旱、防风、叶枯病等技术进行了深入讨论。对此，泰国榴莲专家给出了一些宝贵的经验和一些建设性建议。  \n\n 在座谈交流会上，热经所副所长张翠仙副研究员首先介绍了热经所的基本情况；接着介绍了孟定、金平、勐腊、德宏等云南榴莲种植区域的气候特色；然后对热经所在各榴莲种植区域的基地建设情况、引进品种、各区域的榴莲种植规模、结果情况等作了详细阐述。泰国榴莲专家对如何提升榴莲的果实品质和提高果农效益，从种植区域多样性、土壤、气候、生产季节、种植区域特色品牌创制等5个方面展开了细致讲解。最后双方针对共同培育出适合云南、泰国的榴莲优良品种和提升云南、泰国榴莲的种植技术水平展开了讨论并且双方达成了合作意愿。  \n\n![Image 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