[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3269":3,"related-3269":60},{"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,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":59},3269,"Heterogeneous allocation of organic fertilizer under spatial constraints: evidence from Northern Ghana","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1938147","Organic fertilizer use is a key component of sustainable soil fertility management in smallholder systems though its adoption remains limited across sub-Saharan Africa. Although previous studies have primarily focused on household-level adoption, less attention has been paid as to how farmers allocate organic inputs across heterogeneous plots under resource constraints. This study addresses this research gap by examining the plot-level determinants of organic fertilizer use in a heterogeneous smallholder system in Northern Ghana. Using household survey data covering the 2023 and 2024 cropping seasons, the analysis explicitly distinguishes among three decision stages: plot-level organic fertilizer use, intra-farm allocation, and application intensity. Econometric models were used to evaluate the associations of plot accessibility, crop choice, soil characteristics, and regional conditions. The results indicated that the allocation of organic inputs was associated with plot characteristics and varied across plots. Maize plots were more likely to receive organic fertilizer, whereas plots perceived as fertile were less likely to do so. Longer travel time from the homestead to the plot was negatively associated with plot-level organic fertilizer use and with within-household allocation, indicating that less accessible plots were less likely to receive organic fertilizer, whereas the association with application intensity differed by input type. Importantly, allocation patterns differed by input type; that is, poultry manure was concentrated in nearby plots, whereas compost was applied more widely across space. These findings suggest that organic fertilizer use reflects a context-specific allocation strategy associated with spatial constraints and input characteristics. As such, this study provides a more nuanced understanding of smallholder decision-making by going beyond a mere binary focus on adoption. Instead of assuming uniform application, policy and extension efforts should emphasize targeted site-specific interventions that may enhance fertilizer effectiveness and promote sustainable soil fertility management.","有机肥使用是小农系统中可持续土壤肥力管理的关键组成部分，但在撒哈拉以南非洲地区，其采用率仍然有限。尽管以往研究主要关注农户层面的采用情况，但对资源约束下农户如何在异质性地块之间分配有机投入品的关注较少。本研究通过考察加纳北部异质性小农系统中农户层面有机肥使用的影响因素，填补了这一研究空白。利用涵盖2023年和2024年种植季的农户调查数据，分析明确区分了三个决策阶段：地块层面的有机肥使用、农场内分配以及施用强度。研究采用计量经济模型评估地块可达性、作物选择、土壤特征和区域条件之间的关联。结果表明，有机投入品的分配与地块特征相关，且在不同地块之间存在差异。玉米地块更有可能获得有机肥，而被认为肥沃的地块则较不可能获得有机肥。从宅基地到地块的通行时间越长，与地块层面有机肥使用和农户内部分配均呈负相关，表明可达性较差的地块较不可能获得有机肥，而施用强度与通行时间的关联则因投入品类型而异。重要的是，分配模式因投入品类型而不同，即家禽粪便集中在附近地块，而堆肥则在空间上施用更为广泛。这些发现表明，有机肥使用反映了一种与空间约束和投入品特征相关的、情境特定的分配策略。因此，本研究超越了对采用与否的简单二元关注，提供了对小农决策更为细致的理解。政策和推广工作不应假设均匀施用，而应强调有针对性的、因地制宜的干预措施，以提高肥料有效性并促进可持续土壤肥力管理。",null,"Frontiers in Sustainable Food Systems","2026-09-22T00:00:00Z","论文",10,false,68,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,21,17,13,9,1,"基于加纳北部两年农户调查的论文，揭示有机肥在异质地块间的配置策略，方法扎实但属区域性研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"精准施肥","撒哈拉以南非洲","小农户","有机肥","土壤肥力",[33,34],"小农户 有机肥 地块配置","撒哈拉以南非洲 土壤肥力 精准施肥 小农户","小农户有机肥地块配置-3269",0,"10.3389\u002Ffsufs.2026.1938147",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":52,"direction":56,"ingested_from":58},"W7214037932",[41,44,46,49],{"name":42,"orcid":43},"Yoshie Yageta","https:\u002F\u002Forcid.org\u002F0000-0001-8756-149X",{"name":45,"orcid":9},"Guenwoo Lee",{"name":47,"orcid":48},"Joseph Agebase Awuni","https:\u002F\u002Forcid.org\u002F0000-0003-0940-9462",{"name":50,"orcid":51},"Satoshi Nakamura","https:\u002F\u002Forcid.org\u002F0000-0002-0952-5618",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"研究加纳北部小农户在空间约束下有机肥的地块级分配决策。","2023-2024农户调查数据，计量模型分析地块可达性、作物与土壤特征。","地块越远越少施有机肥，禽粪集中于近地，堆肥分布更广。","数字乡村与农业信息化","可结合地块空间数据与遥感，构建小农户有机肥精准配置决策支持模型。","openalex","2026-09-23T23:30:07.582998Z",{"total":61,"page":22,"page_size":61,"items":62},6,[63,111,149,181,234,287],{"id":64,"title":65,"url":66,"summary":67,"summary_zh":68,"content":9,"source_name":69,"source_url":66,"published_at":70,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":71,"score_detail":72,"sources":77,"tags":79,"search_phrases":83,"slug":86,"view_count":36,"doi":87,"paper":88,"created_at":110},2516,"Scaling climate-smart agriculture through multi-channel advisory services: economic evaluation of weather information systems in sub-Saharan Africa","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14735903.2026.2731746","Smallholder agriculture in sub-Saharan Africa is 95% rain-fed and exposed to climate variability. This post-implementation evaluation applies activity-based costing to weather advisory services delivered by PlantVillage in Kenya and Burkina Faso from 2022 to 2024 across television, radio, short message service (SMS), and community-based channels. A combined investment of USD 551,966 reached 9.41 million farmers at confirmed exposure and an estimated 14.5 million under a moderate-reach scenario (USD 0.038 per farmer). Because extended reach relies on literature-derived multipliers rather than direct measurement, we report a sensitivity range of USD 0.034 to 0.058; even at the conservative end, the cost advantage over Farmer Field Schools (USD 36 to 70 per participant) remains a factor of 620 to 1,200. Mass media achieved the lowest unit cost (USD 0.027 to 0.031), with evidence limited to confirmed exposure, whereas SMS supported intensive engagement at USD 0.60. In a convenience sample of 4,272 registered iShamba users in Kenya, 83.7% (n = 3,577) reported that advisories influenced their decisions, predominantly planting timing (51%) and farm-activity planning (23%). No comparable data were collected in Burkina Faso, and channel contributions appear complementary rather than demonstrably synergistic. Yields and income were not measured; causal impact requires experimental and longitudinal designs.","撒哈拉以南非洲的小农农业95%依赖雨养，易受气候变率影响。本项实施后评估采用作业成本法，对PlantVillage于2022至2024年间在肯尼亚和布基纳法索通过电视、广播、短信服务（SMS）及社区渠道提供的天气咨询服务进行成本核算。合计投资551,966美元，在确认触达口径下覆盖941万农民，在中度触达情景下估计覆盖1,450万农民（每农民0.038美元）。由于扩展触达依赖文献推导的乘数而非直接测量，我们报告0.034至0.058美元的敏感性区间；即使在保守端，相较于农民田间学校（每位参与者36至70美元）的成本优势仍达620至1,200倍。大众媒体的单位成本最低（0.027至0.031美元），但证据仅限于确认触达；短信则以每农民0.60美元支持深度参与。在肯尼亚4,272名注册iShamba用户的便利样本中，83.7%（n = 3,577）报告咨询信息影响了其决策，主要是种植时间（51%）和农事活动规划（23%）。布基纳法索未收集可比数据，各渠道的贡献似乎互补，而非可证明的协同。产量和收入未予测量；因果影响需要实验和纵向设计。","International Journal of Agricultural Sustainability","2026-09-13T00:00:00Z",78,{"impact":73,"substance":74,"depth":73,"authority":20,"freshness":75,"relevant":22,"comment":76},18,22,7,"基于成本核算的天气信息服务大规模评估，单位成本数据与渠道对比结论扎实，对农业气象信息化推广有参考价值。",[78],{"name":69,"url":66},[80,81,28,29,82],"数字乡村","智慧农业","农业气象服务",[84,85],"撒哈拉以南非洲 农业气象服务 数字乡村 智慧农业","撒哈拉以南非洲 农业气象服务","撒哈拉以南非洲农业气象服务数字乡村智慧农业-2516","10.1080\u002F14735903.2026.2731746",{"doi":87,"openalex_id":89,"authors":90,"venue":69,"cited_by_count":36,"oa_url":103,"card":104,"direction":109,"ingested_from":58},"W7212902218",[91,94,97,99,101],{"name":92,"orcid":93},"Rimnoma S. Ouedraogo","https:\u002F\u002Forcid.org\u002F0000-0003-3339-300X",{"name":95,"orcid":96},"Bipana Paudel Timilsena","https:\u002F\u002Forcid.org\u002F0000-0003-3584-0563",{"name":98,"orcid":9},"Nebnoma R. Tiendrebeogo",{"name":100,"orcid":9},"Derek Morr",{"name":102,"orcid":9},"D M Hughes","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F14735903.2026.2731746?needAccess=true",{"tldr":105,"method":106,"finding":107,"direction":56,"opportunity":108},"评估撒哈拉以南非洲多渠天气信息服务成本与农户决策影响。","采用活动成本法，分析2022-2024年肯尼亚和布基纳法索四类渠道数据。","人均成本仅0.038美元，远低于农民田间学校，83.7%用户称信息影响决策。","需实验与纵向设计验证天气信息对产量收入的因果影响及渠道协同效应。","智慧农业 \u002F 农业物联网","2026-09-15T23:30:10.644934Z",{"id":112,"title":113,"url":114,"summary":115,"summary_zh":116,"content":9,"source_name":10,"source_url":114,"published_at":117,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":118,"score_detail":119,"sources":124,"tags":126,"search_phrases":129,"slug":132,"view_count":36,"doi":133,"paper":134,"created_at":148},1976,"Agro-dealer advisory services and the promotion of commercial organic fertilizers among smallholder farmers in Kenya","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1868413","Background Declining soil fertility, particularly rising acidity from prolonged use of synthetic fertilizers, remains a major constraint on crop productivity in Sub-Saharan Africa. Commercial organic fertilizers (COFs) provide a sustainable alternative by enriching soils with essential nutrients and enhancing structure and microbial activity. Agro-dealers, as central intermediaries in input supply chains, are strategically placed to promote COFs, yet their advisory role is not well understood. Methods This study examines factors influencing agro-dealers' provision of COF advisory services in Kenya, using data from 584 agro-input retailers across six counties. Conditional Mixed Process (CMP) models and Maximum Likelihood Seemingly Unrelated Regression are applied to estimate the effects of soil, agronomic, and fertilizer-specific factors on advisory behavior. Results Results show that knowledge, supplier incentives, and involvement in demonstration plots strongly predict advisory services, while soil degradation, crop stage, and weather also matter. Conclusion Findings underscore the importance of training, extension support, and market incentives in strengthening advisory capacity.","背景 土壤肥力下降，尤其是长期使用合成肥料导致的土壤酸化加剧，仍是撒哈拉以南非洲作物生产力的主要制约因素。商业有机肥料通过向土壤补充必需养分、改善土壤结构并增强微生物活性，提供了一种可持续的替代方案。农资经销商作为投入品供应链中的核心中介，处于推广商业有机肥料的战略位置，但其咨询服务职能尚未得到充分认识。方法 本研究利用肯尼亚六个县的584家农资零售商数据，考察影响农资经销商提供商业有机肥料咨询服务的关键因素。采用条件混合过程模型和极大似然似不相关回归，估计土壤、农艺及肥料特定因素对咨询服务行为的影响。结果 结果显示，知识水平、供应商激励措施及参与示范田活动对咨询服务具有显著预测作用，同时土壤退化状况、作物生育阶段及天气条件亦产生影响。结论 研究结果强调，培训、推广支持及市场激励在增强咨询服务能力方面具有重要意义。","2026-09-08T00:00:00Z",64,{"impact":120,"substance":121,"depth":73,"authority":120,"freshness":122,"relevant":22,"comment":123},12,20,2,"研究农资经销商推广有机肥的咨询服务影响因素，对农业技术推广有参考价值，但地域和时效性有限。",[125],{"name":10,"url":114},[127,29,128,30],"肯尼亚","农业社会化服务",[130,131],"农业社会化服务 小农户 有机肥 肯尼亚","农业社会化服务 小农户","农业社会化服务小农户有机肥肯尼亚-1976","10.3389\u002Ffsufs.2026.1868413",{"doi":133,"openalex_id":135,"authors":136,"venue":10,"cited_by_count":36,"oa_url":114,"card":143,"direction":56,"ingested_from":58},"W7211940467",[137,139,141],{"name":138,"orcid":9},"Castro N. Gichuki",{"name":140,"orcid":9},"S. Wagura Ndiritu",{"name":142,"orcid":9},"Jane N. Maina",{"tldr":144,"method":145,"finding":146,"direction":56,"opportunity":147},"研究肯尼亚农资经销商推广商品有机肥咨询服务的影响因素。","使用584家农资零售商数据，采用条件混合过程模型和似不相关回归分析。","知识、供应商激励和示范田参与显著影响咨询服务，土壤退化等也起作用。","可探索数字化工具如何增强农资经销商在有机肥推广中的咨询能力与激励效果。","2026-09-09T23:30:07.028676Z",{"id":150,"title":151,"url":152,"summary":153,"summary_zh":154,"content":9,"source_name":155,"source_url":152,"published_at":156,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":157,"score_detail":158,"sources":160,"tags":162,"search_phrases":165,"slug":168,"view_count":36,"doi":169,"paper":170,"created_at":180},1888,"Smart Technologies for Precision Nutrient Management in Smallholder Farming: A Comprehensive Review","https:\u002F\u002Fdoi.org\u002F10.4038\u002Fjur.v14i1.8134","Smallholder farmers with less than 2 hectares contribute more than 1\u002F3rd of the world food supply but continue to suffer the challenges of low nutrient use efficiency (30-40%), reduced soil fertility and lack of access to precision agriculture technologies. The aim of the review is to synthesize the evidence of 235 peer-reviewed articles (2010-2025) to assess the precision nutrient management (PNM) technologies, namely, in terms of their applicability, economic feasibility, and adoption capacity within the smallholder farming systems. Systematic literature review according to PRISMA, the analysis of articles on satellite and UAV-based remote sensing, IoT-enabled soil sensors, variable rate application systems, machine learning algorithms, and case studies worldwide were summarized. The application of variable rates can cut fertilizer use by 10-25 % and boost yields by 7-15 % but only small holders adopt it globally because of capital limitations, fragmented land holdings (1-2 ha), poor rural connectivity and insufficient extension services. Multi-source data forecasts nutrient needs with 85-92 % accuracy using machine learning algorithms (Random Forests, Support Vector Machines. Open-source sensor development, offline mobile decision support systems, equipment sharing cooperatives, blended finance (30–50% tech subsidies), and farmer involvement must all be part of the democratization of PNM for smallholders. Institutional adjustments, unified extension services, public-private cooperation, and supportive nutrient management regulations are all necessary for effective scaling. PNM adoption produces 15-30% nutrient runoff reduction, 10-20% greenhouse gas emission reductions, and 0.4-1.2 tons CO2-equivalent per hectare of soil carbon sequestration. PNM adoption produces 15-30% nutrient runoff reduction, 10-20% greenhouse gas emission reductions, and 0.4-1.2 tons CO2-equivalent per hectare of soil carbon sequestration. Economic analyses indicated that farms over 10 ha have positive returns, though smallholders required special support to overcome initial costs and limitations.","拥有不足2公顷土地的小农户贡献了全球粮食供应总量的三分之一以上，却持续面临养分利用效率低下（30-40%）、土壤肥力下降以及缺乏精准农业技术获取途径等挑战。本综述旨在综合235篇同行评审论文（2010-2025年）的证据，评估精准养分管理（PNM）技术在小农农业系统中的适用性、经济可行性和采纳能力。依据PRISMA方法进行系统性文献综述，总结了基于卫星和无人机遥感、物联网土壤传感器、变量施肥系统、机器学习算法及全球案例研究的分析结果。变量施肥技术的应用可减少化肥使用量10-25%，提高产量7-15%，但由于资金限制、土地碎片化（1-2公顷）、农村网络覆盖不足和推广服务欠缺，全球仅有少数小农户采纳该技术。利用机器学习算法（随机森林、支持向量机）进行多源数据预测，养分需求预测准确率可达85-92%。实现小农户PNM技术的普及化，必须包括开源传感器开发、离线移动决策支持系统、设备共享合作社、混合融资（30-50%技术补贴）以及农户参与等多方面措施。有效的规模化推广还需要制度调整、统一的推广服务、公私合作以及支持性养分管理法规的配套。PNM技术的采纳可减少养分径流15-30%，降低温室气体排放10-20%，并实现每公顷0.4-1.2吨二氧化碳当量的土壤碳封存。经济分析表明，10公顷以上的农场可获得正收益，但小农户需要特殊支持以克服初始成本和限制因素。","Journal of the University of Ruhuna","2026-09-07T00:00:00Z",72,{"impact":73,"substance":74,"depth":73,"authority":120,"freshness":122,"relevant":22,"comment":159},"系统综述小农户精准养分管理技术，数据详实，但时效性低，适合专题参考。",[161],{"name":155,"url":152},[81,27,163,164,29],"农业遥感","机器学习",[166,167],"农业遥感 智慧农业 机器学习 精准施肥","农业遥感 智慧农业","农业遥感智慧农业机器学习精准施肥-1888","10.4038\u002Fjur.v14i1.8134",{"doi":169,"openalex_id":171,"authors":172,"venue":155,"cited_by_count":36,"oa_url":152,"card":175,"direction":109,"ingested_from":58},"W7211915396",[173],{"name":174,"orcid":9},"Anuga Liyanage",{"tldr":176,"method":177,"finding":178,"direction":109,"opportunity":179},"综述小农户精准养分管理技术，分析其适用性、经济可行性与采纳障碍。","PRISMA系统综述235篇文献，分析遥感、物联网、变量施肥及机器学习案例。","变量施肥可减肥10-25%并增产7-15%，但小农户因资金、土地细碎等采纳率低。","小农户精准养分管理技术民主化路径，如低成本传感器、离线决策支持系统及合作社共享模式。","2026-09-08T23:30:08.156887Z",{"id":182,"title":183,"url":184,"summary":185,"summary_zh":186,"content":9,"source_name":10,"source_url":184,"published_at":187,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":188,"score_detail":189,"sources":192,"tags":194,"search_phrases":198,"slug":201,"view_count":36,"doi":202,"paper":203,"created_at":233},1521,"Organic and inorganic fertilization differently affect the agronomic performance of two okra (Abelmoschus esculentus L. Moench) varieties and soil fertility","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1818681","Okra is a key vegetable in West Africa, but poor fertilization practices and low soil fertility constrain its productivity. This study evaluated the responses of two okra varieties (AVOK1504 and Konni) to twelve fertilization treatments, including poultry manure (PM), foliar biostimulant (ABC grower), NPK, Urea, and K 2 SO 4 , applied alone or in combination. A split-plot design with three replications was used, with “Variety” as the main factor and “Fertilizers” as the sub-factor. The field trial was implemented over two seasons (years 2021 and 2022) at Abomey-Calavi (Southern Benin) with Sudano-Guinean climatic conditions. Growth parameters, yield components, soil properties, and climatic data were collected. Analysis of variance with the least significant difference at p \u003C 0.05, was performed to assess statistical differences in growth parameters, yield, and yield components. Fertilization regimes significantly influenced plant height, stem diameter, branching, and leaf development ( p \u003C 0.001). T2 induced early flowering and fruiting for the Konni variety, whatever the season: respectively 38.3 and 39.3 days after sowing (season1) 47 and 48 days after sowing (season2). Konni yielded significantly higher than AVOK1504 regardless the season ( p \u003C 0.001). Sole organic fertilizer and its combinations with mineral fertilizers enhanced growth and yield, with 10 t\u002Fha PM (T2), 10 t\u002Fha PM + 200 kg NPK + 50 kg Urea + 50 kg K₂SO₄ (T6) and T7 (T6 + 250L\u002Fha ABC grower) achieving the highest yields: 4.3 t\u002Fha, 5.3 t\u002Fha and 5.8 t\u002Fha, respectively, for Konni against 5.1 t\u002Fha, 4.8 t\u002Fha and 5.3 t\u002Fha, respectively, for AVOK1504. Sole PM at 10 t\u002Fha (T2) showed similar statistical yield performance as T6 and T7, despite its low inputs composition, and additionally most effectively enhanced soil pH, total N, Ca, and Mg. Notably, none of the treatments increased soil organic carbon or available phosphorus, an unexpected result given the high carbon content of the PM applied. Findings highlight the agronomic benefits of integrated nutrient management for optimizing okra productivity and soil health. These results inform fertilizer recommendations and sustainable soil fertility management strategies for okra-producing regions in Benin and similar agroecological zones.","秋葵是西非的一种重要蔬菜，但不良的施肥实践和低土壤肥力制约了其生产力。本研究评估了两个秋葵品种（AVOK1504和Konni）对十二种施肥处理的响应，这些处理包括禽粪（PM）、叶面生物刺激素（ABC grower）、NPK、尿素和K₂SO₄，单独施用或组合施用。采用三次重复的裂区设计，以“品种”为主因素，“肥料”为副因素。田间试验于2021年和2022年两个生长季在贝宁南部阿博梅-卡拉维（Abomey-Calavi）进行，该地区属苏丹-几内亚气候条件。收集了生长参数、产量构成要素、土壤性质和气候数据。采用最小显著差数法（p \u003C 0.05）进行方差分析，以评估生长参数、产量及产量构成要素的统计差异。施肥制度显著影响株高、茎粗、分枝和叶片发育（p \u003C 0.001）。无论季节如何，T2处理均诱导Konni品种提早开花和结果：播种后分别第38.3天和39.3天（第一季）、第47天和48天（第二季）。无论季节如何，Konni的产量均显著高于AVOK1504（p \u003C 0.001）。单独施用有机肥及其与无机肥的组合处理促进了生长和产量，其中10 t\u002Fha PM（T2）、10 t\u002Fha PM + 200 kg NPK + 50 kg尿素 + 50 kg K₂SO₄（T6）和T7（T6 + 250 L\u002Fha ABC grower）获得了最高产量：Konni分别为4.3 t\u002Fha、5.3 t\u002Fha和5.8 t\u002Fha，而AVOK1504分别为5.1 t\u002Fha、4.8 t\u002Fha和5.3 t\u002Fha。尽管单独施用10 t\u002Fha PM（T2）的养分投入组成较低，但其产量表现与T6和T7在统计上相当，且最有效地提高了土壤pH、全氮、钙和镁含量。值得注意的是，所有处理均未增加土壤有机碳或有效磷含量，鉴于所施禽粪的碳含量较高，这一结果出乎意料。研究结果凸显了综合养分管理在优化秋葵生产力和土壤健康方面的农艺效益。这些结果为贝宁秋葵产区及类似农业生态区的肥料推荐和可持续土壤肥力管理策略提供了依据。","2026-09-02T00:00:00Z",65,{"impact":120,"substance":73,"depth":190,"authority":120,"freshness":75,"relevant":22,"comment":191},16,"研究有机无机肥配施对秋葵产量和土壤肥力的影响，为西非可持续施肥提供数据支持。",[193],{"name":10,"url":184},[30,195,196,31,197],"无机肥","秋葵","产量",[199,200],"土壤肥力 无机肥 有机肥 产量","土壤肥力 无机肥","土壤肥力无机肥有机肥产量-1521","10.3389\u002Ffsufs.2026.1818681",{"doi":202,"openalex_id":204,"authors":205,"venue":10,"cited_by_count":36,"oa_url":184,"card":228,"direction":109,"ingested_from":58},"W7206149898",[206,208,211,213,215,217,219,221,224,226],{"name":207,"orcid":9},"Judith Y. F. A. Honfoga",{"name":209,"orcid":210},"Sognigbé N’Danikou","https:\u002F\u002Forcid.org\u002F0000-0002-4163-8567",{"name":212,"orcid":9},"Eric C. Legba",{"name":214,"orcid":9},"Armand Agbannoussou",{"name":216,"orcid":9},"Jordan S. Houegban",{"name":218,"orcid":9},"Morel Avlessi",{"name":220,"orcid":9},"Ramasamy Srinivasan",{"name":222,"orcid":223},"Lukas Pawera","https:\u002F\u002Forcid.org\u002F0000-0001-8548-3491",{"name":225,"orcid":9},"Enoch G. Achigan-Dako",{"name":227,"orcid":9},"Christophe Gandonou",{"tldr":229,"method":230,"finding":231,"direction":109,"opportunity":232},"研究有机与无机肥对两种秋葵品种产量和土壤肥力的影响，发现有机肥及组合效果最佳。","田间试验，裂区设计，两种秋葵品种，十二种施肥处理，两年重复，方差分析。","有机肥（10t\u002Fha禽粪）及其与化肥组合显著提高产量和土壤肥力，但未增加土壤有机碳和有效磷。","可探索有机肥对土壤碳库和磷有效性的长期影响机制，以及基于作物模型的精准施肥推荐系统。","2026-09-03T23:30:07.902045Z",{"id":235,"title":236,"url":237,"summary":238,"summary_zh":239,"content":9,"source_name":240,"source_url":237,"published_at":241,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":242,"score_detail":243,"sources":245,"tags":247,"search_phrases":251,"slug":254,"view_count":36,"doi":255,"paper":256,"created_at":286},3371,"Optimizing nitrogen fertilization in mustard through GreenSeeker-based precision agriculture: Impacts on productivity, economics, and environmental sustainability","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pone.0358762","Excessive nitrogen (N) fertilization is a major challenge to sustainable agriculture, adversely affecting crop productivity, soil quality, and environmental health, emits a potent greenhouse gas nitrous oxide (N 2 O), and nearly 80% of sectoral emissions linked to nutrient inputs applied during crop production. The escalating use of N fertilizers further amplifies N 2 O emissions, undermining soil sustainability and contributing to environmental degradation. So, the hypothesis used behind the study is increasing nitrogen use efficiency from its current level (approx. 30–40%) would reduce the need for N fertilizer requirement, resulting in more cost-effective and environmentally sustainable production system with no yield penalty. With this objective, a field study was executed in rabi 2021–2024, consisting of nine N management treatments and one unfertilized treatment as control, randomized in complete block design in three replicates. To overcome this problem, first we standardized NDVI based N application and developed a Nitrogen Estimation Rate Chart (NERC) for precision N management in real time for specific set target yield. Results showed that sensor based N application enhanced growth and yield attributes, registered 22.75% seed yield enhancement with 18.7% N saving over RDF and 34.4 & 30.2% increment in NMR and BCR. This treatment augmented AE N and PFP N by 14.18 to 124.7% and 1.78 to 51.1%, respectively achieved higher NRE (35–69.5%). The per cent enrichment in SOC content was found superior in RDN 100 + 2% Urea FS (52.6%) followed by RDN 100 + 1.5% KNO 3 FS (39.4%) statistically comparable to RDF (38.1%). The fertilizers contributed largest share of total carbon emissions, accounting for 45.6–52.3%. NDVI based N management reduced GHGs emissions by approximately 11.23% over RDF. The mean biological yield (seed + stover) unveiled positive correlation to total nitrogen (r 2 = 98), total phosphorus (r 2 = 95) and total potassium (r 2 = 98) uptake. This innovative technology enables farmers to prevent excessive N fertilization, thereby reducing resource wastage and minimizing nitrous oxide emission. This technology provides insight on N need of crop in real time in right quantity.","过量施氮是可持续农业面临的一项重大挑战，会对作物生产力、土壤质量和环境健康产生不利影响，并排放强效温室气体氧化亚氮（N₂O），而该领域近80%的排放与作物生产过程中投入的养分有关。氮肥用量的不断攀升进一步加剧了N₂O排放，削弱土壤可持续性并导致环境退化。因此，本研究提出的假设是：将氮利用效率从当前水平（约30%–40%）提高，可减少对氮肥的需求，从而在不造成产量损失的前提下，实现更具成本效益和环境可持续性的生产体系。基于此目标，于2021—2024年rabi季开展了一项田间研究，包括9个氮管理处理和1个不施肥对照处理，采用完全随机区组设计，3次重复。为解决上述问题，首先标准化了基于NDVI的氮肥施用方法，并开发了氮估算速率表（NERC），用于针对特定目标产量进行实时精准氮管理。结果表明，基于传感器的氮肥施用促进了生长和产量性状，种子产量较推荐施肥量（RDF）提高22.75%，节省氮肥18.7%，净收益（NMR）和效益成本比（BCR）分别提高34.4%和30.2%。该处理使氮农学效率（AE N）和氮偏生产力（PFP N）分别提高14.18%–124.7%和1.78%–51.1%，并实现了更高的氮回收效率（NRE，35%–69.5%）。土壤有机碳（SOC）含量的提升幅度以RDN 100 + 2%尿素叶面喷施（52.6%）最优，其次为RDN 100 + 1.5% KNO₃叶面喷施（39.4%），与RDF（38.1%）在统计上相当。肥料对总碳排放的贡献最大，占45.6%–52.3%。基于NDVI的氮管理较RDF减少温室气体排放约11.23%。平均生物产量（种子+秸秆）与总氮（r² = 98）、总磷（r² = 95）和总钾（r² = 98）吸收量呈正相关。这项创新技术使农民能够避免过量施氮，从而减少资源浪费并降低氧化亚氮排放。该技术可实时提供作物氮需求信息，并指导适宜用量的施用。","PLoS ONE","2026-09-23T00:00:00Z",79,{"impact":73,"substance":74,"depth":73,"authority":20,"freshness":17,"relevant":22,"comment":244},"基于NDVI传感器的实时精准施氮研究，四年田间试验数据扎实，兼具增产、节肥与减排价值，对智慧农业施肥决策有参考意义。",[246],{"name":240,"url":237},[81,27,248,249,250],"氮肥管理","NDVI遥感","绿色低碳农业",[252,253],"GreenSeeker NDVI 氮肥管理","芥菜型油菜 精准施氮","GreenSeekerNDVI氮肥管理-3371","10.1371\u002Fjournal.pone.0358762",{"doi":255,"openalex_id":257,"authors":258,"venue":240,"cited_by_count":36,"oa_url":237,"card":280,"direction":285,"ingested_from":58},"W7214115167",[259,262,264,266,268,270,272,274,276,278],{"name":260,"orcid":261},"V. D. Meena","https:\u002F\u002Forcid.org\u002F0000-0001-9528-4832",{"name":263,"orcid":9},"M.L. Dotaniya",{"name":265,"orcid":9},"M.D. Meena",{"name":267,"orcid":9},"R. S. Jat",{"name":269,"orcid":9},"MK Meena",{"name":271,"orcid":9},"R. L. Choudhary",{"name":273,"orcid":9},"H. V. Singh",{"name":275,"orcid":9},"HS MEENA",{"name":277,"orcid":9},"B.L. Meena",{"name":279,"orcid":9},"V. V. Singh",{"tldr":281,"method":282,"finding":283,"direction":109,"opportunity":284},"基于GreenSeeker的NDVI实时氮肥管理优化芥菜施氮，提升产量并减少氮肥与温室气体排放。","2021-2024年田间试验，9个氮处理+对照，用GreenSeeker NDV","传感器施氮使种子产量增22.75%、节氮18.7%，NRE达35-69.5%，温室气体减排约11.2","可将NDVI实时氮管理扩展至其他作物与区域，并结合碳足迹模型量化减排经济价值。","农业绿色发展与碳","2026-09-24T23:30:41.022035Z",{"id":288,"title":289,"url":290,"summary":291,"summary_zh":292,"content":9,"source_name":10,"source_url":290,"published_at":293,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":294,"score_detail":295,"sources":297,"tags":299,"search_phrases":304,"slug":307,"view_count":36,"doi":308,"paper":309,"created_at":327},3330,"Beyond awareness: accounting for information exposure bias in adoption and income effects of Orange-Fleshed Sweet Potato technology among smallholder farming households in Nigeria","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1907286","This study examined the role of information exposure in the adoption of Orange-Fleshed Sweet Potato (OFSP) technology and its effect on the income of smallholder sweet potato farming households in Nigeria. Using cross-sectional primary data collected from 320 smallholder sweet potato farming households in Osun and Kwara States through a two-stage sampling procedure, the study accounted for heterogeneous awareness exposure and actual adoption behavior. The Heckman probit selection model was employed to distinguish between awareness exposure and adoption conditional on awareness, while the Endogenous Treatment Effect (ETE) and Inverse-Probability-Weighted Regression Adjustment (IPWRA) models were used to estimate the income effects of OFSP adoption while correcting for potential endogeneity and selection bias. The findings showed that awareness exposure was significantly influenced by age, marital status, household size, and membership in farmer associations, whereas adoption conditional on awareness was significantly associated with education, farming experience, and access to credit. Descriptively, OFSP adopters reported more favorable perceptions of the technology’s productivity, climate resilience, and nutritional benefits than non-adopters. Both ETE and IPWRA estimates further indicated that OFSP adoption had a positive and significant effect on household income. The study concludes that awareness and adoption are distinct stages influenced by different factors. Policies aimed at promoting OFSP adoption should therefore strengthen targeted information dissemination, extension support, farmer education, and access to credit to enhance adoption, household income, food security, nutrition, and rural livelihoods.","本研究考察了信息接触在橙肉甘薯（Orange-Fleshed Sweet Potato, OFSP）技术采纳中的作用及其对尼日利亚小农户甘薯种植家庭收入的影响。研究采用两阶段抽样程序，从奥孙州和夸拉州320户小农户甘薯种植家庭收集了横截面原始数据，并考虑了异质性认知接触与实际采纳行为。研究运用Heckman probit选择模型区分认知接触与在认知条件下的采纳行为，同时采用内生处理效应（Endogenous Treatment Effect, ETE）模型和逆概率加权回归调整（Inverse-Probability-Weighted Regression Adjustment, IPWRA）模型估计OFSP采纳的收入效应，并校正潜在的内生性和选择偏差。研究结果表明，认知接触显著受年龄、婚姻状况、家庭规模和农民协会成员身份的影响，而在认知条件下的采纳行为则与教育程度、种植经验和信贷可得性显著相关。描述性统计显示，OFSP采纳者对技术生产力、气候适应性和营养益处的感知优于非采纳者。ETE和IPWRA估计结果均表明，OFSP采纳对家庭收入具有显著的正向影响。研究结论认为，认知和采纳是受不同因素影响的 distinct 阶段。因此，旨在促进OFSP采纳的政策应加强针对性信息传播、推广支持、农民教育和信贷可得性，以提高采纳率、家庭收入、粮食安全、营养水平和农村生计。","2026-09-24T00:00:00Z",73,{"impact":120,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":296},"以信息接触偏差为切入，方法规范、数据扎实，对农业技术推广信息化有参考价值，但属区域国别研究，公共影响有限。",[298],{"name":10,"url":290},[300,29,301,302,303],"农业信息化","甘薯","尼日利亚","信息传播",[305,306],"尼日利亚 橙肉甘薯 小农户","信息接触 技术采纳 收入效应","尼日利亚橙肉甘薯小农户-3330","10.3389\u002Ffsufs.2026.1907286",{"doi":308,"openalex_id":310,"authors":311,"venue":10,"cited_by_count":36,"oa_url":290,"card":322,"direction":56,"ingested_from":58},"W7214099591",[312,315,317,319],{"name":313,"orcid":314},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":316,"orcid":9},"Melusi Sibanda",{"name":318,"orcid":9},"Nolwazi Z. Khumalo",{"name":320,"orcid":321},"Temitope O. Ojo","https:\u002F\u002Forcid.org\u002F0000-0002-3517-0435",{"tldr":323,"method":324,"finding":325,"direction":56,"opportunity":326},"研究尼日利亚小农户信息接触偏差对橙肉甘薯技术采纳及收入的影响。","320户两阶段抽样调查，用Heckman probit、ETE和IPWRA模型。","信息接触与采纳受不同因素影响，采纳显著提高农户家庭收入。","可延伸研究信息传播渠道差异如何影响技术采纳阶段转化与收入分配。","2026-09-24T23:30:06.870179Z"]