[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4004":3,"related-4004":91},{"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":60,"slug":63,"view_count":22,"doi":64,"paper":65,"created_at":90},4004,"Do varietal preferences reflect livelihood orientations? Evidence from sorghum farmers in Kenya","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1967906","Existing studies in sub-Saharan Africa on farmers' varietal preferences have paid limited attention to how these preferences relate to different livelihood orientations. This study investigates whether variations in farmers' preferences for sorghum traits are linked to differences in their livelihood orientations. Using data from a discrete choice experiment involving 362 farmers in Homa Bay County, preferences for six attributes: end use (household and industrial), yield potential, maturity, grain price, seed price, and bird tolerance were analyzed through a latent class model. The findings identify two distinct preference classes: Class 1 values higher yields, early maturity, higher grain prices, and multi-end use, whereas Class 2 strongly prefers improved bird tolerance. Farm size and cultivation of both local and improved varieties were significantly associated with class membership, while farmer-group membership was marginally significant. Post-hoc profiling further showed significant differences between the classes in farm size, household size, sorghum yield, quantity sold, and variety type. The preferences and class profiles may point to a productivity orientation in Class 1 and greater sensitivity to production risk in Class 2. These findings highlight the importance of targeted, inclusive breeding programs that address smallholder farmers' varied needs and challenges.","现有关于撒哈拉以南非洲农民品种偏好的研究，对其偏好与不同生计取向之间关系的关注有限。本研究探讨农民对高粱性状偏好的差异是否与其生计取向的差异相关。利用在霍马湾郡362名农民中开展的离散选择实验数据，通过潜在类别模型分析了农民对六个属性的偏好：用途（家庭用和工业用）、产量潜力、成熟期、谷物价格、种子价格和耐鸟性。研究结果识别出两个不同的偏好类别：类别1重视较高产量、早熟、较高谷物价格和多用途，而类别2则强烈偏好改良的耐鸟性。农场规模和本地品种与改良品种的种植均与类别归属显著相关，而农民团体成员身份则仅具有边际显著性。事后画像分析进一步表明，两个类别在农场规模、家庭规模、高粱产量、销售量和品种类型方面存在显著差异。这些偏好和类别画像可能指向类别1的生产力取向和类别2对生产风险的更高敏感性。这些发现凸显了开展有针对性的、包容性的育种项目以满足小农户多样化需求和挑战的重要性。",null,"Frontiers in Sustainable Food Systems","2026-10-01T00:00:00Z","论文",10,false,66,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,20,16,13,9,1,"基于362户离散选择实验的实证研究，揭示农户生计取向与高粱品种偏好的关联，对非洲小农户定向育种有参考价值，但属区域性学术成果，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"肯尼亚","小农户","高粱种业","农户品种偏好","育种目标",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,53],{"code":33,"score":46,"supported":47,"title":48,"abstract":50,"tags":52},14,true,[49],"sorghum",[51,49],"高粱",[],{"code":54,"score":55,"supported":47,"title":56,"abstract":57,"tags":59},"G2",7,[],[28,58],"smallholder",[28],[61,62],"肯尼亚 高粱 品种偏好","Homa Bay 高粱 农户","肯尼亚高粱品种偏好-4004","10.3389\u002Ffsufs.2026.1967906",{"doi":64,"openalex_id":66,"authors":67,"venue":10,"cited_by_count":82,"oa_url":6,"card":83,"direction":87,"ingested_from":89},"W7215124084",[68,70,73,76,79],{"name":69,"orcid":9},"Kennedy Mutuku",{"name":71,"orcid":72},"Marijke D’Haese","https:\u002F\u002Forcid.org\u002F0000-0002-0544-3420",{"name":74,"orcid":75},"Mary Akinyi Orinda","https:\u002F\u002Forcid.org\u002F0000-0002-6246-7904",{"name":77,"orcid":78},"Wannes Slosse","https:\u002F\u002Forcid.org\u002F0000-0001-6095-6416",{"name":80,"orcid":81},"Stijn Speelman","https:\u002F\u002Forcid.org\u002F0000-0001-7692-3459",0,{"tldr":84,"method":85,"finding":86,"direction":87,"opportunity":88},"基于肯尼亚高粱农户离散选择实验，揭示品种偏好与生计导向的关联。","对362户农户做离散选择实验，用潜类别模型分析六种品种属性。","识别出两类偏好：一类重产量与早熟，另一类重抗鸟害，且与农场规模等相关。","农业人工智能与决策模型","可将生计导向纳入品种偏好异质性建模，为参与式育种和精准推广提供决策依据。","openalex","2026-10-02T23:30:10.588049Z",{"total":92,"page":22,"page_size":92,"items":93},6,[94,202,279,310,376,416],{"id":95,"title":96,"url":97,"summary":98,"summary_zh":99,"content":9,"source_name":10,"source_url":97,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":100,"score_detail":101,"sources":106,"tags":108,"primary_topic":114,"secondary_topics":115,"classification":116,"search_phrases":171,"slug":174,"view_count":154,"doi":175,"paper":176,"created_at":201},3995,"Determinants of farmers’ willingness to adopt technologies for the agroecological and precision management of potato pests and diseases in Rwanda","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1930171","Introduction Potato ( Solanum tuberosum L. ) production in Rwanda is limited by pests and diseases, resulting in significant yield losses and increased use of synthetic pesticides. Despite growing interest in sustainable agriculture, few studies provide empirical evidence on farmers’ knowledge of agroecological pest management practices and precision agriculture in Rwanda. This study assessed farmers’ management practices, awareness and perceptions of agroecological practices and precision agriculture technologies, as well as factors that may influence the willingness to adopt precision agriculture tools in smallholder potato systems. Methods A farm household survey using a semi-structured questionnaire was conducted among 223 potato farmers in three districts of Rwanda (i.e., Rubavu, Gicumbi, and Nyamagabe) in July 2025. Descriptive statistics, Chi square tests, and Fisher’s exact tests were used to analyze farmers’ practices and perceptions. A Firth-penalized logistic regression model, constructed based on a purposeful selection of covariates strategy, was used to identify factors associated with farmers’ willingness to adopt precision agriculture technologies. Results Findings revealed that pests and diseases were the main production constraints, with bacterial wilt, viruses, late blight, and whiteflies being the most frequently cited. Farmers primarily used synthetic pesticides to manage aerial pests and foliar diseases, while preventive agronomic practices were used to manage soil-borne pests and diseases. The use of biopesticides remained extremely limited and farmers were aware of the negative impacts of pesticide misuse and expressed a strong willingness to adopt better pest management practices. Knowledge of precision agriculture technologies was mainly limited (79%). Farmers associated precision agriculture primarily with mechanization, whereas awareness of drones, sensors and digital decision-support tools was limited. They demonstrated highly positive perceptions toward precision agriculture (90%) and a strong willingness to learn more (87%). The results of the logistic regression showed that mobile phone usage (OR = 20.58, p \u003C 0.01) and the willingness to adopt agroecological practices (OR = 67.73, p \u003C 0.001) were associated with a higher likelihood of expressing willingness to adopt precision agriculture technologies. Discussion These results highlight the opportunity to integrate precision agroecology approaches in Rwanda. Mobile-based advisory systems and low-cost digital technologies could serve as effective entry points for promoting sustainable potato production systems among smallholder farmers.","引言 卢旺达的马铃薯（Solanum tuberosum L.）生产受到病虫害的制约，导致显著的产量损失以及合成农药使用量的增加。尽管可持续农业日益受到关注，但鲜有研究提供关于卢旺达农民对农业生态病虫害管理实践和精准农业认知的实证证据。本研究评估了农民的管理实践、对农业生态实践和精准农业技术的认知与看法，以及可能影响小农马铃薯生产体系采用精准农业工具意愿的因素。方法 于2025年7月在卢旺达三个地区（即鲁巴武、吉孔比和尼亚马加贝）对223名马铃薯种植户开展了采用半结构化问卷的农户调查。采用描述性统计、卡方检验和Fisher精确检验分析农民的做法和看法。基于有目的协变量选择策略构建Firth惩罚逻辑回归模型，用于识别与农民采用精准农业技术意愿相关的因素。结果 研究结果显示，病虫害是主要的生产制约因素，其中青枯病、病毒病、晚疫病和烟粉虱被提及的频率最高。农民主要使用合成农药来防治地上害虫和叶部病害，而采用预防性农艺措施来防治土传病虫害。生物农药的使用仍然极为有限，农民已意识到农药滥用的负面影响，并表达了采用更好病虫害管理实践的强烈意愿。对精准农业技术的了解主要有限（79%）。农民主要将精准农业与机械化联系在一起，而对无人机、传感器和数字决策支持工具的认知有限。他们对精准农业表现出高度积极的看法（90%）和强烈的进一步学习意愿（87%）。逻辑回归结果表明，手机使用（OR = 20.58，p \u003C 0.01）和采用农业生态实践的意愿（OR = 67.73，p \u003C 0.001）与表达采用精准农业技术意愿的较高可能性相关。讨论 这些结果凸显了在卢旺达整合精准农业生态方法的机会。基于移动端的咨询服务",72,{"impact":102,"substance":103,"depth":104,"authority":20,"freshness":21,"relevant":22,"comment":105},12,21,17,"基于223户农户调查的实证研究，揭示手机使用与生态农业意愿对精准农业技术采纳的显著影响，对数字植保与小农户技术推广有参考价值，但属区域性研究，公共影响有限。",[107],{"name":10,"url":97},[109,110,111,28,112,113],"智慧农业","马铃薯","病虫害防控","数字植保","卢旺达",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":117},{"candidates":118,"agricultural_evidence":47},[119,125,132,139,146,153,158,165],{"code":33,"score":120,"supported":47,"title":121,"abstract":123,"tags":124},15,[122],"potato",[110,122],[110],{"code":126,"score":55,"supported":47,"title":127,"abstract":128,"tags":131},"I1",[],[129,130],"精准农业","precision agriculture",[109],{"code":133,"score":92,"supported":47,"title":134,"abstract":135,"tags":138},"F4",[],[136,137],"农药","pesticide",[],{"code":140,"score":92,"supported":47,"title":141,"abstract":142,"tags":145},"H6",[],[143,144],"农业生态","agroecology",[],{"code":147,"score":92,"supported":47,"title":148,"abstract":149,"tags":152},"H8",[],[150,151],"可持续农业","sustainable agriculture",[],{"code":54,"score":154,"supported":47,"title":155,"abstract":156,"tags":157},4,[],[58],[28],{"code":159,"score":160,"supported":47,"title":161,"abstract":162,"tags":164},"F5",3,[],[163],"机械化",[],{"code":166,"score":160,"supported":47,"title":167,"abstract":168,"tags":170},"H2",[],[169],"soil",[],[172,173],"卢旺达 马铃薯 病虫害","卢旺达 精准农业 采纳意愿","卢旺达马铃薯病虫害-3995","10.3389\u002Ffsufs.2026.1930171",{"doi":175,"openalex_id":177,"authors":178,"venue":10,"cited_by_count":82,"oa_url":97,"card":195,"direction":199,"ingested_from":89},"W7215069280",[179,181,183,186,189,192],{"name":180,"orcid":9},"Judicael S. O. Ganta",{"name":182,"orcid":9},"Antoine Karangwa",{"name":184,"orcid":185},"Peace Bamurigire","https:\u002F\u002Forcid.org\u002F0000-0002-9884-9787",{"name":187,"orcid":188},"Nicodème V. Fassinou Hotegni","https:\u002F\u002Forcid.org\u002F0000-0001-5826-3688",{"name":190,"orcid":191},"Enoch Gbenato Achigan-Dako","https:\u002F\u002Forcid.org\u002F0000-0002-5493-0516",{"name":193,"orcid":194},"Vincent de Paul Bigirimana","https:\u002F\u002Forcid.org\u002F0009-0003-0097-2555",{"tldr":196,"method":197,"finding":198,"direction":199,"opportunity":200},"调查卢旺达223户马铃薯种植户，分析其采纳精准农业技术的意愿及影响因素。","农户问卷调查，描述统计、卡方检验与Firth惩罚逻辑回归。","手机使用和愿采纳生态农业实践显著提升精准农业技术采纳意愿。","数字乡村与农业信息化","可研究手机端决策支持工具如何与生态农业实践结合，推动小农户精准病虫害管理。","2026-10-02T23:30:09.816615Z",{"id":203,"title":204,"url":205,"summary":206,"summary_zh":207,"content":9,"source_name":10,"source_url":205,"published_at":208,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":209,"score_detail":210,"sources":212,"tags":214,"primary_topic":219,"secondary_topics":220,"classification":226,"search_phrases":255,"slug":258,"view_count":154,"doi":259,"paper":260,"created_at":278},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":102,"substance":103,"depth":104,"authority":20,"freshness":13,"relevant":22,"comment":211},"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。",[213],{"name":10,"url":205},[215,28,216,217,218],"农业信息化","甘薯","尼日利亚","信息传播",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[221],{"code":54,"slug":222,"name":223,"path":224,"parent_code":225},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"status":40,"locked":14,"version":41,"method":42,"evidence":227},{"candidates":228,"agricultural_evidence":47},[229,233,237,244,251],{"code":33,"score":120,"supported":47,"title":230,"abstract":231,"tags":232},[122],[216,122],[216],{"code":54,"score":120,"supported":47,"title":234,"abstract":235,"tags":236},[58],[28,58],[28],{"code":238,"score":92,"supported":47,"title":239,"abstract":240,"tags":243},"A8",[],[241,242],"粮食安全","food security",[],{"code":245,"score":92,"supported":47,"title":246,"abstract":247,"tags":250},"H7",[],[248,249],"气候适应","climate resilience",[],{"code":126,"score":22,"supported":14,"title":252,"abstract":253,"tags":254},[],[],[215],[256,257],"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":259,"openalex_id":261,"authors":262,"venue":10,"cited_by_count":82,"oa_url":205,"card":273,"direction":199,"ingested_from":89},"W7214099591",[263,266,268,270],{"name":264,"orcid":265},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":267,"orcid":9},"Melusi Sibanda",{"name":269,"orcid":9},"Nolwazi Z. Khumalo",{"name":271,"orcid":272},"Temitope O. Ojo","https:\u002F\u002Forcid.org\u002F0000-0002-3517-0435",{"tldr":274,"method":275,"finding":276,"direction":199,"opportunity":277},"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",{"id":280,"title":281,"url":282,"summary":283,"summary_zh":9,"content":9,"source_name":284,"source_url":9,"published_at":285,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":286,"score_detail":287,"sources":289,"tags":291,"primary_topic":294,"secondary_topics":295,"classification":296,"search_phrases":303,"slug":306,"view_count":307,"doi":308,"paper":9,"created_at":309},35,"肯尼亚小农马铃薯经营主体使用市场情报的决定因素","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1858591\u002Ffull","在肯尼亚纳库鲁郡Molo分郡对276户小农开展横截面调查，使用多元Probit（MVP）模型同时估计投入情报、市场情报和价格情报三类市场情报的采纳决定因素。研究显示三类情报选择之间存在显著相互依赖；马铃薯种植面积对三类情报使用均有正向影响；推广服务与信贷可显著提升投入情报使用；市场信息可及性显著提升市场情报使用；合作社成员身份显著提升价格情报使用；年龄、家庭规模和性别对部分情报选择亦有显著影响。建议加强推广服务、扩大普惠信贷、支持农民组织和投入市场信息系统。","Frontiers in Sustainable Food Systems · 2026-07-24 接收","2026-07-24T00:00:00Z",64,{"impact":102,"substance":18,"depth":19,"authority":102,"freshness":154,"relevant":22,"comment":288},"针对肯尼亚小农马铃薯经营主体的实证研究，方法新颖，数据可靠，但地域局限，时效性一般。",[290],{"name":284,"url":282},[292,293,110,27],"农业信息服务","市场情报",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":297},{"candidates":298,"agricultural_evidence":47},[299],{"code":33,"score":102,"supported":47,"title":300,"abstract":301,"tags":302},[110],[110],[110],[304,305],"农业信息服务 市场情报 肯尼亚 马铃薯","农业信息服务 市场情报","农业信息服务市场情报肯尼亚马铃薯-35",18,"10.3389\u002Ffsufs.2026.1858591\u002Ffull","2026-07-28T03:05:27.107444Z",{"id":311,"title":312,"url":313,"summary":314,"summary_zh":315,"content":9,"source_name":316,"source_url":313,"published_at":317,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":318,"score_detail":319,"sources":322,"tags":324,"primary_topic":328,"secondary_topics":329,"classification":330,"search_phrases":354,"slug":357,"view_count":82,"doi":358,"paper":359,"created_at":375},5561,"Growth Stage and Cultivar Influence the Interpretation of UAV-Derived NDVI for Potato Yield Assessment","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11540-026-10161-5","Abstract Single-date UAV vegetation indices are widely used to assess potato crop performance and estimate yield. However, whether their biological interpretation remains consistent across cultivars and growth stages is rarely examined. This study investigated how the relationships between UAV-derived multispectral and thermal canopy indicators and potato yield changed during crop development under contrasting irrigation in two cultivars with contrasting maturity classes (Anouk and Celandine). UAV surveys were conducted in July and August, and canopy metrics were related to final yield and tuber traits. The relationship between NDVI and yield differed markedly between cultivars and growth stages. In the early-maturing cultivar Anouk, July NDVI showed a strong positive correlation with yield ( r = 0.87, p = 0.002), whereas August NDVI was not informative. In the late-maturing cultivar Celandine, the relationship reversed from a positive correlation in July ( r = 0.56) to a strong negative correlation in August ( r = −0.80, p = 0.009), indicating that greater late-season canopy greenness was associated with lower yield. Exploratory LOOCV Random Forest models achieved the highest yield prediction accuracy using July features for Anouk ( R 2 = 0.72) and August features for Celandine ( R 2 = 0.47), while multi-temporal features provided similar predictive performance. Greater temporal declines in NDVI were associated with higher yield in both cultivars, consistent with the change in canopy greenness acting as a phenological indicator of the transition from vegetative growth to tuber bulking. These results demonstrate that the interpretation of UAV-derived vegetation indices is strongly dependent on cultivar maturity and growth stage. A single UAV acquisition may therefore provide misleading assessments of crop performance when canopy phenology is not considered. Rather than serving as fixed proxies for yield, canopy vegetation indices should be interpreted within cultivar-specific and temporal contexts when used for potato monitoring and agronomic decision-making.","摘要 单期无人机植被指数被广泛用于评估马铃薯作物表现和估算产量。然而，其生物学解释在不同品种和生育期之间是否保持一致，鲜有研究加以检验。本研究探讨了在两种成熟性类别不同的品种（Anouk和Celandine）中，不同灌溉条件下，无人机获取的多光谱与热红外冠层指标与马铃薯产量之间的关系在作物发育过程中如何变化。无人机调查于7月和8月进行，并将冠层指标与最终产量及块茎性状进行关联分析。NDVI与产量之间的关系在品种和生育期之间差异显著。在早熟品种Anouk中，7月NDVI与产量呈强正相关（r = 0.87，p = 0.002），而8月NDVI则不具有指示意义。在晚熟品种Celandine中，该关系由7月的正相关（r = 0.56）转变为8月的强负相关（r = −0.80，p = 0.009），表明后期冠层绿度越高与产量越低相关。探索性留一交叉验证（LOOCV）随机森林模型在使用Anouk的7月特征（R² = 0.72）和Celandine的8月特征（R² = 0.47）时取得了最高的产量预测精度，而多时相特征提供了相似的预测表现。两个品种中NDVI随时间下降幅度越大均与产量越高相关，这与冠层绿度变化作为从营养生长向块茎膨大转变的物候指示相一致。这些结果表明，无人机获取的植被指数的解释强烈依赖于品种成熟性和生育期。因此，在未考虑冠层物候的情况下，单次无人机采集可能对作物表现作出误导性评估。冠层植被指数不应作为产量的固定替代指标，而应在品种特异性和时间背景下加以解释，方可用于马铃薯监测和农艺决策。","Potato Research","2026-10-20T00:00:00Z",79,{"impact":19,"substance":320,"depth":307,"authority":46,"freshness":21,"relevant":22,"comment":321},22,"该研究揭示UAV-NDVI与马铃薯产量的关系随品种熟期和生育阶段而反转，对智慧农业遥感监测具有实质方法学与决策参考价值。",[323],{"name":316,"url":313},[109,110,325,326,327],"产量预测","遥感","作物表型",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":331},{"candidates":332,"agricultural_evidence":47},[333,337,344,350],{"code":33,"score":120,"supported":47,"title":334,"abstract":335,"tags":336},[122],[110,122],[110],{"code":338,"score":92,"supported":47,"title":339,"abstract":340,"tags":343},"H3",[],[341,342],"灌溉","irrigation",[],{"code":345,"score":92,"supported":47,"title":346,"abstract":347,"tags":349},"I3",[],[348],"multispectral",[325,327,326],{"code":126,"score":22,"supported":14,"title":351,"abstract":352,"tags":353},[],[],[109],[355,356],"UAV NDVI 马铃薯 产量","马铃薯 品种 生育期 遥感","UAVNDVI马铃薯产量-5561","10.1007\u002Fs11540-026-10161-5",{"doi":358,"openalex_id":360,"authors":361,"venue":316,"cited_by_count":82,"oa_url":367,"card":368,"direction":374,"ingested_from":89},"W7223067378",[362,365],{"name":363,"orcid":364},"Jiangsan Zhao","https:\u002F\u002Forcid.org\u002F0000-0003-3916-7388",{"name":366,"orcid":9},"Jaroslaw S. 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