[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2624":3,"related-2624":104},{"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":72,"slug":75,"view_count":76,"doi":77,"paper":78,"created_at":103},2624,"What drives household income among smallholder livestock farming households? Evidence from communal farming systems in South Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1944104","Introduction Household income is a key indicator of rural welfare and livelihood sustainability among smallholder livestock farming households. Methods This study examined the determinants of household income using survey data collected from communal livestock farmers in South Africa. A multiple linear regression model was employed to assess the influence of demographic, socio-economic, and livestock-related factors on household income. Results Age, household size, and employment status significantly and positively influenced household income, whereas gender, education, farming experience, and livestock holdings were not statistically significant. Employment status emerged as the strongest determinant, highlighting the importance of diversified livelihood strategies that combine livestock production with wage employment and self-employment. Discussion The findings support the Sustainable Livelihoods Framework by demonstrating that household welfare is influenced more by the interaction of human and financial capital than by livestock assets alone. Although livestock remains an important livelihood resource, its economic contribution depends on broader livelihood opportunities and market participation. The study concludes that policies aimed at improving rural household welfare should move beyond increasing livestock ownership to promote livestock commercialisation, rural employment, youth participation, and livelihood diversification. These findings contribute to the growing literature on rural livelihoods and provide evidence to inform integrated rural development policies that seek to enhance household income, resilience, and sustainable agricultural development among South Africa’s smallholder livestock farming households.","引言 家庭收入是小农畜牧养殖户农村福利与生计可持续性的关键指标。方法 本研究利用从南非社区畜牧养殖户收集的调查数据，考察了家庭收入的决定因素。采用多元线性回归模型评估人口特征、社会经济和畜牧相关因素对家庭收入的影响。结果 年龄、家庭规模和就业状况对家庭收入具有显著正向影响，而性别、教育、养殖经验和牲畜存栏量的影响在统计上不显著。就业状况是最强的决定因素，凸显了将畜牧生产与工资就业及自营职业相结合的生计多样化策略的重要性。讨论 研究结果支持可持续生计框架，表明家庭福利更多受到人力资本与金融资本相互作用的影响，而非仅取决于牲畜资产。尽管牲畜仍是重要的生计资源，但其经济贡献取决于更广泛的生计机会和市场参与。研究结论认为，旨在改善农村家庭福利的政策应超越增加牲畜所有权的范畴，转而促进牲畜商业化、农村就业、青年参与和生计多样化。这些发现为不断增长的农村生计文献作出了贡献，并为旨在提升南非小农畜牧养殖户家庭收入、韧性和可持续农业发展的综合农村发展政策提供了证据参考。",null,"Frontiers in Sustainable Food Systems","2026-09-16T00:00:00Z","论文",10,false,68,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},12,18,15,13,1,"基于南非社区畜牧农户调查的实证研究，结论指向生计多样化与畜牧商业化，对发展中国家小农户增收政策有参考价值，但属区域性研究、非国内三农信息化热点。",[24],{"name":10,"url":6},[26,27,28,29,30],"小农户","畜牧养殖","南非农业","生计多样化","农村就业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":47},[44,53,58,65],{"code":45,"score":46,"supported":47,"title":48,"abstract":50,"tags":52},"C",14,true,[49],"livestock",[51,49],"畜牧",[],{"code":32,"score":17,"supported":47,"title":54,"abstract":56,"tags":57},[55],"smallholder",[55],[26],{"code":36,"score":59,"supported":47,"title":60,"abstract":61,"tags":64},6,[],[62,63],"农村发展","rural development",[],{"code":66,"score":67,"supported":47,"title":68,"abstract":69,"tags":71},"H8",3,[],[70],"可持续农业",[],[73,74],"生计多样化 农村就业 南非农业 畜牧养殖","生计多样化 农村就业","生计多样化农村就业南非农业畜牧养殖-2624",2,"10.3389\u002Ffsufs.2026.1944104",{"doi":77,"openalex_id":79,"authors":80,"venue":10,"cited_by_count":95,"oa_url":6,"card":96,"direction":100,"ingested_from":102},"W7213221852",[81,83,86,89,92],{"name":82,"orcid":9},"Tshifhiwa Noluthando Labase",{"name":84,"orcid":85},"Lwandiso Mdiya","https:\u002F\u002Forcid.org\u002F0000-0002-2207-9261",{"name":87,"orcid":88},"Mashford Zenda","https:\u002F\u002Forcid.org\u002F0000-0001-6069-8226",{"name":90,"orcid":91},"Siphe Zantsi","https:\u002F\u002Forcid.org\u002F0000-0001-9787-3913",{"name":93,"orcid":94},"Mhlangabezi Slayi","https:\u002F\u002Forcid.org\u002F0000-0003-1276-7789",0,{"tldr":97,"method":98,"finding":99,"direction":100,"opportunity":101},"基于南非社区农户调查，用多元回归分析小农畜牧家庭收入的决定因素。","南非社区畜牧农户问卷调查，多元线性回归模型。","就业状况是收入最强决定因素，牲畜持有量不显著，需生计多样化。","数字乡村与农业信息化","可探索数字化就业信息与市场参与如何促进小农畜牧家庭生计多样化与增收。","openalex","2026-09-16T23:30:07.419432Z",{"total":59,"page":21,"page_size":59,"items":105},[106,171,266,333,395,447],{"id":107,"title":108,"url":109,"summary":110,"summary_zh":111,"content":9,"source_name":112,"source_url":109,"published_at":113,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":114,"score_detail":115,"sources":119,"tags":121,"primary_topic":125,"secondary_topics":126,"classification":127,"search_phrases":154,"slug":157,"view_count":95,"doi":158,"paper":159,"created_at":170},4601,"Digital Agriculture and Sector Transformation in South Africa","https:\u002F\u002Fdoi.org\u002F10.36096\u002Fijbes.v8i4.1274","Digitalisation is increasingly promoted as a catalyst for agricultural productivity, climate resilience, and market integration. However, there is limited systematic analysis of how digital agricultural transformation unfolds within South Africa’s institutional and socio-economic context. This study examines the trajectory, drivers, and governance implications of digitalisation in South African agriculture. Anchored in an integrated Socio-Technical Systems and Digital Agriculture Ecosystem framework, the study applies a structured qualitative document analysis of 82 academic and policy documents published between 2013 and 2025. The findings reveal highly uneven digital adoption patterns that reflect a structural dualism between capital-intensive commercial agriculture and resource-constrained smallholder systems. While South Africa has developed a relatively advanced digital policy architecture, implementation fragmentation, infrastructure constraints, and limited capacity for extension impede inclusive digital outcomes. The study contributes by integrating socio-technical and ecosystem perspectives to analyse digital transitions in emerging economies and by providing a transparent analytical protocol for document-based research. Policy implications highlight the need for coordinated governance, investment in rural connectivity, and targeted support mechanisms to ensure equitable digital transformation.","数字化日益被视为提升农业生产力、增强气候韧性和促进市场整合的催化剂。然而，对于数字农业转型如何在南非的制度与社会经济语境中展开，尚缺乏系统性分析。本研究考察南非农业数字化的演进轨迹、驱动因素及治理意涵。研究以社会技术系统与数字农业生态系统的整合框架为依托，对2013年至2025年间发表的82份学术与政策文件进行了结构化定性文献分析。研究发现，数字技术采纳模式高度不均衡，反映出资本密集型商业农业与资源受限的小农体系之间的结构性二元分化。尽管南非已建立起相对先进的数字政策架构，但实施碎片化、基础设施制约以及推广能力有限等因素阻碍了包容性数字成果的实现。本研究的贡献在于整合社会技术与生态系统视角以分析新兴经济体的数字转型，并为基于文献的研究提供了透明的分析方案。政策启示强调，需通过协调治理、农村互联互通投资以及有针对性的支持机制，确保公平的数字转型。","International Journal of Business Ecosystem and Strategy (2687-2293)","2026-10-09T00:00:00Z",80,{"impact":18,"substance":116,"depth":18,"authority":20,"freshness":117,"relevant":21,"comment":118},22,9,"基于82份文献的系统性分析，揭示南非数字农业的结构性二元分化与治理碎片化，对新兴经济体数字乡村研究有参考价值。",[120],{"name":112,"url":109},[122,123,26,28,124],"数字农业","智慧农业","农村数字治理",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":128},{"candidates":129,"agricultural_evidence":47},[130,137,142,148],{"code":131,"score":132,"supported":47,"title":133,"abstract":135,"tags":136},"I1",16,[134],"digital agriculture",[122,134],[122,123],{"code":32,"score":138,"supported":47,"title":139,"abstract":140,"tags":141},4,[],[55],[26],{"code":143,"score":67,"supported":47,"title":144,"abstract":145,"tags":147},"H6",[],[146],"农业生态",[],{"code":149,"score":67,"supported":47,"title":150,"abstract":151,"tags":153},"H7",[],[152],"climate resilience",[],[155,156],"南非 数字农业 转型","南非 小农户 数字鸿沟","南非数字农业转型-4601","10.36096\u002Fijbes.v8i4.1274",{"doi":158,"openalex_id":160,"authors":161,"venue":112,"cited_by_count":95,"oa_url":109,"card":165,"direction":100,"ingested_from":102},"W7221113328",[162],{"name":163,"orcid":164},"Mokgadi Julia Ngoepe-Ntsoane","https:\u002F\u002Forcid.org\u002F0000-0001-7995-4824",{"tldr":166,"method":167,"finding":168,"direction":100,"opportunity":169},"系统分析南非农业数字化轨迹、驱动因素与治理影响，揭示数字鸿沟与政策碎片化。","社会技术系统与数字农业生态框架，对82份2013-2025年文献政策进行结构化质","数字采用高度不均，商业农业与小农二元分化；政策先进但实施碎片化、基建与推广能力不足阻碍包容性转型。","可延伸至新兴经济体小农数字包容性治理机制与农村连接性投资评估的实证研究。","2026-10-10T23:30:34.991942Z",{"id":172,"title":173,"url":174,"summary":175,"summary_zh":176,"content":9,"source_name":10,"source_url":174,"published_at":177,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":178,"score_detail":179,"sources":182,"tags":184,"primary_topic":188,"secondary_topics":189,"classification":195,"search_phrases":243,"slug":246,"view_count":67,"doi":247,"paper":248,"created_at":265},3148,"Factors influencing the adoption of climate-smart agriculture practices among smallholder farmers in Melani and Msobomvu villages, Eastern Cape Province","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1869050","Climate-Smart Agriculture (CSA) is widely recognised as an effective approach for improving agricultural productivity, strengthening resilience to climate change, and enhancing food security among small-scale farmers. However, the adoption of CSA practices remains uneven in many rural communities, including Melani and Msobomvu villages in the Raymond Mhlaba Local Municipality, Eastern Cape Province, South Africa. This study investigated farmers’ awareness and understanding of climate-smart agriculture practices, identified the barriers limiting CSA adoption, and examined the socio-economic and institutional factors influencing adoption decisions. A descriptive research design within a quantitative research approach was employed. Data were collected from 158 randomly selected small-scale farmers using a structured questionnaire and analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. One-Way Analysis of Variance (ANOVA) was used to determine the significance of selected socio-economic and institutional factors influencing CSA adoption. The findings revealed that respondents generally possessed a good awareness and understanding of climate-smart agriculture practices, although awareness differed across technologies. Rainwater harvesting (80%), crop diversification (71%), conservation agriculture (68%), and soil conservation (68%) recorded the highest levels of awareness, whereas awareness was comparatively lower for drought-tolerant crop varieties (57%), climate information services (55%), and improved livestock management (49%). The study further identified farmer resistance to change, inadequate financial resources, and limited extension materials as the major barriers limiting CSA adoption. One-Way ANOVA indicated that financial constraints, market access, knowledge of climate-smart agriculture technologies, and extension support were statistically significant factors influencing adoption decisions ( p \u003C 0.05).","气候智慧型农业（Climate-Smart Agriculture, CSA）被广泛认为是提高农业生产率、增强气候变化适应能力以及改善小农户粮食安全的有效途径。然而，在许多农村社区，包括南非东开普省雷蒙德·姆拉巴地方自治市内的梅拉尼和姆索博姆武两个村庄，气候智慧型农业实践的采用仍然不均衡。本研究调查了农民对气候智慧型农业实践的认识和理解，识别了限制气候智慧型农业采用的障碍，并考察了影响采用决策的社会经济与制度因素。研究采用定量研究路径下的描述性研究设计，通过结构化问卷从158名随机选取的小农户中收集数据，并运用描述性统计方法（包括频数、百分比、均值和标准差）进行分析。采用单因素方差分析（One-Way ANOVA）确定所选社会经济与制度因素对气候智慧型农业采用影响的显著性。研究结果表明，受访者总体上对气候智慧型农业实践具有较好的认识和理解，但不同技术之间的认知水平存在差异。雨水收集（80%）、作物多样化（71%）、保护性农业（68%）和土壤保持（68%）的认知度最高，而耐旱作物品种（57%）、气候信息服务（55%）和改良牲畜管理（49%）的认知度相对较低。研究进一步识别出农民对变革的抵触、资金资源不足以及推广材料有限是限制气候智慧型农业采用的主要障碍。单因素方差分析表明，资金约束、市场准入、气候智慧型农业技术知识和推广支持是影响采用决策的统计显著因素（p \u003C 0.05）。","2026-09-21T00:00:00Z",63,{"impact":180,"substance":18,"depth":19,"authority":20,"freshness":117,"relevant":21,"comment":181},8,"以南非东开普省两个村庄158户小农为样本，量化了气候智慧农业采纳的显著影响因素，方法规范、数据具体，但属区域案例研究，公共影响层级有限。",[183],{"name":10,"url":174},[26,185,186,28,187],"气候智慧农业","技术采纳","推广服务",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[190],{"code":149,"slug":191,"name":192,"path":193,"parent_code":194},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":196},{"candidates":197,"agricultural_evidence":47},[198,202,208,215,222,229,233,238],{"code":32,"score":17,"supported":47,"title":199,"abstract":200,"tags":201},[55],[26],[26],{"code":131,"score":203,"supported":47,"title":204,"abstract":206,"tags":207},11,[205],"smart agriculture",[205],[],{"code":149,"score":13,"supported":47,"title":209,"abstract":210,"tags":214},[],[211,212,213],"气候变化","climate change","drought",[185],{"code":216,"score":59,"supported":47,"title":217,"abstract":218,"tags":221},"A8",[],[219,220],"粮食安全","food security",[],{"code":223,"score":59,"supported":47,"title":224,"abstract":225,"tags":228},"H2",[],[226,227],"土壤","soil",[],{"code":45,"score":67,"supported":47,"title":230,"abstract":231,"tags":232},[],[49],[],{"code":66,"score":67,"supported":47,"title":234,"abstract":235,"tags":237},[],[236],"conservation agriculture",[],{"code":239,"score":21,"supported":14,"title":240,"abstract":241,"tags":242},"G1",[],[],[186],[244,245],"Eastern Cape 小农户 气候智慧农业","Raymond Mhlaba 农业技术采纳","EasternCape小农户气候智慧农业-3148","10.3389\u002Ffsufs.2026.1869050",{"doi":247,"openalex_id":249,"authors":250,"venue":10,"cited_by_count":95,"oa_url":174,"card":259,"direction":264,"ingested_from":102},"W7213921129",[251,253,256],{"name":252,"orcid":9},"Sibonise Lufume",{"name":254,"orcid":255},"L. Gwala","https:\u002F\u002Forcid.org\u002F0000-0002-0186-050X",{"name":257,"orcid":258},"Leocadia Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-0344-4710",{"tldr":260,"method":261,"finding":262,"direction":100,"opportunity":263},"研究南非东开普省小农户对气候智慧型农业的认知、障碍及影响因素。","对158户小农问卷调查，用描述统计与单因素方差分析。","农户认知较高但采用不均，资金、市场、知识与推广支持显著影响采用。","可探索气候信息服务与推广数字化如何降低小农采用气候智慧型农业的障碍。","智慧农业 \u002F 农业物联网","2026-09-22T23:30:08.462412Z",{"id":267,"title":268,"url":269,"summary":270,"summary_zh":271,"content":9,"source_name":10,"source_url":269,"published_at":177,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":272,"score_detail":273,"sources":277,"tags":279,"primary_topic":282,"secondary_topics":287,"classification":289,"search_phrases":310,"slug":313,"view_count":21,"doi":314,"paper":315,"created_at":332},3143,"Underutilised indigenous crop adoption and household food security: evidence from a cross-sectional study of smallholder farmers in South Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1939658","Introduction Underutilised indigenous crops (UICs) are increasingly recognised in South Africa as a potential component of resilient and nutrition-sensitive agricultural systems. However, policy recognition has not been matched by sufficient household-level evidence on the extent and distribution of UIC adoption, the factors associated with adoption, or the relationship between UIC adoption and household food access insecurity among smallholder farming households in South Africa. Methods A quantitative, cross-sectional observational design was used among 205 smallholder farming households in KwaZulu-Natal and the Eastern Cape. Household food-access insecurity was measured using the Household Food Insecurity Access Scale (HFIAS). Logistic regression, ordinary least squares regression, propensity-score matching, chi-square tests, and descriptive analysis were used to examine adoption patterns, associated factors, and food-access security outcomes. Results UIC adoption was reported by 70.2% of respondents, with pumpkin, cowpeas, and amaranth among the most widely cultivated crops. Adopting households had lower mean HFIAS scores than non-adopting households and were less likely to be classified as severely food insecure. In the OLS model, adoption was negatively associated with HFIAS scores ( β = −2.10, p = 0.007). Propensity-score matching also estimated a lower HFIAS score among adopters than among matched non-adopters (ATT = −2.15, p = 0.006). Water sufficiency, group membership, extension contact, education, and household size were associated with food-access security. Discussion The findings indicate that UIC adoption is associated with better household food-access security, but the cross-sectional observational design does not establish a causal effect. Promoting UICs may contribute to nutrition-sensitive agricultural development when accompanied by enabling conditions such as reliable water access, extension support, social capital, and productive resources.","引言 在南非，未被充分利用的本土作物（underutilised indigenous crops, UICs）日益被视为具有韧性和营养敏感性的农业系统的潜在组成部分。然而，政策层面的认可与充分的家庭层面证据之间仍存在差距，这些证据涉及UIC采用的程度与分布、与采用相关的因素，以及UIC采用与南非小农家庭食物获取不安全状况之间的关系。方法 本研究采用定量、横断面观察性设计，在夸祖鲁-纳塔尔省和东开普省的205个小农家庭中开展调查。家庭食物获取不安全状况采用家庭食物不安全获取量表（Household Food Insecurity Access Scale, HFIAS）进行测量。研究运用逻辑回归、普通最小二乘回归、倾向得分匹配、卡方检验和描述性分析，考察采用模式、相关因素及食物获取安全结果。结果 70.2%的受访者报告采用了UIC，其中南瓜、豇豆和苋菜是种植最广泛的作物。采用UIC的家庭HFIAS平均得分低于未采用家庭，且被归类为严重食物不安全的可能性更低。在OLS模型中，采用UIC与HFIAS得分呈负相关（β = −2.10，p = 0.007）。倾向得分匹配也估计出采用者的HFIAS得分低于匹配后的非采用者（ATT = −2.15，p = 0.006）。水资源充足性、群体成员身份、推广接触、教育程度和家庭规模与食物获取安全相关。讨论 研究结果表明，UIC采用与更好的家庭食物获取安全相关，但横断面观察性设计无法确立因果效应。在具备可靠水资源获取、推广支持、社会资本和生产性资源等有利条件的情况下，推广UIC可能有助于营养敏感型农业发展。",71,{"impact":17,"substance":274,"depth":275,"authority":20,"freshness":180,"relevant":21,"comment":276},21,17,"以南非205户小农为样本的实证研究，方法规范、数据具体，但属区域案例，对国内三农信息化参考价值有限。",[278],{"name":10,"url":269},[219,26,280,28,281],"农业推广","本土作物",{"code":216,"slug":283,"name":284,"path":285,"parent_code":286},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[288],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":290},{"candidates":291,"agricultural_evidence":47},[292,296,300,306],{"code":32,"score":17,"supported":47,"title":293,"abstract":294,"tags":295},[55],[55],[26],{"code":216,"score":117,"supported":47,"title":297,"abstract":298,"tags":299},[220],[],[219],{"code":301,"score":67,"supported":47,"title":302,"abstract":303,"tags":305},"H3",[],[304],"水资源",[],{"code":239,"score":21,"supported":14,"title":307,"abstract":308,"tags":309},[],[],[280],[311,312],"南非 小农户 本土作物","KwaZulu-Natal 粮食安全","南非小农户本土作物-3143","10.3389\u002Ffsufs.2026.1939658",{"doi":314,"openalex_id":316,"authors":317,"venue":10,"cited_by_count":95,"oa_url":269,"card":327,"direction":100,"ingested_from":102},"W7213867432",[318,320,323,324],{"name":319,"orcid":9},"Glen Themba Mendi",{"name":321,"orcid":322},"Jan Willem Swanepoel","https:\u002F\u002Forcid.org\u002F0000-0002-0812-2657",{"name":90,"orcid":91},{"name":325,"orcid":326},"Oluwasogo David Olorunfemi","https:\u002F\u002Forcid.org\u002F0000-0002-3524-4262",{"tldr":328,"method":329,"finding":330,"direction":100,"opportunity":331},"研究南非小农户采用未充分利用本土作物与家庭食物安全的关系。","对205户小农户横截面调查，用HFIAS、逻辑回归和倾向得分匹配分析。","70.2%农户采用本土作物，采用者食物不安全评分显著更低。","可结合数字推广与遥感监测，评估本土作物采用对食物安全的长期因果效应。","2026-09-22T23:30:07.989696Z",{"id":334,"title":335,"url":336,"summary":337,"summary_zh":338,"content":9,"source_name":339,"source_url":336,"published_at":340,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":341,"score_detail":342,"sources":344,"tags":346,"primary_topic":350,"secondary_topics":351,"classification":358,"search_phrases":374,"slug":377,"view_count":95,"doi":378,"paper":379,"created_at":394},5592,"Evaluation of Concept-Rank Collapse Audits for Computer Vision Agriculture Disease Classifiers Under Low-Label Regimes: An Interpretability Capacity Bound for Smallholder Fungicide Selectivity","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545193","Concept-based interpretability methods for plant-disease classifiers are typically evaluated by whether their concept activations correlate with human-annotated labels, but this criterion is silent on a prior question: whether the classifier's internal representation retains enough concept-rank structure for any audit to be informative. the present analysis formalises that prior question as an interpretability capacity bound. A classifier is modelled as a concept-rank operator whose singular values govern how much concept-level signal survives the projection from pixel space to class logits, and a collapse audit is defined as the ratio of retained concept-rank energy to total concept energy. Under a low-label regime, where concept annotations are scarce and the audit must be estimated from few labelled examples, the bound predicts that audit reliability degrades as a function of the concept-rank spectrum and the label budget. The analysis is a theoretical and methodological contribution: it derives the bound, states the conditions under which a collapse audit is identifiable, and characterises the operating characteristics of the audit as a decision procedure under a declared variance structure (between-cluster SD = 6.0, residual SD = 4.5, intraclass correlation = 0.64). Power was estimated across 2000 design cells for cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points; 52 clusters were required for 5 percentage points at 80% power. The bound reframes concept audits as capacity tests rather than fidelity tests, with consequences for how smallholder fungicide-selectivity decisions should be supported by interpretable disease classifiers.","面向植物病害分类器的基于概念的可解释性方法，通常以其概念激活是否与人工标注标签相关作为评价标准，但该标准对一个更先前的问题保持沉默：分类器的内部表征是否保留了足够的概念秩结构，从而使任何审计具有信息量。本分析将该先前问题形式化为一个可解释性容量上界。分类器被建模为概念秩算子，其奇异值支配着从像素空间到类别logits的投影中概念级信号得以保留的程度，并将坍缩审计定义为保留的概念秩能量与总概念能量之比。在低标签情形下，概念标注稀缺且审计必须由少量标注样本估计，该上界预测审计可靠性会随概念秩谱和标签预算的函数而退化。本分析是一项理论和方法论贡献：推导出该上界，陈述坍缩审计可识别的条件，并在声明的方差结构（簇间SD = 6.0，残差SD = 4.5，组内相关系数 = 0.64）下刻画审计作为决策程序的操作特征。在2000个设计单元中，针对簇数为8、16、24和32以及效应量为3、5和8个百分点的情形估计了功效；在80%功效下达到5个百分点需要52个簇。该上界将概念审计重新框定为容量检验而非保真度检验，并对可解释病害分类器应如何支持小农杀菌剂选择性决策具有启示意义。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",69,{"impact":180,"substance":274,"depth":18,"authority":17,"freshness":13,"relevant":21,"comment":343},"理论方法论文，提出可解释性容量上界并给出审计功效分析，对智慧农业病害识别可信度有参考价值，但属小众方法学研究、缺乏田间实证，暂不宜进入每日精选。",[345],{"name":339,"url":336},[123,347,26,348,349],"农业人工智能","植物病害识别","可解释性",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[352],{"code":353,"slug":354,"name":355,"path":356,"parent_code":357},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":39,"locked":14,"version":40,"method":41,"evidence":359},{"candidates":360,"agricultural_evidence":47},[361,365,370],{"code":32,"score":17,"supported":47,"title":362,"abstract":363,"tags":364},[55],[55],[26],{"code":353,"score":13,"supported":47,"title":366,"abstract":368,"tags":369},[367],"computer vision",[],[347,348],{"code":131,"score":21,"supported":14,"title":371,"abstract":372,"tags":373},[],[],[123],[375,376],"农业人工智能 植物病害识别 可解释性 智慧农业","农业人工智能 植物病害识别","农业人工智能植物病害识别可解释性智慧农业-5592","10.5281\u002Fzenodo.23545193",{"doi":378,"openalex_id":380,"authors":381,"venue":339,"cited_by_count":95,"oa_url":336,"card":388,"direction":392,"ingested_from":102},"W7223137323",[382,384,386],{"name":383,"orcid":9},"Akshay Ramgoolam",{"name":385,"orcid":9},"Priya Bundhoo Appadoo",{"name":387,"orcid":9},"Jean-Noël LEspérance",{"tldr":389,"method":390,"finding":391,"direction":392,"opportunity":393},"提出可解释性容量上界，评估低标签下概念秩崩溃审计的可靠性。","将分类器建模为概念秩算子，推导容量上界并做2000格功效模拟。","审计可靠性随概念秩谱与标签预算下降；5个百分点效应需52个聚类达80%功效。","农业人工智能与决策模型","可将容量上界用于小农户杀菌剂选择性决策的可解释模型审计与标签预算设计。","2026-10-22T11:21:10.425290Z",{"id":396,"title":397,"url":398,"summary":399,"summary_zh":400,"content":9,"source_name":339,"source_url":398,"published_at":340,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":401,"score_detail":402,"sources":404,"tags":406,"primary_topic":409,"secondary_topics":410,"classification":412,"search_phrases":427,"slug":430,"view_count":95,"doi":431,"paper":432,"created_at":446},5590,"Evaluation of Concept-Probe Temporal-Stability Audits for Computer Vision Agriculture Disease Classifiers Under Seasonal Phenology Drift: An Interpretability Decay Bound for Smallholder Fungicide Timing","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545234","Concept-probe audits are increasingly used to certify that a crop-disease classifier's internal representations track the pathological concepts a smallholder would act on, but a probe certified at one point in the season may silently decouple from those concepts as phenology shifts the visual statistics of the field. the present analysis treats that decoupling as a formal object. It defines a temporal-stability audit as a sequence of concept-probe accuracies measured across defined phenological windows, and it derives an interpretability decay bound: the rate at which probe accuracy can fall before the fungicide-timing decision it is meant to support becomes unreliable. The bound is expressed as a function of the probe's initial margin, the drift in concept prevalence between windows, and the classifier's sensitivity to the drifted features, and it yields a certified audit interval rather than a single-point certificate. The paper then characterises the operating characteristics of the audit design under a declared variance structure, using a replication-based evaluation of the before-after-control-impact estimator with between-cluster SD = 6.0, residual SD = 4.5 and intraclass correlation = 0.64. Power was estimated across 2000 design cells over cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points; 54 clusters were required for 5 percentage points at 80% power. The contribution is a decision-theoretic account of when a concept-probe certificate expires, and a design rule for scheduling re-audits across the season.","概念探针审计（concept-probe audit）日益被用于验证作物病害分类器的内部表征是否追踪小农户会据以采取行动的病理学概念，但在生长季某一时点获得认证的探针，可能随着物候变化改变田间的视觉统计特征而悄然与这些概念脱钩。本分析将这种脱钩视为一个形式化对象。它将时间稳定性审计（temporal-stability audit）定义为在既定物候窗口内测量的一系列概念探针准确率，并推导出一个可解释性衰减界限（interpretability decay bound）：即探针准确率在其所支持的杀菌剂施用时机决策变得不可靠之前所能下降的速率。该界限表示为探针初始裕度、窗口间概念流行率漂移以及分类器对漂移特征敏感度的函数，并给出一个经认证的审计区间而非单点认证。随后，本文在声明的方差结构下刻画该审计设计的运行特征，采用基于重复的前后对照影响估计量评估，其中组间标准差 = 6.0、残差标准差 = 4.5、组内相关系数 = 0.64。功效在 2000 个设计单元上估计，聚类数取 8、16、24 和 32，效应量取 3、5 和 8 个百分点；在 80% 功效下达到 5 个百分点需要 54 个聚类。本文的贡献在于从决策论角度阐明概念探针认证何时失效，并给出在整个生长季内安排重新审计的设计规则。",70,{"impact":180,"substance":116,"depth":18,"authority":17,"freshness":13,"relevant":21,"comment":403},"该论文提出概念探针审计的时序稳定性框架与可解释性衰减界，方法新颖、统计设计扎实，但属小众方法论研究，产业影响有限，适合作为专业精选而非头条。",[405],{"name":339,"url":398},[123,347,26,407,408],"作物病害识别","模型审计",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[411],{"code":353,"slug":354,"name":355,"path":356,"parent_code":357},{"status":39,"locked":14,"version":40,"method":41,"evidence":413},{"candidates":414,"agricultural_evidence":47},[415,419,423],{"code":32,"score":19,"supported":47,"title":416,"abstract":417,"tags":418},[55],[26,55],[26],{"code":353,"score":13,"supported":47,"title":420,"abstract":421,"tags":422},[367],[],[407,347],{"code":131,"score":21,"supported":14,"title":424,"abstract":425,"tags":426},[],[],[123],[428,429],"概念探针 时序稳定性 作物病害分类器","杀菌剂 施药时机 可解释性衰减","概念探针时序稳定性作物病害分类器-5590","10.5281\u002Fzenodo.23545234",{"doi":431,"openalex_id":433,"authors":434,"venue":339,"cited_by_count":95,"oa_url":398,"card":441,"direction":392,"ingested_from":102},"W7223088030",[435,437,439],{"name":436,"orcid":9},"Abdi-Basid Idriss Farah",{"name":438,"orcid":9},"Amina Abdillahi Guedi",{"name":440,"orcid":9},"Moussa Omar Youssouf",{"tldr":442,"method":443,"finding":444,"direction":392,"opportunity":445},"提出概念探针时间稳定性审计与可解释性衰减界，判断何时需重新审计。","定义跨物候窗口探针精度序列，推导衰减界，用BACI复制评估统计功效。","5个百分点效应需54个聚类达80%功效，审计证书会随物候漂移过期。","可将衰减界与再审计调度规则嵌入小农户杀菌剂时机决策支持系统，并验证跨作物泛化。","2026-10-22T11:21:08.978348Z",{"id":448,"title":449,"url":450,"summary":451,"summary_zh":452,"content":9,"source_name":10,"source_url":450,"published_at":340,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":272,"score_detail":453,"sources":456,"tags":458,"primary_topic":463,"secondary_topics":464,"classification":465,"search_phrases":494,"slug":497,"view_count":95,"doi":498,"paper":499,"created_at":528},5548,"Agroecological transition in olive based farming systems among smallholder farms in northwestern Tunisia","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1903591","Agricultural intensification has increased production and economic growth but has also generated significant environmental and social challenges that threaten long-term sustainability, highlighting the need for more sustainable farming models. Agroecology offers a promising pathway to enhance resilience and support inclusive rural development. In this context, Tunisia’s olive sector provides a relevant case for examining agroecological transitions in semi-arid smallholder systems. This study evaluates the degree of agroecological transition among smallholder olive farms in the Elles region of northwestern Tunisia using the FAO Tool for Agroecology Performance Evaluation (TAPE). Based on a sample of 60 farms, the analysis applies the Characterization of Agroecological Transition (CAET) index, grounded in the 10 Elements of Agroecology, to compare four production systems: (i) olive monoculture, (ii) diversified cropping, (iii) olive–livestock integration, and (iv) integrated olive–crop–livestock systems. Economic, social, environmental and institutional performance were explored using the TAPE Core Criteria of Performance (Step 2) and examined in relation to CAET scores. Results reveal a clear agroecological gradient, with diversified and integrated systems achieving markedly higher CAET scores (up to 52%) compared to monoculture systems (31%). Spearman correlations show strong associations between CAET and key dimensions, including synergy (ρ = 0.79), human and social values (ρ = 0.78), and diversity (ρ = 0.71). Several TAPE economic performance indicators, including monthly income, which ranged from approximately 1,349 TND in monoculture systems to 4,892 TND in diversified olive–crop–livestock systems, were positively associated with higher CAET scores, suggesting that agroecological transition may not necessarily imply a trade-off between productivity and sustainability. However, limited collective action, weak market integration, and insufficient extension services constrain broader adoption. These findings highlight the potential of diversification as a key lever for agroecological transition and underscore the importance of targeted policy support.","农业集约化提高了产量并促进了经济增长，但也产生了威胁长期可持续性的重大环境与社会挑战，凸显了对更可持续耕作模式的需求。农业生态学为增强韧性和支持包容性农村发展提供了一条有前景的路径。在此背景下，突尼斯橄榄产业为研究半干旱小农系统中的农业生态转型提供了相关案例。本研究利用联合国粮农组织农业生态性能评价工具（TAPE），评估突尼斯西北部埃勒斯地区小农橄榄农场的农业生态转型程度。基于60个农场的样本，分析采用以农业生态学十大要素为基础的农业生态转型特征（CAET）指数，比较四种生产系统：（i）橄榄单作，（ii）多样化种植，（iii）橄榄—畜牧结合，以及（iv）橄榄—作物—畜牧综合系统。研究利用TAPE核心性能标准（第二步）探讨经济、社会、环境和制度绩效，并将其与CAET得分进行关联分析。结果揭示了明显的农业生态梯度，多样化与综合系统的CAET得分（最高达52%）显著高于单作系统（31%）。斯皮尔曼相关性分析显示，CAET与关键维度之间存在强关联，包括协同性（ρ = 0.79）、人文与社会价值（ρ = 0.78）和多样性（ρ = 0.71）。若干TAPE经济绩效指标——包括月收入，其从单作系统的约1，349突尼斯第纳尔到橄榄—作物—畜牧多样化系统的4，892突尼斯第纳尔不等——与更高的CAET得分呈正相关，表明农业生态转型未必意味着生产力与可持续性之间的权衡。然而，集体行动有限、市场整合薄弱和推广服务不足制约了更广泛的采纳。这些发现凸显了多样化作为农业生态转型关键杠杆的潜力，并强调了有针对性的政策支持的重要性。",{"impact":17,"substance":454,"depth":275,"authority":20,"freshness":117,"relevant":21,"comment":455},20,"基于FAO TAPE方法对突尼斯小农户橄榄系统农生态转型的实证研究，数据扎实、结论有新意，但属区域性案例，公共影响有限。",[457],{"name":10,"url":450},[26,459,460,461,462],"农业转型","生态农业","突尼斯","油橄榄",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":466},{"candidates":467,"agricultural_evidence":47},[468,472,476,480,485,490],{"code":32,"score":17,"supported":47,"title":469,"abstract":470,"tags":471},[55],[55],[26],{"code":45,"score":59,"supported":47,"title":473,"abstract":474,"tags":475},[],[51,49],[],{"code":36,"score":59,"supported":47,"title":477,"abstract":478,"tags":479},[],[62,63],[],{"code":143,"score":59,"supported":47,"title":481,"abstract":482,"tags":484},[],[146,483],"agroecology",[],{"code":149,"score":67,"supported":47,"title":486,"abstract":487,"tags":489},[],[488],"干旱",[],{"code":66,"score":21,"supported":14,"title":491,"abstract":492,"tags":493},[],[],[460],[495,496],"突尼斯 油橄榄 小农户","TAPE 农生态 评估","突尼斯油橄榄小农户-5548","10.3389\u002Ffsufs.2026.1903591",{"doi":498,"openalex_id":500,"authors":501,"venue":10,"cited_by_count":95,"oa_url":450,"card":522,"direction":526,"ingested_from":102},"W7223108121",[502,504,506,509,512,514,517,520],{"name":503,"orcid":9},"Rihab Mejri",{"name":505,"orcid":9},"Meriem Oueslati Zlaoui",{"name":507,"orcid":508},"Inès Gharbi","https:\u002F\u002Forcid.org\u002F0000-0003-2558-2134",{"name":510,"orcid":511},"Asma Souissi","https:\u002F\u002Forcid.org\u002F0000-0002-8680-5875",{"name":513,"orcid":9},"Ghada Ferchichi",{"name":515,"orcid":516},"Rania Soula","https:\u002F\u002Forcid.org\u002F0000-0002-6086-9176",{"name":518,"orcid":519},"Boubaker Dhehibi","https:\u002F\u002Forcid.org\u002F0000-0003-3854-6669",{"name":521,"orcid":9},"Mohamed Zied Dhraief",{"tldr":523,"method":524,"finding":525,"direction":526,"opportunity":527},"用FAO TAPE工具评估突尼斯西北小农橄榄农场生态农业转型程度。","FAO TAPE框架与CAET指数，调查60个农场比较四类种植系统。","多样化与综合系统CAET得分达52%，单作仅31%，且收入更高。","农业绿色发展与碳","可将TAPE与CAET指标数字化，构建小农生态转型监测与决策支持系统。","2026-10-22T11:20:15.716064Z"]