[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3458":3,"related-3458":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},3458,"Economic performance of dairy farms in KwaZulu-Natal and implications for milk quality and hygiene interventions","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1897525","Dairy production contributes substantially to food security, employment and rural livelihoods, yet the economic performance of dairy enterprises in South Africa remains poorly documented. This study assessed the economic performance of dairy farms in KwaZulu-Natal and considered what the findings imply for investment in milk quality and hygiene interventions. Data were collected through structured face-to-face interviews conducted during on-farm visits to 37 dairy farms in November 2025. Descriptive statistics and cost–benefit analysis were used, with total costs, total benefits, net benefit, the Benefit–Cost Ratio (BCR) and Return on Investment (ROI) computed for each farm and then averaged across farms. Feed (ZAR 48,200 per month) and labour (ZAR 32,500 per month) were the largest components of total monthly costs of ZAR 127,200, indicating that resource allocation and labour efficiency play a significant role in farm profitability. Milk sales accounted for approximately 85% of total monthly revenue of ZAR 444,600, highlighting the dependence of farm income on milk quality and market acceptability. Mean net benefit was ZAR 317,400, mean BCR 3.92 and mean ROI 292.18%, indicating that dairy farming in the province is profitable under prevailing conditions. These averages nonetheless conceal substantial dispersion, with BCR ranging from 0.52 to 18.95 and ROI from −47.98% to 1,794.56%, and with some farms recording negative net benefits. This dispersion is consistent with differences in scale, management efficiency and hygiene compliance across farms. Only 12% of farm personnel had received formal hygiene training despite 84.7% reporting awareness of its importance, and farms received an average of 3.45 extension visits annually. Given the dominance of milk sales in revenue, this gap between awareness and technical capacity is a plausible target for intervention, although the returns to specific interventions were not measured in this study and require ex-ante appraisal.","奶业生产对粮食安全、就业和农村生计具有重要贡献，但南非奶业企业的经济表现仍缺乏系统记录。本研究评估了夸祖鲁-纳塔尔省奶牛养殖场的经济表现，并探讨了研究结果对乳品质量与卫生干预措施投资的启示。数据通过2025年11月对37个奶牛养殖场进行实地访问时开展的结构化面对面访谈收集。采用描述性统计和成本效益分析，计算每个养殖场的总成本、总收益、净收益、效益成本比（BCR）和投资回报率（ROI），然后取各养殖场的平均值。饲料（每月48,200兰特）和劳动力（每月32,500兰特）是每月总成本127,200兰特的最大组成部分，表明资源配置和劳动效率在养殖场盈利能力中发挥重要作用。牛奶销售约占总月收入444,600兰特的85%，凸显了养殖场收入对牛奶质量和市场接受度的依赖。平均净收益为317,400兰特，平均效益成本比为3.92，平均投资回报率为292.18%，表明该省奶牛养殖在当前条件下具有盈利能力。然而，这些平均值掩盖了较大的离散程度，效益成本比范围为0.52至18.95，投资回报率范围为−47.98%至1,794.56%，部分养殖场录得负净收益。这种离散性与各养殖场在规模、管理效率和卫生合规性方面的差异一致。尽管84.7%的养殖场人员报告了解卫生的重要性，但仅有12%接受过正规卫生培训，养殖场平均每年接受3.45次推广访问。鉴于牛奶销售在收入中的主导地位，意识与技术能力之间的这一差距是干预的合理目标，但本研究未测量具体干预措施的回报，尚需进行事前评估。",null,"Frontiers in Sustainable Food Systems","2026-09-24T00:00:00Z","论文",10,false,70,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,16,13,9,1,"基于37家南非奶牛场的成本效益实证研究，数据翔实但属区域案例，对国内农业信息化参考价值有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"成本效益分析","奶业经济","南非奶农","牛奶质量","卫生培训",[33,34],"成本效益分析 南非奶农 卫生培训 奶业经济","成本效益分析 南非奶农","成本效益分析南非奶农卫生培训奶业经济-3458",0,"10.3389\u002Ffsufs.2026.1897525",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":52,"direction":56,"ingested_from":58},"W7214206070",[41,43,46,49],{"name":42,"orcid":9},"Mduduzi Base",{"name":44,"orcid":45},"Lelethu Mdoda","https:\u002F\u002Forcid.org\u002F0000-0002-5402-1304",{"name":47,"orcid":48},"Ntuthuko Raphael Mkhize","https:\u002F\u002Forcid.org\u002F0000-0002-9164-2206",{"name":50,"orcid":51},"Minentle Lwando Mnukwa","https:\u002F\u002Forcid.org\u002F0000-0001-9828-1426",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"评估南非夸祖鲁-纳塔尔省37个奶牛场经济效益，并探讨对乳品质量与卫生干预投资的启示。","2025年11月对37个奶牛场结构化访谈，用成本效益分析计算BCR与ROI。","奶牛场平均盈利（BCR 3.92，ROI 292%），但农场间差异巨大，且仅12%人员受过卫生培训。","数字乡村与农业信息化","可构建农场经济效益与卫生合规、培训水平的关联模型，为精准干预提供决策支持。","openalex","2026-09-25T23:30:06.859347Z",{"total":22,"page":22,"page_size":22,"items":61},[62],{"id":63,"title":64,"url":65,"summary":66,"summary_zh":67,"content":9,"source_name":68,"source_url":65,"published_at":69,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":70,"score_detail":71,"sources":75,"tags":77,"search_phrases":82,"slug":85,"view_count":36,"doi":86,"paper":87,"created_at":108},3355,"AI and Sustainable Agriculture Through Cost–Benefit Analysis of Smart Irrigation Systems","https:\u002F\u002Fdoi.org\u002F10.22004\u002Fag.econ.412813","The advancing role of Artificial Intelligence (AI) and its application in agriculture have disrupted traditional agricultural practices, with smart irrigation systems representing one of the leading technologies enabling sustainable agriculture. Smart irrigation systems utilize real–time data, machine learning algorithms, and predictive analytics to better optimize irrigation water use, limit wasted resources, and improve the yields of crop products. The proposed research will assess the economic and environmental impacts of AI smart irrigation systems with a full costs–benefits analysis. The proposed research considers both the capital cost and operating cost of smart irrigation systems and compares these traditional irrigation practices while also examining the long–term benefits of potential water savings from Smart Irrigation Systems, expanded agricultural production, and reduced human labour. This will give context for measuring the impacts of Smart Irrigation Systems on farm businesses, including both opportunities and barriers to adoption. Additionally, using a formal literature review to lock down existing research and surveys of irrigation farmers to collect a field data set will provide the proposed researchers a collective sample to measure the efficacy of AI smart irrigation systems, identify barriers, compare opportunities, and measure performance under differing climate and soil properties. The research will find high and substantial respective levels of benefits from the implementation of AI–based smart systems, particularly in water–stressed systems with positive impacts on farm profitability, private, and environmental conservation. This research is essential for informing stakeholders of actions and the delivery of AI–enabled solutions in support of more sustainable agricultural practices.","人工智能（Artificial Intelligence, AI）的不断发展及其在农业中的应用已经颠覆了传统的农业实践，其中智能灌溉系统是实现可持续农业的领先技术之一。智能灌溉系统利用实时数据、机器学习算法和预测分析，更好地优化灌溉用水、减少资源浪费并提高作物产量。拟议研究将通过全面的成本效益分析，评估AI智能灌溉系统的经济和环境影响。该研究将综合考虑智能灌溉系统的资本成本和运营成本，并将其与传统灌溉实践进行比较，同时考察智能灌溉系统在潜在节水、扩大农业生产和减少人力劳动方面的长期效益。这将为衡量智能灌溉系统对农场经营的影响提供背景，包括采用的机会和障碍。此外，通过正式文献综述锁定现有研究成果，并对灌溉农户进行调查以收集实地数据集，将为拟议研究者提供一个集体样本，用以衡量AI智能灌溉系统的效能、识别障碍、比较机会，并评估在不同气候和土壤条件下的表现。研究发现，实施基于AI的智能系统可带来显著且可观的效益，尤其是在水资源紧张的地区，对农场盈利能力、私人利益和环境保护均有积极影响。这项研究对于向利益相关者通报行动方案以及推动AI赋能解决方案以支持更可持续的农业实践至关重要。","AgEcon Search (University of Minnesota, USA)","2026-09-23T00:00:00Z",77,{"impact":72,"substance":18,"depth":72,"authority":20,"freshness":73,"relevant":22,"comment":74},18,8,"该研究以成本效益分析评估AI智能灌溉的经济与环境效益，方法系统、结论具参考价值，但属学术论文而非政策或产业事件，适合作为智慧农业主题的深度补充。",[76],{"name":68,"url":65},[78,79,80,81,27],"智慧农业","农业人工智能","智能灌溉","节水农业",[83,84],"AI 智能灌溉 成本效益","AgEcon Search 智能灌溉","AI智能灌溉成本效益-3355","10.22004\u002Fag.econ.412813",{"doi":86,"openalex_id":88,"authors":89,"venue":68,"cited_by_count":36,"oa_url":65,"card":102,"direction":106,"ingested_from":58},"W7214115789",[90,92,94,96,98,100],{"name":91,"orcid":9},"Venkata Suman Jami",{"name":93,"orcid":9},"Purushotham Prasad Kalisetti",{"name":95,"orcid":9},"Sampath Dakshina Murthy A.",{"name":97,"orcid":9},"Gurunadha R.",{"name":99,"orcid":9},"Hema Mamidipaka",{"name":101,"orcid":9},"Gurrapu Omprakash",{"tldr":103,"method":104,"finding":105,"direction":106,"opportunity":107},"通过成本效益分析评估AI智能灌溉系统的经济与环境影响。","文献综述结合灌溉农户调查数据，进行成本效益分析。","AI智能灌溉在水资源紧张地区效益显著，提升利润并促进环保。","智慧农业 \u002F 农业物联网","可针对不同气候土壤条件，量化AI灌溉的长期采纳障碍与推广机制。","2026-09-24T23:30:10.558578Z"]