[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2120":3},{"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,"view_count":32,"doi":33,"paper":34,"created_at":51},2120,"Wild rice kernel inspection using a prompt-guided vision language model with evidence-grounded reasoning","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112392","Wild rice kernel inspection using a prompt-guided vision language model with evidence-grounded reasoning。Computers and Electronics in Agriculture","使用提示引导的视觉语言模型结合基于证据的推理进行野生稻谷粒检验。《计算机与电子农业》",null,"Computers and Electronics in Agriculture","2026-09-10T00:00:00Z","论文",10,false,75,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,20,17,14,8,1,"提出提示引导的视觉语言模型用于野生稻籽粒检测，方法新颖且发表于农业信息领域核心期刊，对智能育种与种子质检有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","农业人工智能","计算机视觉","水稻","种子检测",0,"10.1016\u002Fj.compag.2026.112392",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":9,"card":44,"direction":48,"ingested_from":50},"W7212185866",[37,39,42],{"name":38,"orcid":9},"Yinka Sikiru",{"name":40,"orcid":41},"Angshuman Thakuria","https:\u002F\u002Forcid.org\u002F0000-0003-4196-3770",{"name":43,"orcid":9},"Chyngyz Erkinbaev",{"tldr":45,"method":46,"finding":47,"direction":48,"opportunity":49},"用提示引导的视觉语言模型对野生稻米粒进行检测，并给出基于证据的推理。","提示引导的视觉语言模型，结合证据锚定推理，用于野生稻米粒图像检测。","该方法能实现野生稻米粒检测，并输出可解释的证据推理过程。","农业人工智能与决策模型","可探索视觉语言模型在作物种子\u002F米粒质检中的可解释性与少样本迁移能力。","openalex","2026-09-11T23:30:01.974562Z"]