[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3213":3,"related-3213":66},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":8,"secondary_topics":32,"classification":33,"search_phrases":61,"slug":64,"view_count":41,"doi":8,"paper":8,"created_at":65},3213,"中国农业科学院第八届农科开放日启动——京内外36个院属单位、近570项最新农业科技成果集中亮相","https:\u002F\u002Fbri.caas.cn\u002Fxwdt\u002Fmtbd\u002F567406a0d8174ae0b7719e02e6ba5423.htm","9-19 中国农业科学院第八届农科开放日在北京中关村院区正式启动。本届农科开放日以\"农业科技赋能 点亮美好生活\"为主题，在第二个法定全国科普月和第九届农民丰收节之际举办。京内外36个院属单位结合自身特点，在分会场同步举办丰富多彩的科普活动，近570项最新农业科技成果集中亮相。中国农业科学院党组书记杨振海表示，坚持把科学技术普及放在与科技创新同等重要的位置，大力推动农业科技成果推广应用和宣传普及。在生物所\"植物CT\"展台，工作人员操作\"神奇透视相机\"为植物拍摄\"诊断照\"，并借助\"AI大脑\"实时监测植物缺水程度；正在研发的全球动物疾病风险大模型未来将对动物疫病实时预报预警。农科开放日自2019年举办以来，累计吸引4400万公众通过线上线下参与。",null,"### [经济日报新闻客户端] 第八届农科开放日展示近570项农业前沿科技成果\n\n发布时间：2026-09-20\n\n文章来源: 经济日报新闻客户端 发布时间：2026-9-19 记者：常理\n\n9月19日，中国农业科学院第八届农科开放日在北京中关村院区启动。\n\n本届农科开放日以“农业科技赋能 点亮美好生活”为主题，通过农业科技成果展示、科普互动体验、优良品种品鉴、青少年科学启蒙等系列活动，全方位、多角度展示中国农业科学院的科技硬实力与创新活力，让公众近距离接触前沿科技成果，了解农业科技赋能好“丰”景，感受农业科技支撑国家粮食安全的责任担当。\n\n本届农科开放日在第二个法定全国科普月和第九届农民丰收节之际举办，京内外36个院属单位结合自身特点，在分会场同步举办丰富多彩的科普活动，近570项最新农业科技成果集中亮相。农科开放日自2019年举办以来，已成为中国农业科学院开展农业科普的重要品牌活动，是公众了解农业科技进展、走进中国农科院的重要渠道，在全社会营造了关心、支持农业科技创新的良好氛围。\n\n在中国农业科学院生物技术研究所的“植物CT”展台，高科技元素格外吸睛，工作人员操作“神奇透视相机”为植物拍摄“诊断照”，并借助“AI大脑”实时监测植物的缺水程度，让参观者秒懂植物发出的“干渴信号”。\n\n在中国农业科学院植物保护研究所的植保知识小课堂内，科研人员紧扣社会关注热点开展专题科普宣讲。人大附中西山学校学生梁以沫在受访时表示：“通过‘三分钟识别外来入侵物种’科普，我认识了加拿大一枝黄花等危险入侵生物。”活动面向青少年及家长普及农业生物安全知识，引导全社会树牢生物安全风险防范意识，夯实农业生物安全的群众基础。\n\n中国农业科学院党组书记杨振海表示，中国农业科学院作为农业科研国家队，坚持把科学技术普及放在与科技创新同等重要的位置，大力推动农业科技成果推广应用和宣传普及，助力农业新质生产力发展，推动粮食和重要农产品丰产丰收，让更多农业科技成果走出实验室、走进田间地头、走近千家万户，为推进乡村全面振兴、加快建设农业强国提供有力支撑。","中国农业科学院","2026-09-19T00:00:00Z","报道",10,false,72,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,16,12,15,7,1,"国家级科研机构集中展示近570项农业科技成果，科普品牌活动，权威性强但属活动通稿，信息增量有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业人工智能","生物安全","农业科技","科普开放日","植物CT",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":42,"reason":60},[39,47,53],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":46},"C5",4,true,[],[45],"动物疫病",[28],{"code":48,"score":41,"supported":42,"title":49,"abstract":50,"tags":52},"I2",[],[51],"大模型",[27],{"code":54,"score":55,"supported":42,"title":56,"abstract":57,"tags":59},"J4",3,[],[58],"丰收节",[],"多个产业证据相当，需要确认主归属",[62,63],"中国农科院 农科开放日","植物CT AI大脑 植物监测","中国农科院农科开放日-3213","2026-09-23T00:04:28.965172Z",{"total":67,"page":22,"page_size":67,"items":68},6,[69,131,176,224,296,361],{"id":70,"title":71,"url":72,"summary":73,"summary_zh":8,"content":74,"source_name":75,"source_url":8,"published_at":76,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":77,"score_detail":78,"sources":84,"tags":86,"primary_topic":90,"secondary_topics":96,"classification":97,"search_phrases":126,"slug":129,"view_count":67,"doi":8,"paper":8,"created_at":130},4133,"2026中国农学会年会暨第十三届中国现代农业发展论坛将于11月在中山大学举办——广东省农科院协办","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F03\u002Fcontent_591575.html","2026中国农学会年会暨第十三届中国现代农业发展论坛将于11月26日—28日在中山大学广州校区举办，主题为「人工智能+」农业农村现代化。中国农学会、农业农村部人力资源开发中心为主办单位，中山大学承办，广东省农业科学院等协办。会议将发布《2026全球农业科技热点前沿》《2026中国涉农企业创新报告》《2026农业领域重大科学问题产业技术问题》《2024—2026基础农学学科发展报告》《2026中国农业重大新技术新产品新场景》《2026年度农业「火花技术」》等成果。","![Image 2](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Fshare_logo.jpg)\n\n[![Image 3](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Flogo.png)](http:\u002F\u002Fwww.stdaily.com\u002F)\n\n*   [时政](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fszxw\u002Fnode_357.html)\n*   [热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n*   [政务](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fzwxw\u002Fnode_362.html)\n*   [深瞳](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fstbd\u002Fnode_434.html)\n*   [访谈](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Ffangtan\u002Fnode_441.html)\n*   [视频](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fspxw\u002Fnode_701.html)\n*   [国际](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgjxw\u002Fnode_381.html)\n*   [地方](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fdfxw\u002Fnode_368.html)\n*   [专题](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fztxw\u002Fnode_335.html)\n*   [English](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002FEnglish\u002Findex.html)\n*   [滚动](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fnode_324.html)\n\n[![Image 4](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Ffdj.png)](https:\u002F\u002Fsearch.stdaily.com:8888\u002Ffounder\u002FNewSearchServlet.do?siteID=1)[登录](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html?url=https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F03\u002Fcontent_591575.html)[-](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html)\n\n 所在位置： [中国科技网首页](https:\u002F\u002Fwww.stdaily.com\u002Findex.html)>[滚动](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fnode_324.html)> 正文 \n\n# 2026中国农学会年会暨第十三届中国现代农业发展论坛将于11月举办\n\n 2026-10-03 14:43:14 来源: 科技日报 点击数：\n\n![Image 5](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimg\u002F20240301dzv.png)0\n\n[](javascript:; \"新浪微博\")[](javascript:; \"微信\")\n\n科技日报记者 马爱平\n\n记者获悉，2026中国农学会年会暨第十三届中国现代农业发展论坛将于11月26日—28日在中山大学广州校区举办。\n\n本次会议主题为“人工智能+”农业农村现代化。中国农学会、农业农村部人力资源开发中心为主办单位，中山大学为承办单位，中国作物学会、中国土壤学会、华南农业大学、广东省农业科学院、仲恺农业工程学院为协办单位。\n\n据悉，本次会议主会场包括主旨报告与院士报告、成果发布、新场景路演、前沿对话、创新成果展示等活动；分会场包括若干场专题活动。院士专家将围绕世界科技前沿发展态势、人工智能赋能农业农村各领域发展、各专业领域最新研究进展等作前沿报告。会议将发布《2026全球农业科技热点前沿》《2026中国涉农企业创新报告》《2026农业领域重大科学问题产业技术问题》《2024—2026基础农学学科发展报告》《2026中国农业重大新技术新产品新场景》《2026年度农业“火花技术”》等成果，举行学会英文科技新刊首发式。\n\n据介绍，本次会议将选择具有典型意义和示范引领作用，由企业主导的2026农业新场景进行现场路演，突出企业科技创新主体地位。聚焦人工智能农业深度应用，特邀企业、金融、教育、科研等领域的代表对话交流，分享人工智能赋能农业农村现代化的实际案例和前沿思考，促进人工智能与农业发展相结合。设置提升农业综合生产能力和质量效益、强化农业科技装备支撑、推进农业绿色低碳转型与可持续发展、践行大食物观构建多元化食物供给体系、和美乡村建设与全球农业合作以及夯实乡村人才基础、提升科学传播效能等6大板块31场专题活动。设置农业科技创新成果展示专区，采用展板与小型实物相结合的方式集中展示有代表性的农业科技成果，包括近年来入选的农业新技术新产品新场景、农业主导品种主推技术、重大引领性技术、“火花技术”等部分重大科技成果以及公开征集的相关成果，助推农业科技成果高效转化应用。\n\n责任编辑：陈可轩\n\n相关稿件：\n\n![Image 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3.暂不升级，继续浏览\n\n[继续浏览](javascript:;)","科技日报·2026年10月3日","2026-10-03T00:00:00Z",79,{"impact":79,"substance":80,"depth":81,"authority":81,"freshness":82,"relevant":22,"comment":83},24,18,14,9,"全国性农业科技年会预告，主题聚焦人工智能赋能农业农村，含成果发布与路演安排，信息量足、时效新，值得进入每日精选。",[85],{"name":75,"url":72},[87,27,88,29,89],"智慧农业","成果转化","学术会议",{"code":91,"slug":92,"name":93,"path":94,"parent_code":95},"J3","global-agriculture","国际合作与全球农业","\u002Ftopic\u002Fpolicy\u002Fglobal-agriculture","J",[],{"status":98,"locked":14,"version":35,"method":36,"evidence":99},"classified",{"candidates":100,"agricultural_evidence":42},[101,107,112,117,122],{"code":102,"score":55,"supported":42,"title":103,"abstract":104,"tags":106},"J2",[],[105],"农业农村现代化",[],{"code":91,"score":55,"supported":42,"title":108,"abstract":109,"tags":111},[],[110],"全球农业",[],{"code":113,"score":22,"supported":14,"title":114,"abstract":115,"tags":116},"G1",[],[],[88],{"code":118,"score":22,"supported":14,"title":119,"abstract":120,"tags":121},"I1",[],[],[87],{"code":48,"score":22,"supported":14,"title":123,"abstract":124,"tags":125},[],[],[27],[127,128],"中国农学会年会 中山大学","人工智能 农业农村现代化 论坛","中国农学会年会中山大学-4133","2026-10-04T00:09:07.062175Z",{"id":132,"title":133,"url":134,"summary":135,"summary_zh":8,"content":136,"source_name":137,"source_url":8,"published_at":138,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":139,"score_detail":140,"sources":143,"tags":145,"primary_topic":149,"secondary_topics":155,"classification":156,"search_phrases":171,"slug":174,"view_count":55,"doi":8,"paper":8,"created_at":175},2891,"上海市农科院承办第二届农业转基因检测青年学术交流会9-17上海召开:发布全国首个生物育种AI科普智能体","https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fzhxx\u002Fcontent_56868","9月16-18日,第二届农业转基因检测青年学术交流会在上海召开,由农业农村部科技发展中心指导、上海市农科院承办。主题智测未来青年担当,全国检测机构、高校、科研院所及育种企业代表参会。市农科院副院长沈晓晖介绍上海市首个农业生物安全数字子系统和全国首个生物育种AI科普智能体进展。北京市农林科学院郑文刚研究员和南京农业大学金时超副教授作主旨报告。","9月17日，第二届农业转基因检测青年学术交流会在上海召开。本次会议由农业农村部科技发展中心指导、我院主办，以“智测未来，青年担当”为主题，汇聚了来自全国检测机构、高校、科研院所及育种企业的代表，共研前沿技术、共商体系建设、共育青年人才。我院党委委员、副院长沈晓晖，农业农村部科技发展中心转基因生物安全检定处处长陈红，上海市农业农村委员会科学技术处副处长梁丽君出席会议并致辞。\n\n沈晓晖对与会嘉宾表示欢迎，并介绍了我院在农业生物安全数字化子系统建设、智能科普和标准研制等方项取得的进展。他指出，现代生物技术加速迭代、生物育种产业化深入推进，对检测技术的精准度、高效性及智能化水平提出了更高要求，期望广大青年科技工作者永葆创新锐气，勇攀科技高峰；坚持科学本心、恪守科学精神；深化协同聚力，勇担时代使命，为健全农业生物安全体系提供创新支撑。\n\n![Image 1: 微信图片_20260917160707_27_10](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F18\u002Fd9313765796d4b14a0ff0605b0bdae5e.jpg)\n\n陈红总结了农业转基因检测青年委员会成立一年来在技术、产品、装备、政策及科普等方面取得的成果，提出应以“智测未来”为指引，全方位推动检测技术、装备、数据及人才的智能化升级，加快前沿研究成果向标准、装备和产品转化落地。梁丽君表示，上海将持续提升农业生物安全科技支撑能力，为全国农业生物安全监管和生物育种产业健康发展贡献更多上海智慧、上海经验。\n\n![Image 2: 微信图片_20260917160949_30_10](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F18\u002F11b0b9fb62704a7fbb26a75104d1ead8.jpg)\n\n会上，郑文刚研究员、金时超副教授分别围绕作物表型研究、作物时空表型组学检测技术作主旨报告。随后，农业转基因检测青年委员会下设的5个专项工作组集中展示了在前沿技术跟踪、产品研发评估、装备攻关、政策研究及宣传推广等方面的工作进展。在信息化系统建设专题研讨中，各部级检测机构经深入交流，在统一数据规范、强化过程溯源、推动互联互通等方面达成共识。\n\n![Image 3: 图片1](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F18\u002F051d72c1f1984b15a0548bafdf62bc78.png)\n\n![Image 4: 4](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F18\u002Ff40ada96f93142bca7dd8b8890942a97.png)\n\n青年学术交流环节，7位青年科技人员围绕转基因作物筛查、标准物质研制、可视化核酸检测、核酸质谱、植物纳米递送、作物抗虫性研究及环境安全评价等方向分享了最新研究成果。谢家建研究员、任鲁风研究员和付伟研究员围绕学术报告进行点评，建议青年科技人员应产业需求规划科技创新方向，加强跨团队协同，重视数据积累与标准化建设，推动科研成果转化应用。\n\n![Image 5: 3](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F18\u002F69c3d3d80d2343b491d77d003cf38902.png)\n\n会议期间，《转基因检测专刊》正式发布。该专刊集中展示了领域内的新技术、新方法与新成果，为推动成果传播应用、深化学术交流、支撑青年人才成长搭建了专业平台。\n\n![Image 6: 微信图片_20260917161441_32_10](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F18\u002F1970914285d14479b6a1935d09281152.jpg)\n\n闭幕式上，我院科研管理处处长刘佩红作总结讲话。她表示，我院将进一步深化与全国各检测机构、高校及科研院所的协同合作，实现优势互补；推动检测技术与数字技术、人工智能深度融合；持续强化青年人才培养，为农业生物安全事业发展贡献力量。\n\n本次会议由上海市农业科学院生物技术研究所、农业农村部农业转基因生物安全评价（环境）重点实验室、上海市农业生物安全评价与检测专业技术服务平台、上海市农业遗传育种重点实验室共同承办。\n\n![Image 7: 微信图片_20260917163245_38_10](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F18\u002F3683ec0cf4b8492b967bdf5f2d17d1df.jpg)","上海市农业科学院","2026-09-18T00:00:00Z",68,{"impact":80,"substance":18,"depth":19,"authority":141,"freshness":82,"relevant":22,"comment":142},13,"全国性行业学术会议，发布首个生物育种AI科普智能体与转基因检测专刊，具备一定行业参考价值。",[144],{"name":137,"url":134},[27,146,28,147,148],"生物育种","转基因检测","青年人才",{"code":150,"slug":151,"name":152,"path":153,"parent_code":154},"F2","biotechnology","生物育种与基因技术","\u002Ftopic\u002Finputs-equipment\u002Fbiotechnology","F",[],{"status":98,"locked":14,"version":35,"method":36,"evidence":157},{"candidates":158,"agricultural_evidence":42},[159,163,167],{"code":150,"score":141,"supported":42,"title":160,"abstract":161,"tags":162},[146],[146],[146,147],{"code":40,"score":22,"supported":14,"title":164,"abstract":165,"tags":166},[],[],[28],{"code":48,"score":22,"supported":14,"title":168,"abstract":169,"tags":170},[],[],[27],[172,173],"上海农科院 转基因检测 青年学术交流会","生物育种 AI科普智能体","上海农科院转基因检测青年学术交流会-2891","2026-09-19T00:06:06.866786Z",{"id":177,"title":178,"url":179,"summary":180,"summary_zh":8,"content":8,"source_name":181,"source_url":8,"published_at":182,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":183,"score_detail":184,"sources":187,"tags":189,"primary_topic":192,"secondary_topics":193,"classification":194,"search_phrases":218,"slug":221,"view_count":222,"doi":8,"paper":8,"created_at":223},2836,"上海市农科院承办第二届农业转基因检测青年学术交流会:建立上海市首个农业生物安全数字子系统","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20260917A0C93E00","9月16日至18日,第二届农业转基因检测青年学术交流会在上海举行,由农业农村部科技发展中心指导、上海市农业科学院承办。市农科院副院长沈晓辉介绍,近一年来,市农科院建立起上海市首个农业生物安全数字子系统,推出全国首个生物育种AI科普智能体;承担多项转化体分子特征检测和环境安全评价,高质量完成验证检测与评价任务;开展检测标准研制、标准方法循环验证等工作。会议期间正式发布《转基因检测专刊》,推动优秀成果传播转化。","腾讯新闻 \u002F 上海农业科学院","2026-09-17T00:00:00Z",73,{"impact":80,"substance":185,"depth":81,"authority":19,"freshness":82,"relevant":22,"comment":186},20,"省级科研机构承办的全国性学术交流会，发布首个农业生物安全数字子系统与生物育种AI科普智能体，具备实质信息增量，值得进入每日精选。",[188],{"name":181,"url":179},[190,27,191,28,147],"数字农业","种业振兴",{"code":150,"slug":151,"name":152,"path":153,"parent_code":154},[],{"status":98,"locked":14,"version":35,"method":36,"evidence":195},{"candidates":196,"agricultural_evidence":42},[197,201,205,210,214],{"code":150,"score":41,"supported":42,"title":198,"abstract":199,"tags":200},[],[146],[147],{"code":40,"score":22,"supported":14,"title":202,"abstract":203,"tags":204},[],[],[28],{"code":206,"score":22,"supported":14,"title":207,"abstract":208,"tags":209},"F1",[],[],[191],{"code":118,"score":22,"supported":14,"title":211,"abstract":212,"tags":213},[],[],[190],{"code":48,"score":22,"supported":14,"title":215,"abstract":216,"tags":217},[],[],[27],[219,220],"农业人工智能 转基因检测 数字农业 生物安全","农业人工智能 转基因检测","农业人工智能转基因检测数字农业生物安全-2836",2,"2026-09-18T00:03:28.203787Z",{"id":225,"title":226,"url":227,"summary":228,"summary_zh":229,"content":8,"source_name":230,"source_url":227,"published_at":231,"category":232,"cover_url":8,"hotness":13,"is_selected":14,"score":233,"score_detail":234,"sources":238,"tags":240,"primary_topic":244,"secondary_topics":250,"classification":256,"search_phrases":273,"slug":276,"view_count":277,"doi":278,"paper":279,"created_at":295},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","论文",69,{"impact":235,"substance":236,"depth":80,"authority":19,"freshness":13,"relevant":22,"comment":237},8,21,"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。",[239],{"name":230,"url":227},[87,27,241,242,243],"小农户","植物病害识别","可解释性",{"code":245,"slug":246,"name":247,"path":248,"parent_code":249},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[251],{"code":48,"slug":252,"name":253,"path":254,"parent_code":255},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":98,"locked":14,"version":35,"method":36,"evidence":257},{"candidates":258,"agricultural_evidence":42},[259,264,269],{"code":245,"score":19,"supported":42,"title":260,"abstract":262,"tags":263},[261],"smallholder",[261],[241],{"code":48,"score":13,"supported":42,"title":265,"abstract":267,"tags":268},[266],"computer vision",[],[27,242],{"code":118,"score":22,"supported":14,"title":270,"abstract":271,"tags":272},[],[],[87],[274,275],"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",0,"10.5281\u002Fzenodo.23545193",{"doi":278,"openalex_id":280,"authors":281,"venue":230,"cited_by_count":277,"oa_url":227,"card":288,"direction":292,"ingested_from":294},"W7223137323",[282,284,286],{"name":283,"orcid":8},"Akshay Ramgoolam",{"name":285,"orcid":8},"Priya Bundhoo Appadoo",{"name":287,"orcid":8},"Jean-Noël LEspérance",{"tldr":289,"method":290,"finding":291,"direction":292,"opportunity":293},"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。","openalex","2026-10-22T11:21:10.425290Z",{"id":297,"title":298,"url":299,"summary":300,"summary_zh":301,"content":8,"source_name":230,"source_url":299,"published_at":231,"category":232,"cover_url":8,"hotness":13,"is_selected":14,"score":233,"score_detail":302,"sources":304,"tags":306,"primary_topic":310,"secondary_topics":316,"classification":318,"search_phrases":343,"slug":346,"view_count":277,"doi":347,"paper":348,"created_at":360},5591,"Hierarchical Conformal Risk Control for Artificial Intelligence Agriculture Irrigation Scheduling Under Unmodeled Infiltration: A Computer Safety-Guarantee Evaluation","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23543665","Irrigation scheduling algorithms that rely on soil-moisture forecasts are vulnerable to unmodeled infiltration, the process by which water bypasses the root zone through preferential pathways that resistance-based soil models cannot represent. The framework is evaluated through a replication-based design study that characterises the operating characteristics of the before-after-control-impact estimator used to audit scheduler performance, under a declared variance structure with between-cluster standard deviation 6.0, residual standard deviation 4.5 and intraclass correlation 0.64. Power was estimated across 2000 design cells spanning cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points. The analysis indicates that 54 clusters are required to detect a 5-percentage-point effect at 80% power, and that the minimum detectable effect declines steeply as cluster count rises from 8 to 32. The contribution is a formal safety guarantee for irrigation decision support that remains valid when the infiltration model is wrong, together with an audit design that makes the guarantee empirically checkable.","依赖土壤湿度预报的灌溉调度算法容易受到未建模入渗的影响，即水分通过优先路径绕过根区的过程，而基于阻力的土壤模型无法表征这一过程。该框架通过一项基于重复的设计研究进行评估，该研究刻画了用于审计调度器性能的前后对照影响估计量的运行特性，其所依据的声明方差结构为：组间标准差6.0、残差标准差4.5、组内相关系数0.64。功效估计覆盖2000个设计单元，涵盖聚类数8、16、24和32以及效应量3、5和8个百分点。分析表明，在80%功效下检测5个百分点效应需要54个聚类，且最小可检测效应随聚类数从8增至32而急剧下降。本文的贡献在于为灌溉决策支持提供了一种正式的安全保证，该保证在入渗模型错误时仍然有效，同时提出了一种使该保证可经实证检验的审计设计。",{"impact":235,"substance":17,"depth":80,"authority":19,"freshness":82,"relevant":22,"comment":303},"该研究提出在入渗模型失配条件下仍有效的灌溉决策安全保证框架，并给出可审计的试验设计，方法新颖、结论可靠，但属细分方法学研究，产业影响有限，适合作为专业精选而非头条。",[305],{"name":230,"url":299},[87,27,307,308,309],"灌溉决策","安全保证","试验设计",{"code":311,"slug":312,"name":313,"path":314,"parent_code":315},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[317],{"code":48,"slug":252,"name":253,"path":254,"parent_code":255},{"status":98,"locked":14,"version":35,"method":36,"evidence":319},{"candidates":320,"agricultural_evidence":42},[321,326,332,339],{"code":311,"score":20,"supported":42,"title":322,"abstract":323,"tags":325},[312],[324,312],"灌溉",[307],{"code":48,"score":19,"supported":42,"title":327,"abstract":329,"tags":331},[328],"artificial intelligence",[330],"decision support",[27],{"code":333,"score":67,"supported":42,"title":334,"abstract":335,"tags":338},"H2",[],[336,337],"土壤","soil",[],{"code":118,"score":22,"supported":14,"title":340,"abstract":341,"tags":342},[],[],[87],[344,345],"灌溉调度 安全保证","农业人工智能 安全保证 智慧农业 灌溉决策","灌溉调度安全保证-5591","10.5281\u002Fzenodo.23543665",{"doi":347,"openalex_id":349,"authors":350,"venue":230,"cited_by_count":277,"oa_url":299,"card":355,"direction":292,"ingested_from":294},"W7223131205",[351,353],{"name":352,"orcid":8},"Nassima Benkhelifa",{"name":354,"orcid":8},"Yacine Aït Ahmed",{"tldr":356,"method":357,"finding":358,"direction":292,"opportunity":359},"提出分层保形风险控制，为未建模入渗下的灌溉调度提供安全保证。","分层保形风险控制与基于重复设计的BACI审计，2000个设计单元功效分析。","检测5个百分点效应需54个集群，最小可检测效应随集群数增加陡降。","可将保形风险控制扩展到其他未建模扰动下的农业决策安全保证与审计设计。","2026-10-22T11:21:10.283561Z",{"id":362,"title":363,"url":364,"summary":365,"summary_zh":366,"content":8,"source_name":230,"source_url":364,"published_at":231,"category":232,"cover_url":8,"hotness":13,"is_selected":14,"score":367,"score_detail":368,"sources":370,"tags":372,"primary_topic":375,"secondary_topics":376,"classification":378,"search_phrases":393,"slug":396,"view_count":277,"doi":397,"paper":398,"created_at":412},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":235,"substance":17,"depth":80,"authority":19,"freshness":13,"relevant":22,"comment":369},"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。",[371],{"name":230,"url":364},[87,27,241,373,374],"作物病害识别","模型审计",{"code":245,"slug":246,"name":247,"path":248,"parent_code":249},[377],{"code":48,"slug":252,"name":253,"path":254,"parent_code":255},{"status":98,"locked":14,"version":35,"method":36,"evidence":379},{"candidates":380,"agricultural_evidence":42},[381,385,389],{"code":245,"score":20,"supported":42,"title":382,"abstract":383,"tags":384},[261],[241,261],[241],{"code":48,"score":13,"supported":42,"title":386,"abstract":387,"tags":388},[266],[],[373,27],{"code":118,"score":22,"supported":14,"title":390,"abstract":391,"tags":392},[],[],[87],[394,395],"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":397,"openalex_id":399,"authors":400,"venue":230,"cited_by_count":277,"oa_url":364,"card":407,"direction":292,"ingested_from":294},"W7223088030",[401,403,405],{"name":402,"orcid":8},"Abdi-Basid Idriss Farah",{"name":404,"orcid":8},"Amina Abdillahi Guedi",{"name":406,"orcid":8},"Moussa Omar Youssouf",{"tldr":408,"method":409,"finding":410,"direction":292,"opportunity":411},"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"]