[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-158":3,"related-158":75},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":69,"slug":72,"view_count":73,"doi":8,"paper":8,"created_at":74},158,"浙农观察|人工智能+农业抢占智高点——浙江累计建成数字农业工厂729家、未来农场63家","https:\u002F\u002Fnew.qq.com\u002Frain\u002Fa\u002F20260801A0BD0O00","浙江日报评论员文章总结第四届长三角智慧农业发展大会成果：以'产学研用'深度融合推动人工智能赋能农业，从国务院《加快农业农村现代化'十五五'规划》首次将'人工智能农业'专项行动列入顶层布局，到《全国智慧农业行动计划（2024—2028年）》落地。浙江已累计建成数字农业工厂729家、未来农场63家；金华金东区'低空AI'农事服务中心整合50余项AI模型能力，无人机飞行成本下降80%；遂昌'代耕代种'小程序每亩节省插秧成本60-80元。",null,"window.DATA = 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style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　近日，在杭州召开的以“数智兴农共创未来”为主题的第四届长三角智慧农业发展大会，集中展示长三角地区及全国智慧农业领域的新技术、新产业、新装备、新模式，从智能传感设备、农业机器人到AI决策系统，多项前沿成果吸引与会代表驻足体验。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c!--EOP_0--\\u003e\\u003c\u002Fp\\u003e\\u003c!--PARAGRAPH_0--\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003csection nodeleaf=\\\"\\\" style=\\\"text-align: center\\\"\\u003e\\u003c!--IMG_0--\\u003e\\u003c\u002Fsection\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　从国务院印发《加快农业农村现代化“十五五”规划》，首次将“\\u003c!--VERTICAL_CARD_BEGIN_0--\\u003e人工智能+\\u003c!--VERTICAL_CARD_END_0--\\u003e农业”专项行动列入培育\\u003c!--VERTICAL_CARD_BEGIN_1--\\u003e农业新质生产力\\u003c!--VERTICAL_CARD_END_1--\\u003e的顶层布局，到《全国智慧农业行动计划（2024—2028年）》落地，人工智能成为保障粮食安全、破解资源瓶颈的“必答题”，需要我们更多地思考如何让AI技术真正扎根泥土，推进人工智能赋能农业农村高质量发展。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c!--EOP_1--\\u003e\\u003c\u002Fp\\u003e\\u003c!--PARAGRAPH_1--\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　协同攻坚，让AI读懂浙江的“一方水土”。大模型技术正引领新一代人工智能发展，但农业并非标准化车间，再聪明的算法，若不懂具体的农艺和土壤特性，也只能“纸上谈农”。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　浙江的破局之道在于“产学研用”的深度融合，让算法去适应土地，而非让土地妥协于算法。以我省近期落地的“\\u003c!--VERTICAL_CARD_BEGIN_2--\\u003e浙里良田\\u003c!--VERTICAL_CARD_END_2--\\u003e”智能体为例，它并未追求泛化的“全知全能”，而是深耕高标准农田的“建、管、用”场景。其背后是450万组土壤改良与培肥试验、1200万条测土配方施肥数据等海量浙江本土基础数据，经大模型训练后，能在智能选址、土壤诊断等环节提供精确决策。同样，面向杨梅特色产业的“知梅”智能体，根据本地环境生成精准的修剪、水肥管理方案。实践证明，只有把浙江的农业数据优势转化为模型优势，通过“产业出题、科研答题”，才能让AI真正掌握浙江的农情、懂得浙江的农事。\\u003c!--AI_MID_AD_0--\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c!--EOP_2--\\u003e\\u003c\u002Fp\\u003e\\u003c!--PARAGRAPH_2--\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　算好经济账，让“黑科技”飞入农户家。AI技术再前沿，成本上“算不过账”，就难以逃离示范园的围墙。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　降低门槛的破冰之举，在浙江已有生动实践。金华市金东区的“\\u003c!--VERTICAL_CARD_BEGIN_3--\\u003e低空+AI\\u003c!--VERTICAL_CARD_END_3--\\u003e”农事服务中心，采取“政府搭台、企业运营”的方式，整合50余项AI模型能力，规模化运作后，无人机飞行成本下降80%；在遂昌，农户只需在手机上轻点小程序下单“代耕代种”，就能按亩、按次共享适配梯田的智能农机，据当地测算，仅插秧一项，每亩就能节省60至80元。究其根本，农业AI的生机，在于把“买重装备”变成“买轻服务”，通过“监测+处方+作业+反馈”的闭环，让AI变成农事服务中心提供的一项普惠型“农具”。只有经济上划算，AI才能真正被农民接纳。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c!--EOP_3--\\u003e\\u003c\u002Fp\\u003e\\u003c!--PARAGRAPH_3--\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003csection nodeleaf=\\\"\\\" style=\\\"text-align: center\\\"\\u003e\\u003c!--IMG_1--\\u003e\\u003c\u002Fsection\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　从“盆景”到“风景”，把技术红利留在田间地头。截至目前，浙江已累计建成数字农业工厂729家、未来农场63家，基础扎实、样板丰富。从“样板领先”迈向“普惠领先”，重点应关注有多少中小经营主体从中受益、有多少解决方案被稳定复用。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　一方面，要把公共数据和基础模型做成低成本底座，依托覆盖全省的农事服务网络，让合作社和服务中心成为技术下田的“接口”，避免重复建设和信息孤岛；另一方面，要特别保护农民的数据权益，防止数字化能力的差距演变为新的发展差距。只有这样，智慧农业的“盆景”，才能真正变成广袤田野里触手可及的“风景”。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c!--EOP_4--\\u003e\\u003c\u002Fp\\u003e\\u003c!--PARAGRAPH_4--\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cbr\u002F\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003cp style=\\\"line-height: 1.75em\\\"\\u003e\\u003cspan leaf=\\\"\\\" style=\\\"color: rgba(0, 0, 0, 0.9); font-size: 17px; font-style: normal; font-weight: normal; letter-spacing: 0.034em\\\"\\u003e\\u003cspan style=\\\"font-size: 18px; letter-spacing: normal\\\" textstyle=\\\"\\\"\\u003e　　从顶层设计到垂直深耕，“人工智能+农业”正迎来最好的发展窗口。尊重农业规律，让数据下田、技术下沉、服务普惠，这股AI浪潮就能沉淀为田野里持续领跑的先发优势。\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fp\\u003e\\u003csection nodeleaf=\\\"\\\" style=\\\"text-align: center\\\"\\u003e\\u003c!--IMG_2--\\u003e\\u003c\u002Fsection\\u003e\\u003csection\\u003e\\u003cspan leaf=\\\"\\\"\\u003e\\u003cspan style=\\\"color: rgb(136, 136, 136); font-size: 14px\\\" textstyle=\\\"\\\"\\u003e记者：张雅萌\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fsection\\u003e\\u003csection\\u003e\\u003cspan leaf=\\\"\\\"\\u003e\\u003cspan style=\\\"color: rgb(136, 136, 136); font-size: 14px\\\" textstyle=\\\"\\\"\\u003e编辑：曹丽娟　潘晴\\u003c\u002Fspan\\u003e\\u003c\u002Fspan\\u003e\\u003c\u002Fsection\\u003e\\u003cstyle\\u003e.data_color_scheme_dark{--weui-BTN-ACTIVE-MASK: rgba(255, 255, 255, .2)}.data_color_scheme_dark{--weui-BTN-DEFAULT-ACTIVE-BG: rgba(255, 255, 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张雅萌","2026-08-01T01:00:00Z","报道",10,false,79,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},22,20,16,11,1,"省级官媒深度报道AI+农业，含具体数据与案例，时效性强，具有较高行业参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","浙江","未来农场","数字农业工厂","低空AI",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"G1","extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer","G",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":47},[44,52,58,64],{"code":45,"score":46,"supported":47,"title":48,"abstract":50,"tags":51},"I1",15,true,[49],"数字农业",[26,49],[26],{"code":32,"score":53,"supported":47,"title":54,"abstract":55,"tags":57},3,[],[56],"产学研",[],{"code":59,"score":53,"supported":47,"title":60,"abstract":61,"tags":63},"J2",[],[62],"农业农村现代化",[],{"code":65,"score":21,"supported":14,"title":66,"abstract":67,"tags":68},"F6",[],[],[28],[70,71],"数字农业工厂 智慧农业 未来农场 低空AI","数字农业工厂 智慧农业","数字农业工厂智慧农业未来农场低空AI-158",7,"2026-08-01T23:53:42.093886Z",{"total":76,"page":21,"page_size":76,"items":77},6,[78,148,199,258,296,337],{"id":79,"title":80,"url":81,"summary":82,"summary_zh":83,"content":8,"source_name":84,"source_url":81,"published_at":85,"category":86,"cover_url":8,"hotness":13,"is_selected":14,"score":87,"score_detail":88,"sources":94,"tags":96,"primary_topic":101,"secondary_topics":102,"classification":109,"search_phrases":127,"slug":130,"view_count":131,"doi":132,"paper":133,"created_at":147},5078,"The Importance of Electronic Communication in the Use of Artificial Intelligence Programs and Applications in the Field of Smart Agriculture from the Point of View of Agricultural Extension Workers in Nineveh Governorate, Iraq","https:\u002F\u002Fdoi.org\u002F10.25125\u002Fijoear-oct-2026-3","The study aimed to identify the level of importance of electronic communication among agricultural extension workers in using artificial intelligence (AI) programs and applications in the field of smart agriculture. It also aimed to identify the most frequently used electronic communication means by extension workers in employing AI programs and applications and rank them according to their relative importance; measure the contribution of electronic communication to improving extension workers' efficiency in using AI programs and applications in smart agriculture; identify individual differences in the importance of electronic communication and the use of AI applications according to selected independent variables, namely gender, educational qualification, years of service, training courses, level of Internet use, and willingness to use social networking sites concerning smart-agriculture technologies; and identify the obstacles facing extension workers in using AI applications in smart agriculture. To obtain the study data, a questionnaire consisting of five parts was used. The first part concerned the respondents' personal and occupational information. The second part included a scale measuring the importance of electronic communication among extension workers in using AI programs and applications in smart agriculture. The third part measured the electronic communication means most frequently used by extension workers in employing AI programs and applications. The fourth part measured the contribution of electronic communication to improving extension workers' efficiency in using AI programs and applications in smart agriculture. The fifth part contained 15 items measuring the major obstacles facing extension workers in using AI applications in smart agriculture. After establishing the face validity of the questionnaire, reliability was assessed using Cronbach's alpha, which reached 0.95. The study population consisted of extension workers in the Nineveh Directorate of Agriculture and its 32 agricultural divisions, totaling 256 extension workers. A simple random sample of 128 extension workers, representing approximately 50% of the population, was selected. The data were coded, tabulated, and analyzed using SPSS. The results showed that the level of importance of electronic communication among extension workers in using AI programs and applications in smart agriculture was moderate and tended toward high, with a percentage of 48%. The item \"Using electronic platforms belonging to agricultural institutions to obtain information related to AI programs and applications\" ranked first, with a mean of 4.34. The contribution of electronic communication to improving extension workers' efficiency in using AI programs and applications in smart agriculture was high, with a percentage of 46%. No significant differences were found in the importance of electronic communication according to gender or training courses, whereas significant differences were reported according to educational qualification, years of occupational service, level of Internet use, and willingness to use social networking sites concerning smart-agriculture technologies. The item \"Poor compatibility of some AI applications with the nature and needs of agricultural extension work in Nineveh Governorate\" was identified as the most important obstacle. The major recommendation was for the Ministry of Agriculture to establish or develop official agricultural electronic platforms affiliated with agricultural and extension institutions and containing updated information on AI applications and their use in different agricultural fields. The main proposed future study was to investigate the obstacles to using AI applications in agricultural extension work in Nineveh Governorate from the perspective of extension workers.","本研究旨在确定农业推广人员在智慧农业领域使用人工智能（AI）程序和应用时电子沟通的重要程度，同时旨在确定推广人员在运用AI程序和应用时最常使用的电子沟通手段，并按其相对重要性进行排序；衡量电子沟通对提高推广人员在智慧农业中使用AI程序和应用效率的贡献；根据选定的自变量，即性别、学历、工龄、培训课程、互联网使用水平以及使用社交网站了解智慧农业技术的意愿，确定电子沟通重要性和AI应用使用方面的个体差异；并确定推广人员在智慧农业中使用AI应用所面临的障碍。为获取研究数据，使用了由五个部分组成的问卷。第一部分涉及受访者的个人和职业信息。第二部分包括一个测量推广人员在智慧农业中使用AI程序和应用时电子沟通重要性的量表。第三部分测量了推广人员在运用AI程序和应用时最常使用的电子沟通手段。第四部分测量了电子沟通对提高推广人员在智慧农业中使用AI程序和应用效率的贡献。第五部分包含15个题项，测量推广人员在智慧农业中使用AI应用面临的主要障碍。在确定问卷的表面效度后，使用克隆巴赫Alpha系数评估信度，达到0.95。研究总体为尼尼微农业局及其32个农业部门的推广人员，共计256名推广人员。采用简单随机抽样选取了128名推广人员，约占总体的50%。数据经编码、制表后使用SPSS进行分析。结果表明，推广人员在智慧农业中使用AI程序和应用时电子沟通的重要程度为中等且倾向于高，占比为48%。题项“使用电子","International Journal of Environmental and Agriculture Research","2026-10-15T00:00:00Z","论文",62,{"impact":89,"substance":90,"depth":46,"authority":91,"freshness":92,"relevant":21,"comment":93},8,18,12,9,"伊拉克尼尼微省农业推广人员使用AI与电子通信的实证问卷研究，样本128人、信度0.95，结论与障碍分析具体，但属区域性研究，公共影响有限。",[95],{"name":84,"url":81},[26,97,98,99,100],"农业人工智能","农业推广","伊拉克农业","电子通信",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[103],{"code":104,"slug":105,"name":106,"path":107,"parent_code":108},"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":110},{"candidates":111,"agricultural_evidence":47},[112,117,122],{"code":32,"score":46,"supported":47,"title":113,"abstract":115,"tags":116},[114],"agricultural extension",[98,114],[98],{"code":45,"score":46,"supported":47,"title":118,"abstract":120,"tags":121},[119],"smart agriculture",[26,119],[26],{"code":104,"score":91,"supported":47,"title":123,"abstract":125,"tags":126},[124],"artificial 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农业物联网","openalex","2026-10-16T23:30:08.170356Z",{"id":149,"title":150,"url":151,"summary":152,"summary_zh":8,"content":153,"source_name":154,"source_url":8,"published_at":155,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":156,"score_detail":157,"sources":161,"tags":163,"primary_topic":168,"secondary_topics":169,"classification":170,"search_phrases":194,"slug":197,"view_count":21,"doi":8,"paper":8,"created_at":198},3644,"河北省农林科学院副院长王旗一行到北京农林科学院调研座谈——深化京津冀协同发展，促进农业科技成果在河北转化","https:\u002F\u002Fwww.baafs.net.cn\u002Fkjfw\u002Ffwdt\u002F3b58daf3114344cdaa2fbb3b344ab939.htm","9月9日，河北省农林科学院党组成员、副院长王旗一行7人莅临北京农林科学院调研座谈。本次调研交流围绕院所企业管理体制机制、运营模式与内控管理经验，科技成果转化政策体系、路径模式等展开。双方就深化京津冀协同发展，促进农业科技成果在河北的转化等领域达成合作共识。王旗副院长一行在刘琳副院长的陪同下参观了我院院史馆和智慧农业展馆，前往蔬菜所调研京研益农（北京）科技种业科技有限公司生产经营状况，深入数经所调研北京智农天地网络技术有限公司平台直播。","2026年9月9日，河北省农林科学院党组成员、副院长王旗一行7人莅临我院调研座谈，刘琳副院长陪同调研座谈，院长燕继晔会前会见了王旗副院长。\n\n本次调研交流围绕院所企业管理体制机制、运营模式与内控管理经验，科技成果转化政策体系、路径模式等展开。双方分享了各自在相关领域的经验作法，成功案例。通过交流，两院就深化京津冀协同发展，促进农业科技成果在河北的转化等领域达成合作共识。\n\n王旗副院长一行在刘琳副院长的陪同下参观了我院院史馆和智慧农业展馆，前往蔬菜所调研京研益农（北京）科技种业科技有限公司生产经营状况，深入数经所调研北京智农天地网络技术有限公司平台直播。\n\n河北省农林科学院成果转化部、综合部，我院推广处、办公室、数经所，河北拾安农业科技发展有限公司，京研益农（北京）科技种业科技有限公司、北京智农天地网络技术有限公司相关负责人参加了此次活动。","北京市农林科学院 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2026-09-13","2026-09-12T20:00:00Z",74,{"impact":17,"substance":19,"depth":46,"authority":46,"freshness":76,"relevant":21,"comment":208},"央媒报道院士张福锁科技小院育人模式并提出AI、大数据、物联网与农业深度融合方向，权威性强但属人物报道、时效略滞后，可入精选。",[210],{"name":204,"url":202},[26,97,212,213,214],"科技小院","农业绿色发展","人才培养",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":218},{"candidates":219,"agricultural_evidence":47},[220,224,228,234,239,244,249],{"code":32,"score":174,"supported":47,"title":221,"abstract":222,"tags":223},[],[212],[212],{"code":45,"score":174,"supported":47,"title":225,"abstract":226,"tags":227},[],[26],[26],{"code":229,"score":53,"supported":47,"title":230,"abstract":231,"tags":233},"I5",[],[232],"物联网",[],{"code":235,"score":21,"supported":14,"title":236,"abstract":237,"tags":238},"G5",[],[],[214],{"code":240,"score":21,"supported":14,"title":241,"abstract":242,"tags":243},"H4",[],[],[213],{"code":245,"score":21,"supported":14,"title":246,"abstract":247,"tags":248},"H8",[],[],[213],{"code":104,"score":21,"supported":14,"title":250,"abstract":251,"tags":252},[],[],[97],[254,255],"农业人工智能 农业绿色发展 人才培养 智慧农业","农业人工智能 农业绿色发展","农业人工智能农业绿色发展人才培养智慧农业-2554","2026-09-16T00:03:45.169864Z",{"id":259,"title":260,"url":261,"summary":262,"summary_zh":8,"content":263,"source_name":264,"source_url":8,"published_at":265,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":266,"score_detail":267,"sources":269,"tags":271,"primary_topic":274,"secondary_topics":275,"classification":276,"search_phrases":291,"slug":294,"view_count":21,"doi":8,"paper":8,"created_at":295},2460,"湘湖实验室召开年度工作推进会:李培武院士提出'三聚焦三引领'冲刺开局之年","https:\u002F\u002Fwww.xhlab.ac.cn\u002Fxhdt\u002Fxhyw\u002F202609\u002Ft20260911_1557.html","9 月 8 日下午湘湖实验室召开年度工作推进会,传达学习第六次全省农业科技大会精神,总结交流阶段性工作成效,研究部署下半年重点任务。浙江省农科院党委副书记、院长姚菊明,中国工程院院士、湘湖实验室主任李培武出席会议并讲话。李培武指出实验室要在培育优势特色研究方向上下功夫,主动对接融入省'315'科技创新体系,注重人工智能在农业领域的研究与应用,加快标志性科研成果产出。姚菊明指出实验室要努力成为新型研发机构示范点、农业科技创新高地、农业科技成果转化基地。","9月8 日下午，湘湖实验室召开年度工作推进会，传达学习第六次全省农业科技大会精神，总结交流阶段性工作成效，研究部署下半年重点任务。浙江省农科院党委副书记、院长姚菊明，中国工程院院士、湘湖实验室主任李培武出席会议并讲话。浙江省农科院党委副书记、实验室常务副主任杨华主持会议。实验室副主任戴杰、张琼，省农科院科研与合作部相关负责人，实验室各部门、研究院负责人，科研团队负责人等参加会议。\n\n![Image 1](https:\u002F\u002Fwww.xhlab.ac.cn\u002Fxhdt\u002Fxhyw\u002F202609\u002FW020260911543433639565.jpg)\n\n会上，各部门、研究院和部分科研团队负责人汇报了今年以来工作进展成效和下半年工作计划。实验室主任班子成员结合分管工作作具体工作部署安排。\n\n李培武指出，今年以来，实验室锚定打造农业科技战略力量目标定位，统筹推进改革发展稳定各项工作，高质量发展呈现稳中有进、向新向好的良好态势，实现了时间过半、任务过半。下半年是完成全年任务的关键期，实验室要锚定目标、克难攻坚，以冲刺之势决胜开局之年。要 在培育优势特色研究方向、提升科研辨识度上下功夫，进一步突出目标导向、结果导向，主动对接融入省“315”科技创新体系，注重人工智能在农业领域的研究与应用，加快标志性科研成果产出；要在科技创新引领新质生产力发展上求突破，聚焦新产业新赛道现实需求，围绕地方产业实际需求和企业关键性需求，强化全链条农业科技创新与成果供给，加紧培育壮大新动能；要在营造一流科研创新生态上出实招，提高科技创新投入效能，用好科技评价指挥棒，一体推进科研诚信、科技伦理和安全治理，充分释放科研创新体系效能；要在在高效能治理体系建设上创优势，建立更加灵活的引人育人制度和机制，健全科研团队和科研人员考核评价机制，拓展多元化投入来源，努力实现长期良性可持续发展。\n\n姚菊明充分肯定了实验室今年以来取得的工作成效，对实验室下一步发展提出希望要求。姚菊明指出，实验室要努力成为新型研发机构示范点，持续深化体制机制改革创新，不断增强自我发展能力，探索形成可复制、可推广的科研管理运行新模式；要建设成为农业科技创新高地，锚定“四个面向”战略目标，不断强化科研原始创新和关键技术攻关，牢牢牵住项目这个发展“牛鼻子”，以项目带动学科、人才、平台、基地集群发展；要建设成为农业科技成果转化基地，打通从基础研究、技术攻关到产业落地的全链条，推动更多硬核科研成果走出实验室、走向产业一线，为创新浙江建设和高效生态农业强省建设提供坚实科技支撑。姚菊明表示，省农科院作为湘湖实验室的建设依托单位，将一如既往地全力支持实验室建设发展，深化院室优势互补、错位协同、融合发展格局，在科研资源对接、政策谋划争取、体制机制改革创新等方面做好服务保障。","湘湖实验室 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农业科技创新","农业人工智能农业科技创新新型研发机构成果转化-2460","2026-09-15T00:04:22.451377Z",{"id":297,"title":298,"url":299,"summary":300,"summary_zh":8,"content":301,"source_name":302,"source_url":8,"published_at":303,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":87,"score_detail":304,"sources":307,"tags":309,"primary_topic":312,"secondary_topics":313,"classification":314,"search_phrases":332,"slug":335,"view_count":53,"doi":8,"paper":8,"created_at":336},2090,"广东省农科院与广州黄埔区召开农业产业合作对接座谈会 共建联合研发平台推进院企深度合作","https:\u002F\u002Fwww.gdaas.cn\u002Fywzx\u002Fcontent\u002Fpost_1338144.html","9月8日下午广东省农科院与广州黄埔区农业产业合作对接座谈会在隆平院士港召开,黄埔区副区长何宇鸿及区内重点涉农企业代表参加。会上院加工所、果树所相关学科团队分别与广州泽力医药、广东香雪智慧中医药、广州极飞科技等签订产学研合作协议,共建联合研发平台、开展产业共性技术联合攻关,推进科企人才双向培养。","### 我院与广州黄埔区农业产业合作对接座谈会在黄埔召开\n\n时间：2026-09-09 16:12 来源：科技合作部【字体：大 中 小】\n\n为落实好科技支撑“百千万工程”，进一步推动我院与黄埔区涉农产业的院企深度合作，促进我院科技成果在黄埔区落地转化，9月8日下午，我院与广州市黄埔区农业产业合作对接座谈会在隆平院士港顺利召开。我院党委副书记、院长朱立学，我院科技合作部及各相关研究所负责人、科研专家，黄埔区副区长何宇鸿，以及黄埔区农业农村局、区营商环境改革局及区内重点涉农企业代表参加座谈。\n\n![Image 1: 图片1.png](http:\u002F\u002Fwww.gdaas.cn\u002Fimg\u002F0\u002F886\u002F886899\u002F1338144.png)\n\n会上，我院介绍了全院科研平台、学科布局与科技合作资源。来自文化集团、立达尔、润本生物、奥松电子、慕恩生物等区内重点企业依次介绍企业发展现状，提出技术攻关、产品研发、场景示范等方面合作诉求，我院专家对企业技术需求逐一回应，开展点对点技术交流。期间，院加工所、果树所相关学科团队分别与黄埔区重点涉农企业知识城（广州）现代农业发展有限公司、广州泽力医药科技有限公司、广东香雪智慧中医药产业有限公司、广州极飞科技股份有限公司、广州市粤牧农业发展有限公司签订产学研合作协议。\n\n![Image 2: 图片.png](http:\u002F\u002Fwww.gdaas.cn\u002Fimg\u002F0\u002F886\u002F886919\u002F1338144.png)\n\n何宇鸿对我院长期以来给予黄埔的科技赋能表示感谢。他指出，黄埔作为广州实体经济主阵地、科技创新核心区，具备发展现代科创农业的良好基础，希望以本次座谈会为契机，深化院地、院企联动，用好科研院所智力资源，破解企业技术难题，培育壮大黄埔特色农业产业，推动农业科技产业提质增效。\n\n朱立学表示，本次座谈会是今年5月院地调研交流成果的深化落地，下一步，我院将从共建联合研发平台、开展产业共性技术联合攻关、推进科企人才双向培养、协同申报科研产业项目、加速科技成果落地转化等方面，深化与黄埔务实合作，坚持“企业出题、专家答题”，精准匹配企业技术需求，推动新品种、新技术、新装备在黄埔优先示范应用，打通科研供给和产业需求的“最后一公里”，共同助力粤港澳大湾区现代农业科创高地建设。","广东省农业科学院","2026-09-08T00:00:00Z",{"impact":305,"substance":46,"depth":91,"authority":158,"freshness":89,"relevant":21,"comment":306},14,"省级农科院与黄埔区召开产业对接座谈会并签署多项产学研协议，属区域院地合作动态，有实质合作内容但影响范围限于地方。",[308],{"name":302,"url":299},[26,164,310,56,311],"院企合作","联合研发平台",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":315},{"candidates":316,"agricultural_evidence":47},[317,322,328],{"code":32,"score":318,"supported":47,"title":319,"abstract":320,"tags":321},5,[],[56],[164,310],{"code":323,"score":53,"supported":47,"title":324,"abstract":325,"tags":327},"B2",[],[326],"果树",[],{"code":45,"score":21,"supported":14,"title":329,"abstract":330,"tags":331},[],[],[26],[333,334],"联合研发平台 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