[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-964":3,"related-964":70},{"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":22,"tags":24,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":65,"slug":68,"view_count":20,"doi":8,"paper":8,"created_at":69},964,"福建农科院数字农业研究所：红火蚁数字化精准防控方法发明专利许可公告","https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fhtml\u002Ffjsnykxy\u002F2026-08-25\u002F902532734.html","福建省农业科学院数字农业研究所研发的发明专利「一种新型红火蚁数字化精准防控方法」(专利号ZL202410037893.0)进行许可公告。本发明属于外来入侵物种防控技术领域，通过智能分析红火蚁发生区域，科学规划最优药剂投放点位，精准计算药剂使用量，有效控制化学农药施用总量，显著减少药剂浪费；通过精确投药实现减量增效，降低农药施用面积，减轻对生态环境的负面影响；同时提升现场作业人员的防治效率，实现靶向施药、精准防控。目标合作单位主要为从事红火蚁防控的社会化服务组织。",null,"“一种新型红火蚁数字化精准防控方法”系福建省农业科学院数字农业研究所研发的发明专利（专利号：ZL202410037893.0）。本发明属于外来入侵物种防控技术领域，尤其涉及一种红火蚁数字化精准防控方法。红火蚁作为极具破坏性的外来入侵物种，可在入侵农田中取食农作物的果实、幼苗、根系及种子，严重危害幼苗生长，导致作物减产，并干扰农户正常作业，甚至引发农田弃耕。本发明通过智能分析红火蚁发生区域，科学规划最优药剂投放点位，精准计算药剂使用量，有效控制化学农药施用总量，显著减少药剂浪费；通过精确投药实现减量增效，降低农药施用面积，减轻对生态环境的负面影响；同时提升现场作业人员的防治效率，实现靶向施药、精准防控。该成果采用许可使用模式开展合作，目标合作单位主要为从事红火蚁防控的社会化服务组织，核心成本集中于人力投入与技术服务，预计每家合作单位年均推广与维护费用约为2万元。\n\n为了加快该专利的推广应用，依据《中华人民共和国促进科技成果转化法》、《实施\u003C中华人民共和国促进科技成果转化法>若干规定》等相关法律、法规精神，根据《福建省农业科学院科技成果转化实施办法（试行）》规定，我院拟对发明专利“一种新型红火蚁数字化精准防控方法”进行许可。现公告如下：","福建省农业科学院 2026-08-24","2026-08-24T00:00:00Z","报道",10,false,56,{"impact":17,"substance":18,"depth":13,"authority":18,"freshness":19,"relevant":20,"comment":21},15,12,7,1,"省级农科院专利许可公告，涉及红火蚁数字化防控，有一定技术价值，但影响范围有限。",[23],{"name":10,"url":6},[25,26,27,28,29,30],"福建省农科院","数字农业研究所","红火蚁","精准防控","发明专利","农药减量",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"F4","crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","F",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":47},[44,52,58],{"code":45,"score":46,"supported":47,"title":48,"abstract":50,"tags":51},"I1",11,true,[49],"数字农业",[49],[],{"code":32,"score":53,"supported":47,"title":54,"abstract":55,"tags":57},4,[],[56],"农药",[30],{"code":59,"score":60,"supported":47,"title":61,"abstract":62,"tags":64},"G2",3,[],[63],"社会化服务",[],[66,67],"数字农业研究所 福建省农科院 农药减量 发明专利","数字农业研究所 福建省农科院","数字农业研究所福建省农科院农药减量发明专利-964","2026-08-26T00:09:31.250648Z",{"total":71,"page":20,"page_size":71,"items":72},6,[73,140,225,276,333,423],{"id":74,"title":75,"url":76,"summary":77,"summary_zh":8,"content":78,"source_name":79,"source_url":8,"published_at":80,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":81,"score_detail":82,"sources":87,"tags":89,"primary_topic":94,"secondary_topics":100,"classification":102,"search_phrases":134,"slug":137,"view_count":138,"doi":8,"paper":8,"created_at":139},5281,"省农科院植保所江油武都\"三水\"绿色融合样板田连续10余年综合治理 稻鱼鸭共生","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696132538393215528","10月12日江油市武都镇阳亭坝金黄稻田迎来丰收,四川省农科院植保所研究员姬红丽蹲在田埂查叶背(无病斑),亩产干谷不低于1300斤;自2013年起省农科院植保所在此实施\"农田有害生物综合治理课题\"持续10余年,通过田埂种植甜荞、蔷薇、紫云英、二月兰、香根草等蜜源植物为天敌提供庇护所,基地稻田麦田天敌种群数量达农户常规田块的10倍以上。","视频加载中...\n\n川观新闻记者 张彧希 四川农村日报记者 徐灿红 洪瑜\n\n10月12日，江油市武都镇阳亭坝，秋风掠过，稻田翻起金色波浪。\n\n四川省农业科学院植物保护研究所研究员姬红丽蹲在田埂上，拔起一株水稻查看叶背——干干净净，没有病斑。“亩产干谷不会低于1300斤。”再过一两天，这里就要开镰。\n\n这片稻田不普通。自2013年起，省农科院植保所在此实施“农田有害生物综合治理课题”，持续10余年。曾经抛荒的土地，如今稻穗丰盈、游鱼戏水、白鹭翩跹，成为国内率先实现水稻、水产、水禽“三水”绿色融合的样板田。\n\n曾经令人头痛的有害生物，是如何被“赶出”这片田的？\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F0236314001894642bb5bcf371554180b~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792973320&x-signature=XhegSE7aGrMWXTC4o0zuZt8sDFo%3D)\n俯瞰基地。\n\n**第一招：良种打底，病害止步田外**\n\n“三水”融合，第一关是选品种。“不光看产量和米质，更看重抗病性。”姬红丽说。西南稻区主要病害有稻瘟病、纹枯病、稻曲病，农户常规靠打药防病，但基地全生育期几乎不施化学杀菌剂，底气来自多抗性品种。\n\n连续十多年，团队每年从市场主流品种中筛选多抗性优异品种，在江油基地展示。“江油气候利于多种病害发生，对品种抗性要求更高，也更容易筛出好品种。”姬红丽说。\n\n今年基地集中示范川康优2115、品香优607等优质水稻，在稻瘟、稻曲等病害抗性上表现优异。品种自身抗性强，病害起不来，化学农药自然省了。\n\n品种抗性究竟如何？种子企业也很关心。四川金色绿丹种业有限公司川北区域经理陈胜龙沿试验田看了几遍：“没找到稻瘟病、稻曲病症状，叶片干净，秆壮穗大，产量很乐观。”\n\n**第二招：田埂布阵，天敌与“陷阱”控虫**\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Facfcb249e48cd472f480260e5551bb65~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792973320&x-signature=B1pojs4Mx2mcaw2GJlWWImuIBDk%3D)\n田埂上种的甜荞。\n\n病害靠品种扛，虫害靠天敌控。不足半米宽的田埂，像一座迷你花园：甜荞开白花，蔷薇正艳，菜粉蝶、蜜蜂穿梭其间。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F85a45dc6b1fa07d071fd5c3d1578c4f2~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792973320&x-signature=oCp5UghEu2I%2BkG6F5S36WgQDGUA%3D)\n田埂上种的蔷薇。\n\n“这些都是蜜源植物，是精心选的‘生态卫士’。”姬红丽说。稻麦轮作茬口期，田里没有庄稼，自然天敌没处安身，蜜源植物便补上空当，提供花粉、花蜜和庇护所。\n\n目前田埂还种了紫云英、二月兰，基地稻田麦田里的天敌种群数量，达到农户常规自防田块的10倍以上，全是自然天敌，没有人工投放。\n\n记者发现，田埂上还种着一人高的香根草。姬红丽介绍，这是从泰国引进的“陷阱植物”：气味吸引二化螟产卵，但含有毒活性物质，不适合幼虫发育，孵化幼虫大多低龄死亡，无法发育为成虫。一代代下来，基地二化螟数量越来越低。\n\n效果有数据支撑：水稻螟虫、麦蚜虫连续八年没达到化学防治用药阈值；蜘蛛、青蛙、田螺、泥鳅、黄鳝、蛇、野鸭、翠鸟等指示生物相继回归，并向周边农田扩散。“插秧时，当地村民都来抓黄鳝，知道我们不用药，黄鳝比别处多。”姬红丽笑着说。\n\n**第三招：生态当家，少打药照样高产**\n\n开农资店的罗勇，生意不如以前，但他却为啥挺开心？\n\n罗勇原是当地农资店主，卖农药化肥。“那会儿种植户见虫就打药，我生意也好。”但姬红丽团队来了之后，带来一个新理念：生态当家，少打药照样高产。\n\n“一开始我不信。”姬红丽团队带着罗勇一次次下田示范，请他到基地看效果。“后来发现人家不打药，虫子比我的还少，稻子还壮。”\n\n罗勇动了心，一边开农资店，一边承包土地。如今种植已发展到400多亩。“跟着团队学病虫害防治，品种从他们筛出的抗病品种里选，少打药减少人工，一亩地省100多块钱，产量基本不受影响。”他估计，今年亩产干谷能到1300至1400斤，在武都镇算高的。\n\n自己尝到甜头，罗勇又向周边大户推广：“少打药不是不管，是要靠品种抗病、靠天敌控虫。”如今，武都镇大户基本减少了打药次数，但产量没降。","今日头条川观新闻(2026-10-13)","2026-10-13T00:00:00Z",69,{"impact":83,"substance":84,"depth":85,"authority":13,"freshness":53,"relevant":20,"comment":86},18,20,17,"连续十余年综合治理的实证报道，数据与多方信源扎实，具行业示范价值，但时效偏旧。",[88],{"name":79,"url":76},[90,30,91,92,93],"绿色防控","生物多样性","生态农业","稻鱼鸭共生",{"code":95,"slug":96,"name":97,"path":98,"parent_code":99},"D3","integrated-aquaculture","稻渔种养与生态渔业","\u002Ftopic\u002Faquaculture\u002Fintegrated-aquaculture","D",[101],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":103},{"candidates":104,"agricultural_evidence":47},[105,111,117,123,129],{"code":32,"score":106,"supported":47,"title":107,"abstract":109,"tags":110},13,[108],"植保",[108],[30,90],{"code":95,"score":112,"supported":47,"title":113,"abstract":115,"tags":116},8,[114],"稻鱼",[],[],{"code":118,"score":60,"supported":47,"title":119,"abstract":120,"tags":122},"A1",[],[121],"稻田",[],{"code":124,"score":125,"supported":14,"title":126,"abstract":127,"tags":128},"H8",2,[],[],[92,90],{"code":130,"score":20,"supported":14,"title":131,"abstract":132,"tags":133},"H6",[],[],[91],[135,136],"四川省农科院 植保所 江油 稻鱼鸭","三水融合 绿色防控 样板田","四川省农科院植保所江油稻鱼鸭-5281",0,"2026-10-19T00:07:41.376347Z",{"id":141,"title":142,"url":143,"summary":144,"summary_zh":145,"content":8,"source_name":146,"source_url":143,"published_at":147,"category":148,"cover_url":8,"hotness":149,"is_selected":14,"score":150,"score_detail":151,"sources":157,"tags":162,"primary_topic":166,"secondary_topics":167,"classification":168,"search_phrases":198,"slug":201,"view_count":138,"doi":202,"paper":203,"created_at":224},5069,"The impact of digital technology on green economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1787960","Introduction Digital agriculture is regarded as an important instrument for achieving green economies, with the potential to raise productivity while reducing environmental impacts. This study explores how digitalization in agriculture affects greenhouse gas emissions, pesticide use and productivity. Methods The research uses a mixed-methods design. Quantitative analysis draws on international environmental and economic indicators for approximately 180 countries between 2000 and 2023 (415 country-year observations), combining Spearman correlations, regression models with GDP interaction terms, and K-means cluster analysis. A qualitative case study of digital agriculture in Latin America complements the statistical findings. Results Digital infrastructure is strongly associated with the adoption of agricultural digital technologies, and smart farming investment is associated with better economic performance of the agricultural sector. Investment in digital agriculture shows a positive association with both emissions and pesticide use, while the interaction with GDP is negative and significant. Cluster analysis confirms that countries with higher GDP and stronger digital infrastructure achieve more balanced environmental outcomes. Discussion The environmental benefits of digital agriculture are conditional on economic capacity. In economically advanced settings, digital technologies reduce resource use, waste and emissions; in economically constrained regions, higher output can offset the environmental gains. Digital agricultural transformation therefore offers opportunities for sustainable development, but its success depends on equitable access to digital technologies and on policy support that mitigates the trade-off between productivity and environmental protection.","引言 数字农业被视为实现绿色经济的重要工具，具有提高生产力同时减少环境影响的潜力。本研究探讨农业数字化如何影响温室气体排放、农药使用和生产力。方法 研究采用混合方法设计。定量分析基于约180个国家2000年至2023年的国际环境和经济指标（415个国家-年份观测值），结合斯皮尔曼相关性分析、包含GDP交互项的回归模型以及K均值聚类分析。拉丁美洲数字农业的定性案例研究补充了统计发现。结果 数字基础设施与农业数字技术的采用密切相关，智慧农业投资与农业部门更好的经济表现相关。数字农业投资与排放量和农药使用量均呈正相关，而与GDP的交互项为负且显著。聚类分析证实，GDP较高且数字基础设施较强的国家实现了更平衡的环境结果。讨论 数字农业的环境效益以经济能力为条件。在经济发达环境中，数字技术减少了资源使用、浪费和排放；在经济受限地区，更高的产出可能抵消环境收益。因此，数字农业转型为可持续发展提供了机遇，但其成功取决于数字技术的公平获取以及能够缓解生产力与环境保护之间权衡的政策支持。","Frontiers in Sustainable Food Systems","2026-10-15T00:00:00Z","论文",25,86,{"impact":152,"substance":153,"depth":154,"authority":155,"freshness":112,"relevant":20,"comment":156},22,23,19,14,"基于180国2000—2023年面板数据与拉美案例，揭示数字农业环境效益受经济水平制约，方法扎实、结论有政策参考价值。",[158,159],{"name":146,"url":143},{"name":160,"url":161},"Frontiers in Sustainable Food Systems 2026-10-15","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Ffull",[49,163,164,165,30],"智慧农业","农业数字化","农业碳排放",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":169},{"candidates":170,"agricultural_evidence":47},[171,176,181,188,193],{"code":45,"score":18,"supported":47,"title":172,"abstract":173,"tags":175},[],[163,49,174],"digital agriculture",[164,49,163],{"code":32,"score":19,"supported":47,"title":177,"abstract":178,"tags":180},[],[56,179],"pesticide",[30],{"code":182,"score":71,"supported":47,"title":183,"abstract":184,"tags":187},"B7",[],[185,186],"温室","greenhouse",[],{"code":189,"score":20,"supported":14,"title":190,"abstract":191,"tags":192},"H4",[],[],[165],{"code":194,"score":20,"supported":14,"title":195,"abstract":196,"tags":197},"I",[],[],[164],[199,200],"数字农业 温室气体排放","拉丁美洲 数字农业 案例","数字农业温室气体排放-5069","10.3389\u002Ffsufs.2026.1787960",{"doi":202,"openalex_id":204,"authors":205,"venue":146,"cited_by_count":138,"oa_url":215,"card":216,"direction":222,"ingested_from":223},"W7221916400",[206,209,212],{"name":207,"orcid":208},"Botond Géza Kálmán","https:\u002F\u002Forcid.org\u002F0000-0001-8031-8016",{"name":210,"orcid":211},"Zsuzsanna Szeiner","https:\u002F\u002Forcid.org\u002F0000-0003-3051-9674",{"name":213,"orcid":214},"Szilvia Valéria Módosné Szalai","https:\u002F\u002Forcid.org\u002F0009-0005-2164-9014","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Fpdf",{"tldr":217,"method":218,"finding":219,"direction":220,"opportunity":221},"研究约180国2000-2023年数据，分析农业数字化对温室气体排放、农药使用与生产率的影响。","混合方法：Spearman相关、含GDP交互项的回归、K-means聚类，辅以拉","数字农业环境效益取决于经济能力，高GDP国家更均衡，低GDP国家增产抵消环境收益。","农业绿色发展与碳","可探究不同经济水平下数字农业减排阈值与政策干预机制，关注数字鸿沟对绿色转型的调节作用。","智慧农业 \u002F 农业物联网","openalex","2026-10-16T23:30:06.211945Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":8,"content":230,"source_name":231,"source_url":8,"published_at":80,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":232,"score_detail":233,"sources":237,"tags":239,"primary_topic":243,"secondary_topics":248,"classification":250,"search_phrases":271,"slug":274,"view_count":20,"doi":8,"paper":8,"created_at":275},4847,"[光明网] 减药、降毒、增产!玉米绿色防控新技术亮相新乡田间","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fmtxw\u002F3ef9b71ec5ba48b2864a2b4f63c877e4.htm","10月11日,中国农业科学院植物保护研究所、中国农业科学院中原研究中心、农业农村部农产品质量安全生物性危害因子控制重点实验室联合在河南新乡举办玉米病虫害绿色防控与控残减毒技术集成示范观摩交流会。科研团队针对当前玉米生产三大核心困境——病虫灾变防控难、传统防治弊端凸显、毒素污染风险突出,集中展示适配黄淮海夏玉米产区的全生育期病虫害绿色防控、控残减毒集成技术体系,推动田间防控从'粗放防治'向'精准绿色'转变。","金秋时节，黄淮海玉米产区迎来收获关键期，病虫害防控、农药残留管控、真菌毒素治理，直接关系玉米产量稳增与品质安全，是保障粮食安全的关键一环。\n\n10月11日，玉米病虫害绿色防控与控残减毒技术集成示范观摩交流会在河南新乡举办。本次会议由中国农业科学院[植物保护研究所](http:\u002F\u002Fipp.caas.cn\u002F)、中国农业科学院中原研究中心、农业农村部农产品质量安全生物性危害因子（植物源）控制重点实验室、北京中保绿农科技集团有限公司联合主办。来自行业主管部门、科研院所、高校的专家学者及项目骨干、种植大户代表等60名代表齐聚现场，观摩最新科研成果、共话玉米产业绿色高质量发展路径。\n\n![Image 1: image-01.jpg](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-10\u002F3a8255df19074f11916af4c08e13e1d1.jpg)  \n观摩会现场\n\n**三重难题制约玉米优质高产发展**\n\n作为我国核心粮食作物，玉米的稳产提质对保障国家粮食安全、夯实粮油供给基础至关重要。当前，我国玉米主产区病虫害呈现频发、重发态势，多重难题叠加，成为产业发展的突出瓶颈。\n\n据科研团队调研分析，目前玉米生产面临三大核心困境。一是病虫灾变防控难，南方锈病、穗腐病、玉米螟、桃蛀螟等重大病虫害灾变机制复杂，传统监测手段智能化程度不足，精准预判、提前防控能力薄弱。二是传统防治弊端凸显，长期依赖化学农药的防控模式，易造成农药残留超标、农业面源污染等问题，破坏农田生态平衡。三是毒素污染风险突出，玉米生物毒素污染呈现超标率高、复合污染率高、区域风险高的“三高”特征，严重影响玉米品质与食用安全，制约产业提质升级。\n\n针对产业痛点，中国农业科学院[植物保护研究所](http:\u002F\u002Fipp.caas.cn\u002F)牵头，联合国内优势科研单位，依托“十四五”国家重点研发计划两大核心项目，组建专项科研团队开展有组织协同攻关，聚焦病虫害演替规律、绿色防控技术、控残减毒机理三大核心方向，系统破解玉米生产稳产提质难题。\n\n**全周期绿色方案实现降本增效减毒**\n\n此次新乡观摩会上，科研团队在新乡综合实验基地集中展示了适配黄淮海夏玉米产区的全生育期病虫害绿色防控、控残减毒集成技术体系，一系列轻量化、高效化、可落地的新技术、新方案、新产品，让田间防控实现从“粗放防治”向“精准绿色”转变。\n\n在病虫害绿色防控层面，多项创新田间技术落地见效。科研团队创新构建“功能植物阻击带”模式，在玉米田四周配套种植向日葵、高粱，利用桃蛀螟等害虫的取食偏好诱集虫源，实现集中诱杀、生态控害，无需大量喷施农药即可降低虫害基数。同时创新“一包两滴法”防护体系，通过播种前种子包衣、苗期与大喇叭口关键期精准滴施药剂，构建“种子—土壤—根系”三层立体防护网络，配套自主研发的智能涌波高效水肥药一体机，实现药肥精准施用，大幅减少农药浪费与面源污染。针对玉米穗期病虫高发问题，推广无人机飞防“一喷多促”技术，一次施药即可兼治多种病虫害，通过减少植株虫伤、机械损伤，从源头降低穗腐病发病概率。\n\n![Image 2: image-02.jpg](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-10\u002F016e571e9d2e473bb0f0a4c780c61936.jpg)  \n观摩会现场\n\n在控残减毒核心技术上，科研团队厘清关键防控机理，明确虫害防治是控制玉米伏马毒素污染的核心关键。通过大量田间试验验证，种植抗虫转基因玉米，搭配吐丝期喷施40%唑醚·戊唑醇+天沐飞防助剂，对叶部病害、穗腐病的防控效果最优，降毒成效显著。团队进一步精准锁定施药窗口期，证实玉米吐丝后5至7天内科学施药，可最大程度减少虫害伤口，阻断真菌侵染路径，从源头抑制毒素生成。\n\n此外，团队创新研发“植物健康＋高效施药”协同防控模式，将纳米硒、芸苔素内酯与专用增效助剂科学配伍，形成玉米全周期“农药减量+毒素控制”一体化技术方案。经田间实测，该技术可实现农药用量较常规降低30%以上，玉米增产约10%，兼顾生态效益与经济效益。现场还重点展示了“阿泰灵”植物免疫诱抗剂、“天沐”无人机飞防助剂等核心产品，通过激活作物自身免疫能力、提升药液田间沉积利用率，为玉米绿色防控、品质升级提供硬核产品支撑。\n\n**科研赋能筑牢粮食安全绿色根基**\n\n观摩结束后，与会专家围绕玉米病虫害发生新规律、绿色防控产品迭代优化、控残减毒技术体系完善、区域化技术适配等核心议题展开深度研讨。项目团队依次汇报重点研发计划进展，详细解读玉米病虫演替规律、农残与毒素风险管控、转基因玉米抗性治理等最新科研成果。\n\n咨询专家组充分肯定了阶段性攻关成效，并提出针对性优化建议。专家组指出，当前玉米病虫防控与品质管控形势持续变化，后续需进一步强化病虫害、生物毒素风险的常态化监测预警，深耕基础机理研究；加快绿色防控产品迭代升级，推动各类技术、产品优化集成，打造适配不同生态产区的专属防控体系；同时加大技术示范推广与基层培训力度，打通科研成果落地田间的“最后一公里”。\n\n![Image 3: image-03.jpg](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-10\u002F6ef057e0d5154e30a413e3dbf466094e.jpg)  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GIBS卫星遥感与闭环田间记录系统的热带农业AI决策平台为对象，构建覆盖农药化肥生产、田间N2O、灌溉电力与稻田CH4的'摇篮到农场大门'农业碳核算模型。在三个海南代表性场景（芒果园、冬季蔬菜、稻\u002F南繁育种田，按面积40%：30%：30%加权）下，通过蒙特卡洛模拟参数不确定性传播：在完全采纳试点情景下，化学农药使用减少23.5%（90%置信区间15.0%–33.2%），化肥施用减少21.0%（13.8%–28.9%），灌溉水减少16.5%（10.9%–23.5%），碳强度降低21.5%（16.1%–27.2%）。达成化肥减量≥15%与碳强度明确下降的概率分别为90.6%与98.1%，而总节水≥20%的概率仅约20%，表明应采用场景化表述。","arXiv 2609.06737v1 (2026-09)","2026-09-15T00:00:00Z",76,{"impact":83,"substance":152,"depth":83,"authority":18,"freshness":71,"relevant":20,"comment":342},"预印本以蒙特卡洛量化AI平台在海南三类场景的减药减肥与碳减排概率，方法新颖、数据具体，但尚未经同行评审，属细分领域进展。",[344],{"name":338,"url":336},[163,346,30,347,348],"农业人工智能","农业碳核算","海南热带农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":352},{"candidates":353,"agricultural_evidence":47},[354,358,362,366,372,378,384,390,395,401,407],{"code":45,"score":235,"supported":47,"title":355,"abstract":356,"tags":357},[163],[],[163],{"code":32,"score":53,"supported":47,"title":359,"abstract":360,"tags":361},[],[56],[30],{"code":118,"score":60,"supported":47,"title":363,"abstract":364,"tags":365},[],[121],[],{"code":367,"score":60,"supported":47,"title":368,"abstract":369,"tags":371},"B1",[],[370],"蔬菜",[],{"code":373,"score":60,"supported":47,"title":374,"abstract":375,"tags":377},"B2",[],[376],"芒果",[],{"code":379,"score":60,"supported":47,"title":380,"abstract":381,"tags":383},"H2",[],[382],"土壤",[],{"code":385,"score":60,"supported":47,"title":386,"abstract":387,"tags":389},"H3",[],[388],"灌溉",[],{"code":189,"score":60,"supported":47,"title":391,"abstract":392,"tags":394},[],[393],"农业碳",[],{"code":396,"score":60,"supported":47,"title":397,"abstract":398,"tags":400},"I3",[],[399],"遥感",[],{"code":402,"score":60,"supported":47,"title":403,"abstract":404,"tags":406},"I5",[],[405],"物联网",[],{"code":316,"score":20,"supported":14,"title":408,"abstract":409,"tags":410},[],[],[346],[412,413],"海南 热带农业 AI平台","蒙特卡洛 农业碳核算","海南热带农业AI平台-3651",{"doi":8,"openalex_id":8,"authors":416,"venue":8,"cited_by_count":138,"oa_url":8,"card":417,"direction":220,"ingested_from":331},[],{"tldr":418,"method":419,"finding":420,"direction":220,"opportunity":421},"用蒙特卡洛模拟评估AI智慧农业平台在海南热带农业中的绿色减排效益。","构建摇篮到农场大门碳核算模型，结合蒙特卡洛模拟参数不确定性。","完全采纳下碳强度降21.5%，化肥减量达标概率90.6%，但总节水≥20%概率仅20%。","可延伸研究AI平台在不同作物场景下的节水短板及多目标优化策略。","2026-09-28T00:03:02.301756Z",{"id":424,"title":425,"url":426,"summary":427,"summary_zh":428,"content":8,"source_name":429,"source_url":426,"published_at":430,"category":148,"cover_url":8,"hotness":149,"is_selected":14,"score":431,"score_detail":432,"sources":434,"tags":438,"primary_topic":442,"secondary_topics":443,"classification":449,"search_phrases":472,"slug":475,"view_count":20,"doi":476,"paper":477,"created_at":496},1906,"FORTUNA Deliverable 4.2 – Pathways from research gaps to the Fortuna scenarios","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22643575","Please note that this deliverable has not yet been approved by the European Commission. This deliverable contributes to the development of the FORTUNA Strategic Research and Innovation Agenda (SRIA) by establishing implementation pathways that link research and innovation (R&I) priorities to the FORTUNA scenarios for reducing pesticide use in European agriculture. Building on Deliverable D4.1, which developed future scenarios, identified research and innovation knowledge gaps, and defined intermediary actions, this report completes the pathway by identifying the expected alternative solutions and R&I outputs that could emerge from addressing these knowledge gaps. It also examines how the previously identified intermediary actions should be prioritised over time to support the implementation of the 50% pesticide-use reduction scenario by 2030 and the pesticide-free scenario by 2050.The analysis is based on Workshop 5 of the FORTUNA project, which brought together 40 participants from 27 organisations across 16 European countries, representing research, advisory services, farmers' organisations, policymakers and agri-food value chain actors. Participants worked in three groups corresponding to the project's cropping systems—arable, vegetable and perennial crops. For each cropping system and transition scenario, they first translated the previously identified knowledge gaps into expected alternative solutions, including prototypes, demonstrators and research outputs. They then discussed the intermediary actions identified in earlier workshops, prioritised these actions along a timeline, and identified the main actors responsible for their implementation and the stakeholders expected to benefit from them. This process resulted in implementation pathways connecting research outputs to the long-term transition scenarios.Across the three cropping systems, participants agreed that reducing pesticide dependence requires more than the development of new technologies. Future research should support integrated solutions combining resistant varieties, biological control, agroecological approaches, biodiversity-based management and digital technologies for monitoring and decision support. However, the successful implementation of these solutions also depends on enabling conditions beyond research itself, including effective advisory services, farmer training, demonstration activities, supportive regulatory frameworks, financial incentives, functioning value chains and greater consumer awareness. These complementary actions were consistently identified as essential for facilitating the uptake and scaling of research outcomes.The comparison of the two scenarios revealed different implementation pathways. The 50% pesticide-use reduction scenario represents an incremental transition that builds on existing farming systems by strengthening integrated pest management (IPM), improving knowledge transfer, increasing the adoption of biological control and digital technologies, and supporting farmers through targeted policy measures. In contrast, the pesticide-free scenario requires a more fundamental transformation of agricultural systems. It involves the redesign of cropping systems based on agroecological principles, greater crop diversification, stronger landscape-scale coordination, reorganisation of value chains, stable markets rewarding sustainable production, and broader societal support through coherent long-term policies and consumer engagement.Despite differences between cropping systems and scenarios, several common messages emerged. First, research and innovation must be embedded within broader implementation pathways that anticipate the institutional, economic and social conditions necessary for the uptake of alternative solutions. Second, advisory services, demonstration farms and participatory knowledge exchange are fundamental to accelerating adoption by farmers. Third, long-term policy commitment, appropriate regulatory frameworks and targeted financial support are required to reduce transition risks and create favourable conditions for innovation. Finally, the transition towards reduced pesticide use depends on coordinated action involving researchers, policymakers, farmers, advisory organisations, industry and consumers.","请注意，本交付成果尚未获得欧盟委员会批准。本交付成果通过建立将研究与创新（R&I）优先事项与FORTUNA减少欧洲农业农药使用情景相连接的实施方案路径，为FORTUNA战略研究与创新议程（SRIA）的制定作出贡献。在D4.1交付成果（该成果开发了未来情景、识别了研究与创新知识缺口并界定了中间行动）的基础上，本报告通过识别应对这些知识缺口可能产生的预期替代解决方案及R&I产出，完成了该路径的构建。报告还探讨了先前识别的中间行动应如何随时间进行优先排序，以支持到2030年实现农药使用量减少50%的情景以及到2050年实现无农药情景的实施。\n\n本分析基于FORTUNA项目第五次研讨会，该研讨会汇集了来自16个欧洲国家27个组织的40名参与者，涵盖研究、咨询服务、农民组织、政策制定者及农食价值链参与者。参与者分为三个小组，分别对应项目的种植系统——大田作物、蔬菜作物和多年生作物。针对每种种植系统和转型情景，他们首先将先前识别的知识缺口转化为预期的替代解决方案，包括原型、示范装置和研究产出。随后，他们讨论了早期研讨会中识别的中间行动，按时间线对这些行动进行优先排序，并确定了负责实施的主要行动者及预期受益的利益相关方。这一过程形成了将研究产出与长期转型情景相连接的实施方案路径。\n\n在三个种植系统中，参与者一致认为，减少农药依赖不仅仅需要开发新技术。未来研究应支持综合解决方案，将抗性品种、生物防治、农业生态学方法、基于生物多样性的管理以及用于监测和决策支持的数字技术相结合。然而，这些解决方案的成功实施还取决于研究之外的有利条件，包括有效的咨询服务、农民培训、示范活动、支持性监管框架、财政激励、运转良好的价值链以及良","Zenodo (CERN European Organization for Nuclear Research)","2026-09-07T00:00:00Z",74,{"impact":84,"substance":152,"depth":83,"authority":18,"freshness":125,"relevant":20,"comment":433},"欧洲农药减量科研路线图，跨国产学研共识，对国内农业绿色转型有参考价值。",[435,436],{"name":429,"url":426},{"name":429,"url":437},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22643576",[30,439,440,441],"农业转型","欧洲农业","科研路线图",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[444],{"code":130,"slug":445,"name":446,"path":447,"parent_code":448},"biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":450},{"candidates":451,"agricultural_evidence":47},[452,457,462,467],{"code":32,"score":13,"supported":47,"title":453,"abstract":454,"tags":456},[],[56,455,179],"生物防治",[30],{"code":130,"score":235,"supported":47,"title":458,"abstract":459,"tags":461},[],[91,460,445],"农业生态",[],{"code":367,"score":71,"supported":47,"title":463,"abstract":464,"tags":466},[],[370,465],"vegetable",[],{"code":316,"score":60,"supported":47,"title":468,"abstract":469,"tags":471},[],[470],"decision support",[],[473,474],"科研路线图 农业转型 农药减量 欧洲农业","科研路线图 农业转型","科研路线图农业转型农药减量欧洲农业-1906","10.5281\u002Fzenodo.22643575",{"doi":476,"openalex_id":478,"authors":479,"venue":429,"cited_by_count":138,"oa_url":426,"card":490,"direction":495,"ingested_from":223},"W7211907573",[480,483,485,488],{"name":481,"orcid":482},"Mireille Matt","https:\u002F\u002Forcid.org\u002F0000-0002-2791-4262",{"name":484,"orcid":8},"Renée Van Dis",{"name":486,"orcid":487},"Olivier Mora","https:\u002F\u002Forcid.org\u002F0000-0002-4155-1955",{"name":489,"orcid":8},"Océane Espin",{"tldr":491,"method":492,"finding":493,"direction":220,"opportunity":494},"构建减少欧洲农药使用的实施路径，连接研究创新与未来情景。","基于研讨会，多利益相关者参与，按作物系统分组讨论。","减少农药依赖需综合解决方案，且依赖咨询、培训、政策等支持条件。","可研究如何整合技术与非技术因素，设计跨学科政策支持体系，促进农药减量路径落地。","数字乡村与农业信息化","2026-09-08T23:30:24.443425Z"]