[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3732":3,"related-3732":85},{"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":80,"slug":83,"view_count":21,"doi":8,"paper":8,"created_at":84},3732,"科技包联赋能定制农业有了智慧芯","https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fxxlb\u002Fhlj\u002F202609\u002Ft20260924_8873815.htm","黑龙江省农科院科技包联服务团运用水稻品种筛选、基质育苗、智慧农业变量施肥等多项技术，兼顾稻米品质优化、生产投入减量与环境污染最小化多重目标。优质稻品种松粳22亩产达到557.5公斤，验证了良种良法配套对于定制农业的支撑效力。",null,"金秋九月，黑土大地稻浪翻涌，丰收气息扑面而来。9月22日，黑龙江省农业科学院科技包联哈尔滨市现场观摩会在五常乔府大院现代农业产业园举行，农业科研专家、种植大户、涉农企业代表齐聚一堂，聚焦科技包联助力定制农业发展，共探黑土地粮食增产、产业提质新路径。\n\n站在乔府大院核心定制基地的稻田之中，湖南厨王粮油食品有限公司总经理何瞳瞳深有感触。此次企业与基地达成2000亩核心基地订单农业合作。“不来不知道，来了之后确实很震撼。”何瞳瞳说，定制农业一方面通过定制米卡面向家庭消费市场，另一方面对接全国中高端餐饮渠道。这套模式能够保障稻米全年品质稳定，实现全流程可溯源可追溯，契合当下食品安全消费趋势。\n\n在何瞳瞳的行业观察中，如今，不少湖南中高端湘菜餐饮偏好选用黑龙江优质大米，乔府大院产品成为海底捞、徐记海鲜等知名餐饮企业的优质供应商，同时拓展商超流通渠道。何瞳瞳表示，这次实地走访过后，企业更有信心、有底气把龙江优质稻米产品引入湖南长沙，送到更多消费者的餐桌。\n\n市场端对黑龙江定制农产品的高度认可，离不开省农科院科技包联服务团的技术赋能。省农科院哈尔滨市科技包联服务团团长、耕作栽培研究所所长李柱刚介绍，哈尔滨市科技包联服务团由省农科院耕作栽培研究所、玉米研究所、畜牧研究所、园艺分院等共同组成，重点围绕单产提升、特色产业和定制农业三大方向开展技术攻关与落地服务。\n\n在乔府大院的产业实践当中，科技包联服务团运用水稻品种筛选、基质育苗、智慧农业变量施肥等多项技术，兼顾稻米品质优化、生产投入减量与环境污染最小化多重目标。实测数据显示，优质稻品种“松粳22”亩产达到557.5公斤，验证了良种良法配套对于定制农业的支撑效力，为订单化、标准化稻米生产夯实技术基础。\n\n依托院地协同合作，当地企业打造科技包联示范基地，将科研成果转化为定制农业的现实生产力。通过新品种筛选、智慧田间管理、标准化种植等一系列技术落地，为企业订单生产、餐饮渠道定制、家庭消费产品供给输出稳定可靠的优质粮源。\n\n哈尔滨市农业农村局种植业管理处处长杜树林介绍，近年来，哈尔滨市持续深化与省农科院的院地合作、科技包联工作。聚焦粮食生产，推进优良品种试验示范推广，普及先进栽培模式，推进绿色高产高效行动示范县创建，保障粮食稳产增产；面向畜牧产业、特色经济作物开展定制化技术服务，探索畜禽粪污综合利用路径，提升特色作物种植水平，有效带动定制基地农民增收；发挥专家传帮带作用，组织市、县两级农技人员1000余人次参与科技包联，锤炼基层农技队伍服务能力。\n\n“省农科院科技包联工作实施四年来，通过组建13个科技包联服务团，覆盖全省13个地市，重点推进主要粮食作物大面积单产提升工作。在品种示范推广和技术应用方面，建立数百个高产攻关示范田，创新形成‘1+1+N’科技包联服务模式，同步发展特色产业和高端定制农业。”省农科院副院长、党组成员焦少杰表示，省农科院将持续深化院地协同，强化科技包联，推广定制农业，抓实单产提升，让科技之种在黑土地结出更多丰硕果实。（黑龙江日报记者：梁金池）","中国农业农村信息网","2026-09-24T00:00:00Z","报道",10,false,65,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},18,17,15,5,1,"省级科技包联赋能定制农业的现场观摩报道，有品种产量数据与多方信源，但属区域动态、时效稍旧，可作主题聚合素材而非头条精选。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","单产提升","院地合作","科技包联","定制农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","A",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51,57,64,70,75],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":50},6,true,[],[34,49],"稻米",[],{"code":52,"score":53,"supported":46,"title":54,"abstract":55,"tags":56},"I1",4,[],[26],[26],{"code":58,"score":59,"supported":46,"title":60,"abstract":61,"tags":63},"F3",3,[],[62],"施肥",[],{"code":65,"score":66,"supported":14,"title":67,"abstract":68,"tags":69},"G1",2,[],[],[29,28],{"code":71,"score":21,"supported":14,"title":72,"abstract":73,"tags":74},"A8",[],[],[27],{"code":76,"score":21,"supported":14,"title":77,"abstract":78,"tags":79},"E5",[],[],[30],[81,82],"黑龙江农科院 科技包联 定制农业","松粳22 五常 乔府大院","黑龙江农科院科技包联定制农业-3732","2026-09-29T00:08:24.152129Z",{"total":45,"page":21,"page_size":45,"items":86},[87,135,188,243,289,369],{"id":88,"title":89,"url":90,"summary":91,"summary_zh":8,"content":8,"source_name":92,"source_url":8,"published_at":93,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":94,"score_detail":95,"sources":100,"tags":102,"primary_topic":105,"secondary_topics":106,"classification":107,"search_phrases":130,"slug":133,"view_count":59,"doi":8,"paper":8,"created_at":134},3229,"乔府大院第十一届开镰节系列活动启幕——黑龙江省农科院为乔府大院授牌\"科技包联示范基地\"","https:\u002F\u002Fwww.hlj.news.cn\u002F20260922\u002F30b3409efc004627ab756efa3334249e\u002Fc.html","9-22 新华网黑龙江频道报道：9-22 由黑龙江省农科院、哈尔滨市农业农村局、五常市农业农村局、亿林学堂联合主办，乔府大院承办的黑龙江省农科院科技包联哈尔滨市现场观摩会、首届亿林学堂世界商业武道大赛、第十一届乔府大院开镰节系列活动，在五常市乔府大院现代农业产业园启幕。依托黑龙江省\"科技包联、赋能增粮\"工作部署，黑龙江省农业科学院专家团队长期扎根乔府大院田间一线，围绕精准施肥、富硒稻米种植、良种选育研发、智慧农业应用四大领域持续技术赋能。活动现场，黑龙江省农业科学院正式授予乔府大院\"科技包联示范基地\"称号。最新数据显示，截至2026年上半年，黑龙江省定制农业主体数量发展到445家，种植定制基地面积达到179.9万亩，实现签约销售额55.5亿元，同比增长85%。","新华网黑龙江频道","2026-09-22T00:00:00Z",74,{"impact":17,"substance":96,"depth":97,"authority":98,"freshness":13,"relevant":21,"comment":99},20,14,12,"省级科技包联授牌叠加定制农业最新数据，信息增量足、时效性强，但属企业承办活动，影响层级限于省级与细分行业。",[101],{"name":92,"url":90},[26,29,103,30,104],"五常大米","富硒稻米",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":108},{"candidates":109,"agricultural_evidence":46},[110,114,118,122,126],{"code":32,"score":53,"supported":46,"title":111,"abstract":112,"tags":113},[],[49],[103],{"code":52,"score":53,"supported":46,"title":115,"abstract":116,"tags":117},[],[26],[26],{"code":58,"score":59,"supported":46,"title":119,"abstract":120,"tags":121},[],[62],[],{"code":76,"score":21,"supported":14,"title":123,"abstract":124,"tags":125},[],[],[30],{"code":65,"score":21,"supported":14,"title":127,"abstract":128,"tags":129},[],[],[29],[131,132],"黑龙江省农科院 乔府大院 科技包联示范基地","五常大米 开镰节 定制农业","黑龙江省农科院乔府大院科技包联示范基地-3229","2026-09-23T00:04:30.450309Z",{"id":136,"title":137,"url":138,"summary":139,"summary_zh":8,"content":140,"source_name":141,"source_url":8,"published_at":142,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":143,"score_detail":144,"sources":149,"tags":151,"primary_topic":156,"secondary_topics":157,"classification":158,"search_phrases":183,"slug":186,"view_count":59,"doi":8,"paper":8,"created_at":187},3586,"黑龙江省农科院科技包联现场观摩会举办——'松粳22'优质食味水稻新品种示范田实测亩产557.5公斤","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F25\u002Fcontent_588143.html","9月22日，黑龙江省农科院科技包联哈尔滨市现场观摩会暨乔府大院第十一届开镰节开幕式上，试验田新品种展示区块18个水稻品种分区规整排布，其中9个是黑龙江省农科院自主选育品种。黑龙江省农科院生物技术研究所（五常水稻研究所）副所长、研究员闫平介绍，新品种'松粳22'150亩示范田按照14.5%标准含水率折算，平均亩产达到557.5公斤，在优质食味水稻中属于上乘水平，抗倒伏能力显著优于传统优质稻。秸秆基质育苗示范点位展示秸秆基质育苗技术，今年在哈尔滨18个点位示范。","![Image 1](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Fshare_logo.jpg)\n\n[![Image 2](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 3](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\u002F2026-09\u002F25\u002Fcontent_588143.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# 乡村行 看振兴丨科技赋能丰产 定制深耕良田——黑龙江省农科院科技包联现场观摩会举办\n\n 2026-09-25 12:39:56 来源: 科技日报 点击数：\n\n![Image 4](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 朱虹**\n\n金色稻海漫过黑龙江五常的黑土地，稻浪深处，开镰号令响起。随着乔府大院董事长乔文志一声“开镰”，嘉宾们手持镰刀踏入金黄稻田，割下了今秋第一束稻穗。\n\n9月22日，黑龙江省农科院科技包联哈尔滨市现场观摩会暨乔府大院第十一届开镰节开幕式上，传统农耕与现代科技撞个满怀，一场丰收开镰，也是一次看得见摸得着的农业科技大考。\n\n在试验田新品种展示区块，18个水稻品种分区规整排布，其中9个是黑龙江省农科院自主选育品种。该院生物技术研究所（五常水稻研究所）副所长、研究员闫平站在田垄之间，伸手托起沉甸甸的“松粳22”稻穗，招呼围观嘉宾观察茎秆与籽粒状态。现场发布前，实收测产数据显示，150亩示范田按照14.5%标准含水率折算，松粳22平均亩产达到557.5公斤，在优质食味水稻中属于上乘水平。\n\n“传统稻花香大米口感出众，可茎秆偏软，遇上风雨天气极易大面积倒伏。”闫平指着成片挺立的稻株讲解道，“今天展示的新品种，抗倒伏能力显著优于传统优质稻。”\n\n一句“抗倒伏”，点破了好米难产的旧账。传统优质稻往往“娇贵”——品质好却秆软易倒、产量不稳，种高端米像押宝。新品种把“好吃”和“抗倒”拧在一起：抗倒伏，意味着风雨天不趴窝、机械收割进得去、规模种植稳得住，高端米供给才算有了“压舱石”。从“靠天吃饭”到“凭种稳产”，良种攻关为高端稻米产业蹚出一条新路。\n\n米食品鉴区，新米出锅，香气四溢，米粒莹润油亮。定制客户捧着一碗米饭感慨：“一碗好米的根基就在种子，科研选育的新品种，让老百姓既吃得饱，更吃得好。”\n\n观摩队伍在试验田里走走停停。秸秆基质育苗示范点位旁，黑龙江省农科院耕作栽培研究所作物栽培与装备研究室主任董文军被团团围住，他弯腰捧起一把棕褐色基质，讲起秸秆基质育苗的门道。\n\n“原料就是经多年沤熟的秸秆有机肥，配上三成秸秆打包回收时附带的表层土，育苗完全不用再挖黑土。”董文军介绍，杀菌剂、控旺剂都已预配好，农户拿到手直接铺苗床，取土、晒土、混拌这些累活全省了。“今年在哈尔滨18个点位示范，秧苗长势不比传统育苗土差，产量持平就可以得到推广，前期试验发现不同的配方基质比当地基质和黑土能增产5%到15%。”董文军说。秸秆从田间收走、发酵成基质，秧苗育成再回归水田。这条闭环，把曾经的“田间负担”变成“黑土养料”，围观的种植大户连连点头，当场追问推广条件。\n\n智慧农业贯穿作物生长每一环。黑龙江省农科院农业遥感与信息研究所副所长张有智介绍：“无人机图像结合人工智能模型算法，实现作物的长势情况和杂草分布反演识别，自动生成施肥处方图和施药处方图，直接推送到无人机飞手账号进行作业。作业精度能到厘米级。”今年试验，这套技术实现减肥6%、减药17%左右。\n\n黑龙江省农科院耕作栽培研究所所长李柱刚告诉科技日报记者，2023年黑龙江省农科院建立科技包联服务机制以来，哈尔滨已建成粮食单产提升示范田、科技服务田28个，示范推广面积25800亩。\n\n“为龙头企业提供高端定制服务，是科技包联的重头戏。”黑龙江省农科院副院长焦少杰站在田埂上说，“从品种定向选育、栽培技术集成，到植保方案、加工品鉴，全程‘一对一’定制，让高端米从‘卖原粮’升级为‘卖标准、卖品质’。”他介绍，黑龙江省农科院已深化科技包联13个市（地）服务机制，推动“百项技术、千个基地、万名人才”增粮示范落地。\n\n责任编辑：王倩\n\n相关稿件：\n\n![Image 5](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Fpinglun.png)网友评论\n\n评论\n\n最热评论\n\n没有更多评论了\n\n[热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n\n[![Image 6](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F26\u002F588575_33202b28-b632-4676-bc9e-c4e3a4a74a61_802x5353422954copy.png)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588575.html)\n\n[古老颜料为钙钛矿光伏提出稳定性新解](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588575.html)\n\n[![Image 7](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F26\u002F588535_fd615e80-b5e0-48e0-8090-66b870bc474ecopy.jpg)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588535.html)\n\n[四创“世界第一” 石沱长江大桥公路桥合龙](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588535.html)\n\n[![Image 8](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F26\u002F588546_4331e545-c470-4f9c-974b-efa355998578_935x6230736666copy.jpg)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588546.html)\n\n[火车票预约购票试点服务日期范围调整为开车前第30天至17天](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588546.html)\n\n[![Image 9](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F25\u002F588308_t1_1X0X600X337_513a7353-1ba4-4b1b-9142-a1359a1c6a38_1069x7125514627copy.jpeg)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F25\u002Fcontent_588308.html)\n\n[北冰洋考察记丨我国在加拿大海盆北部高纬冰区发现极鳕幼鱼](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F25\u002Fcontent_588308.html)\n\n[封面新闻](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Ffmxw\u002Fnode_334.html)\n\n*   [![Image 10](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2024-09\u002F10\u002F227211_t0_0X0X532X399_f37403ac-57e6-47f7-91e3-ba6e5e28a64d.jpg)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-09\u002F10\u002Fcontent_227211.html) \n[封面新闻丨第40个教师节，致敬这些良师益友](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-09\u002F10\u002Fcontent_227211.html)\n\n*   [![Image 11](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2024-09\u002F09\u002F226617_t0_0X3X515X389_c0de85fe-9e16-4131-98ff-9f011359aeb7.png)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-09\u002F09\u002Fcontent_226617.html) \n[亮点纷呈 氛围感拉满！2024年国家网络安全宣传周开启](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-09\u002F09\u002Fcontent_226617.html)\n\n*   [![Image 12](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2024-08\u002F29\u002F221287_t0_35X3X554X392_6088faa3-97fd-4574-bd90-3340514ec6c0.jpg)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-08\u002F29\u002Fcontent_221287.html) \n[封面新闻丨共赴十年之约 2024数博会引领数字经济发展新潮流](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-08\u002F29\u002Fcontent_221287.html)\n\n*   [![Image 13](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2024-08\u002F15\u002F214881_t1_11X0X583X322_f39b4a42-0f79-4c79-937c-02aa2572567c.JPG)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-08\u002F15\u002Fcontent_214881.html) \n[全国生态日丨我国生态环境和质量持续改善](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2024-08\u002F15\u002Fcontent_214881.html)\n\n[精彩视频](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fspxw\u002Fnode_701.html)\n\n*   [![Image 14](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F26\u002F588619_b1c8d85f-f732-47e4-b0b8-6790b0626cf4_800x5332954762copy.png)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588619.html) \n[气球上切豆腐！数贸会上机器人秀“绝活儿”](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588619.html)\n\n*   [![Image 15](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F26\u002F588597_38284776-f13a-4f45-8f27-1f0636acb8ee.jpg)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588597.html) \n[科普一下丨秋天氛围感天花板！桂花为啥这么香？](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588597.html)\n\n*   [![Image 16](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F26\u002F588410_t1_2X96X248X234_96fff04b-7d27-4a10-8113-c29a5b039e41.jpg)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588410.html) \n[世赛现场有“霸王餐”吃？](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588410.html)\n\n*   [![Image 17](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F26\u002F588405_e66f49a5-73ef-445d-87a6-bb1379aa57bc.png)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588405.html) \n[当人工智能开始“做菜”，烹饪世界冠军：AI还抢不走饭碗](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F26\u002Fcontent_588405.html)\n\n[专题报道](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fztxw\u002Fnode_335.html)\n\n*   [科技新观察](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2025-06\u002F05\u002Fcontent_350698.html)\n*   [创新故事](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fzhuantiji\u002Fztcxgs.html)\n*   [科普一下](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fzhuantiji\u002Fztkpyx.html)\n*   [庆祝中国共产党成立105周年](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-06\u002F12\u002Fcontent_531282.html)\n\n![Image 18](https:\u002F\u002Fwww.stdaily.com\u002Fresource\u002FtemplateRes\u002F\u002F202403\u002F03\u002F228\u002Fimages\u002Fcode_img.png)\n\n### 友情链接\n\n*   [中国政府网](https:\u002F\u002Fwww.gov.cn\u002F)\n*   [国家发展和改革委员会](http:\u002F\u002Fwww.ndrc.gov.cn\u002F)\n*   [教育部](http:\u002F\u002Fwww.moe.gov.cn\u002F)\n*   [科学技术部](http:\u002F\u002Fwww.most.gov.cn\u002Findex.html)\n*   [工业和信息化部](https:\u002F\u002Fwww.miit.gov.cn\u002F)\n*   [公安部](https:\u002F\u002Fwww.mps.gov.cn\u002F)\n*   [民政部](http:\u002F\u002Fwww.mca.gov.cn\u002F)\n*   [司法部](http:\u002F\u002Fwww.moj.gov.cn\u002F)\n*   [自然资源部](http:\u002F\u002Fwww.mnr.gov.cn\u002F)\n*   [生态环境部](https:\u002F\u002Fwww.mee.gov.cn\u002F)\n*   [住房和城乡建设部](https:\u002F\u002Fwww.mohurd.gov.cn\u002F)\n*   [交通运输部](https:\u002F\u002Fwww.mot.gov.cn\u002F)\n*   [水利部](http:\u002F\u002Fwww.mwr.gov.cn\u002F)\n*   [农业农村部](http:\u002F\u002Fwww.moa.gov.cn\u002F)\n*   [国家卫生健康委员会](http:\u002F\u002Fwww.nhc.gov.cn\u002F)\n*   [国家市场监督管理总局](https:\u002F\u002Fwww.samr.gov.cn\u002F)\n*   [国家广播电视总局](http:\u002F\u002Fwww.nrta.gov.cn\u002F)\n*   [国家体育总局](https:\u002F\u002Fwww.sport.gov.cn\u002F)\n*   [国家互联网信息办公室](http:\u002F\u002Fwww.cac.gov.cn\u002F)\n*   [国务院新闻办公室](http:\u002F\u002Fwww.scio.gov.cn\u002Findex.htm)\n*   [中国科学院](https:\u002F\u002Fwww.cas.cn\u002F)\n*   [中国社会科学院](http:\u002F\u002Fwww.cass.cn\u002F)\n*   [中国工程院](https:\u002F\u002Fwww.cae.cn\u002F)\n*   [国家文物局](http:\u002F\u002Fwww.ncha.gov.cn\u002F)\n*   [国家知识产权局](https:\u002F\u002Fwww.cnipa.gov.cn\u002F)\n*   [人民网](http:\u002F\u002Fwww.people.com.cn\u002F)\n*   [新华网](http:\u002F\u002Fwww.news.cn\u002F)\n*   [中国网](http:\u002F\u002Fwww.china.com.cn\u002F)\n*   [国际在线](http:\u002F\u002Fwww.cri.cn\u002F)\n*   [中国日报网](https:\u002F\u002Fcn.chinadaily.com.cn\u002F)\n*   [央视网](https:\u002F\u002Fwww.cctv.com\u002F)\n*   [中国青年网](https:\u002F\u002Fwww.youth.cn\u002Findex.htm)\n*   [中国经济网](http:\u002F\u002Fwww.ce.cn\u002F)\n*   [中国台湾网](http:\u002F\u002Fwww.taiwan.cn\u002F)\n*   [中国西藏网](http:\u002F\u002Fwww.tibet.cn\u002F)\n*   [央广网](http:\u002F\u002Fwww.cnr.cn\u002F)\n*   [光明网](https:\u002F\u002Fwww.gmw.cn\u002F)\n*   [中国军网](http:\u002F\u002Fwww.81.cn\u002F)\n*   [中国新闻网](https:\u002F\u002Fwww.chinanews.com.cn\u002F)\n*   [人民政协网](http:\u002F\u002Fwww.rmzxb.com.cn\u002Findex.shtml)\n*   [法治网](http:\u002F\u002Fwww.legaldaily.com.cn\u002F)\n\n*   [科技日报社概况](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2019-07\u002F12\u002Fcontent_1790748.html)\n*   [科技日报概况](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2022-01\u002F26\u002Fcontent_1790749.html)\n*   [报社领导](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2017-07\u002F17\u002Fcontent_1790744.html)\n*   [关于中国科技网](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2022-03\u002F12\u002Fcontent_1790745.html)\n*   [联系我们](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2016-09\u002F02\u002Fcontent_1790743.html)\n*   [公示公告](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fnode_10787.html)\n*   [广告刊例](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2025-12\u002F26\u002Fcontent_453856.html)\n*   [科技日报社公开招聘公告](https:\u002F\u002Fwww.stdaily.com\u002Fnode_355.html)\n*   [互联网新闻信息服务许可证](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2022-06\u002F21\u002Fcontent_1790750.html)\n*   [信息网络传播视听节目许可证](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2021-12\u002F10\u002Fcontent_1790742.html)\n*   [举报平台](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2021-09\u002F10\u002Fcontent_1790741.html)\n*   [版权声明](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2017-01\u002F01\u002Fcontent_1790740.html)\n\nCopyright © Science and Technology Daily, All Rights Reserved 科技日报社 中国科技网 版权所有\n*   [京ICP备 06005116 号](https:\u002F\u002Fbeian.miit.gov.cn\u002F)\n*   [违法和不良信息举报电话：010-58884152](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002F2016-12\u002F05\u002Fcontent_1790739.html)\n*   [京公网安备11010802036145号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010802036145)\n\n[![Image 19](https:\u002F\u002Fwww.stdaily.com\u002Fresource\u002FtemplateRes\u002F\u002F202408\u002F19\u002F345\u002Fimages\u002Fclose.png)](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F25\u002Fcontent_588143.html)\n\n#### 抱歉，您使用的浏览器版本过低或开启了浏览器兼容模式，这会影响您正常浏览本网页\n\n### 您可以进行以下操作:\n\n## 1.将浏览器切换回极速模式\n\n![Image 20](https:\u002F\u002Fwww.stdaily.com\u002Fresource\u002FtemplateRes\u002F\u002F202408\u002F19\u002F345\u002Fimages\u002F360tip.png)\n\n## 2.点击下面图标升级或更换您的浏览器\n\n[![Image 21](https:\u002F\u002Fwww.stdaily.com\u002Fresource\u002FtemplateRes\u002F\u002F202408\u002F19\u002F345\u002Fimages\u002Ffirefox.jpg)](http:\u002F\u002Fwww.firefox.com.cn\u002Fdownload\u002F)[![Image 22](https:\u002F\u002Fwww.stdaily.com\u002Fresource\u002FtemplateRes\u002F\u002F202408\u002F19\u002F345\u002Fimages\u002Fchrome.jpg)](http:\u002F\u002Fwww.chromeliulanqi.com\u002F)\n\n## 3.暂不升级，继续浏览\n\n[继续浏览](javascript:;)","科技日报 2026-09-25","2026-09-25T00:00:00Z",75,{"impact":17,"substance":96,"depth":145,"authority":146,"freshness":147,"relevant":21,"comment":148},16,13,8,"省级科研机构科技包联现场会，含新品种实测产量、秸秆基质育苗与遥感处方图等实质数据，对种业与智慧农业主题有聚合价值。",[150],{"name":141,"url":138},[26,152,153,154,29,155],"种业振兴","遥感监测","水稻新品种","秸秆基质育苗",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":159},{"candidates":160,"agricultural_evidence":46},[161,165,170,174,178],{"code":32,"score":98,"supported":46,"title":162,"abstract":163,"tags":164},[34],[34],[154],{"code":166,"score":21,"supported":14,"title":167,"abstract":168,"tags":169},"F1",[],[],[152],{"code":65,"score":21,"supported":14,"title":171,"abstract":172,"tags":173},[],[],[29],{"code":52,"score":21,"supported":14,"title":175,"abstract":176,"tags":177},[],[],[26],{"code":179,"score":21,"supported":14,"title":180,"abstract":181,"tags":182},"I3",[],[],[153],[184,185],"黑龙江省农科院 松粳22 水稻","五常 科技包联 观摩会","黑龙江省农科院松粳22水稻-3586","2026-09-27T00:05:16.125922Z",{"id":189,"title":190,"url":191,"summary":192,"summary_zh":8,"content":193,"source_name":194,"source_url":8,"published_at":195,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":196,"score_detail":197,"sources":199,"tags":201,"primary_topic":204,"secondary_topics":205,"classification":206,"search_phrases":237,"slug":240,"view_count":241,"doi":8,"paper":8,"created_at":242},2457,"浙江省农科院数智赋能杂交稻制种智慧化模式:多学科协同打造遂昌样板","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1074886741_121106994","浙江省农科院在丽水遂昌举行'浙江省农业科学院综合示范基地'授牌仪式、农资捐赠仪式暨新品种新技术新模式推介会。聚焦'华中优 9326'超级杂交稻品种,展示无人机变量施肥、父本生长调节剂精准喷施等智能化作业演示,考察水稻白叶枯病绿色防控、非粮化整治耕地培肥改良等技术应用。本次集成示范是省农科院多研究所协同攻关,育种、植保、土肥、智慧农业多学科深度融合的重要实践,构建杂交稻制种'良种+良法+良田+良机'一体化技术支撑体系。","近日，优质杂交稻智慧制种全链条技术集成示范现场会在遂昌县石练镇白西畈制种示范基地举办。院党委委员、副院长冯冠胜，遂昌县人民政府党组成员、副县长王庆，浙江勿忘农种业股份有限公司总经理唐昌华出席会议并讲话。省种子管理总站、遂昌县农业农村局、石练镇人民政府、遂昌县各乡镇农技推广部门、种业企业、农事服务主体和种植大户代表等110余人参会。\n\n冯冠胜指出，种子是农业的“芯片”，做强制种产业是保障粮食安全、培育农业新质生产力的关键举措。针对杂交稻制种父母本高差调控、精准施肥等环节智能化不足的产业痛点，省农科院由数字农业研究所牵头，联动作物与核技术利用研究所、植物保护与微生物研究所、环境资源与土壤肥料研究所组建多学科专家团队，构建“数字技术牵引、多学科技术集成、全链条示范应用”创新模式。省农科院将持续强化示范辐射、做实科技服务、聚力全链赋能，系统总结可复制可推广的智慧制种模式，常态化开展田间指导与实操培训，推动更多新品种、新技术、新产品、新模式在遂昌转化落地，打造院地协同助力种业振兴、共同富裕的标杆样板。\n\n![Image 1](https:\u002F\u002Fq7.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002Feb1b3986b60b4866b921114d8a67482b.png)\n\n王庆表示，遂昌作为国家级杂交稻制种大县，将以本次现场会为契机，持续深化县院合作，加快智慧制种成套科技成果落地应用，推动杂交稻制种产业向全程机械化、智能化、标准化转型升级。\n\n![Image 2](https:\u002F\u002Fq1.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002F04dedf3f89e64de08c40c636c0d610d4.png)\n\n唐昌华指出，勿忘农种业长期扎根遂昌开展杂交稻制种产业实践，公司在当地生产经营的水稻品种中，有一半为省农科院与勿忘农公司联合选育的优良品种，科企合作成果丰硕。企业将持续深化与省农科院协同联动，发展智慧制种技术，进一步提升优良品种繁育产能，助力遂昌制种产业提质增效，带动广大制种农户持续增收。\n\n![Image 3](https:\u002F\u002Fq4.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002F1c3c0409b8c743adbbbb43f1230b779d.png)\n\n![Image 4](https:\u002F\u002Fq7.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002F56374fa73a0b45f18b0bd0fefe078b58.png)\n\n会上举行了“浙江省农业科学院综合示范基地”授牌仪式、农资捐赠仪式，并同步开展省农科院新品种新技术新模式推介暨技术培训会，面向基层农技人员、种业企业技术人员、种植大户开展技术实操讲解与智慧制种平台应用介绍，为当地制种产业从业者提供专业技术培训。\n\n![Image 5](https:\u002F\u002Fq4.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002Fba0dd61859d7420fb42e64937566cd8b.png)\n\n![Image 6](https:\u002F\u002Fq3.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002F1fabcf48cafe4e6bb9748de20b56a9da.png)\n\n![Image 7](https:\u002F\u002Fq9.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002Fce3910890a0640ce9a00975342ad7fa0.png)\n\n会前，与会代表赴石练镇白西畈杂交稻智慧制种示范田现场观摩，实地察看‘华中优9326’超级杂交稻品种田间长势，了解遂昌县智慧制种平台运行情况，观看无人机变量施肥、父本生长调节剂精准喷施等智能化作业演示，考察水稻白叶枯病绿色防控、非粮化整治耕地培肥改良等技术应用成效。现场展示的新品种、新技术、新装备，集中展示了良种、良法、良田、良机融合配套，赋能杂交稻制种产业降本提质增效的实践成效。\n\n![Image 8](https:\u002F\u002Fq8.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002Feccca5280d964a0880f0190838f69d13.png)\n\n![Image 9](https:\u002F\u002Fq9.itc.cn\u002Fq_70\u002Fimages03\u002F20260911\u002Ff831c1b91e084a9995543b294f83834e.png)\n\n本次集成示范是我院多研究所协同攻关，育种、植保、土肥、智慧农业多学科深度融合的重要实践，构建起杂交稻制种“良种+良法+良田+良机”一体化技术支撑体系。我院将持续深化协同联动，扩大成套技术示范推广，以科技创新守护农业“芯片”，为筑牢粮食安全底线、赋能乡村共同富裕贡献农科力量。\n\n来源 | 成果转化推广部、数字农业研究所、作物与核技术利用研究所、环境资源与土壤肥料研究所、植物保护与微生物研究所\n\n编辑 | 王语嫣\n\n初审 | 孙丽萍\n\n终审 | 邵 敏[返回搜狐，查看更多](https:\u002F\u002Fwww.sohu.com\u002F?strategyid=00001 \"点击进入搜狐首页\")","浙江省农科院 2026-09-09","2026-09-08T16:00:00Z",67,{"impact":17,"substance":145,"depth":97,"authority":146,"freshness":45,"relevant":21,"comment":198},"省级农科院牵头多学科团队在国家级制种大县落地智慧制种全链条集成示范，含平台运行、无人机变量施肥等实操内容，产业示范价值明确，但属区域样板推广，全国性影响有限。",[200],{"name":194,"url":191},[26,152,28,202,203],"杂交稻制种","多学科协同",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":207},{"candidates":208,"agricultural_evidence":46},[209,214,221,225,229,233],{"code":32,"score":97,"supported":46,"title":210,"abstract":212,"tags":213},[211],"杂交稻",[34,211],[],{"code":215,"score":45,"supported":46,"title":216,"abstract":217,"tags":220},"F4",[],[218,219],"植保","绿色防控",[],{"code":52,"score":53,"supported":46,"title":222,"abstract":223,"tags":224},[],[26],[26],{"code":58,"score":59,"supported":46,"title":226,"abstract":227,"tags":228},[],[62],[],{"code":166,"score":21,"supported":14,"title":230,"abstract":231,"tags":232},[],[],[152],{"code":65,"score":21,"supported":14,"title":234,"abstract":235,"tags":236},[],[],[28],[238,239],"多学科协同 杂交稻制种 智慧农业 种业振兴","多学科协同 杂交稻制种","多学科协同杂交稻制种智慧农业种业振兴-2457",0,"2026-09-15T00:04:22.279848Z",{"id":244,"title":245,"url":246,"summary":247,"summary_zh":8,"content":248,"source_name":249,"source_url":8,"published_at":250,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":251,"score_detail":252,"sources":255,"tags":257,"primary_topic":261,"secondary_topics":262,"classification":263,"search_phrases":284,"slug":287,"view_count":241,"doi":8,"paper":8,"created_at":288},5449,"安徽省农科院专家在淮南潘集「绿色吨半粮」基地开展水稻良种与高效肥测产观摩","https:\u002F\u002Fwww.panji.gov.cn\u002Fpjzx\u002Fjcgz\u002F11259072035.html","10 月 14 日上午，水稻良种和高效肥展示观摩会在淮南市潘集区贺疃镇「绿色吨半粮」示范基地举行，来自中国农业大学、南京农业大学、安徽省农业科学院、安徽农业大学的专家教授以及种粮大户、基层农技人员参加。示范田内多个水稻新品种分区种植，同步设置高效肥与常规施肥对照试验田块，通过机收和人员测产直观展示良种搭配高效肥料的增产效果，为做好新一年店集贡米品种选育与宣传推广提供技术依据，推动水稻单产提升行动。","为加快优良水稻品种、高效新型肥料示范推广，推动良种良法配套落地，助力粮食稳产增产，10月14日上午，水稻良种和高效肥展示观摩会在贺疃镇“绿色吨半粮”示范基地举行。来自中国农业大学、南京农业大学、安徽省农业科学院、安徽农业大学的专家教授以及种粮大户、基层农技人员齐聚基地，现场观摩对比，开展实收测产。\n\n在示范田内，多个水稻新品种分区种植，同步设置高效肥与常规施肥对照试验田块。观摩会现场，通过查看不同品种的长势、抗倒伏、抗病性，对比施用高效肥和常规肥料水稻的株型、穗粒、结实情况，现场讲解品种特性、科学施肥、田间管护等关键技术要点，为种粮大户答疑解惑，做好新一年的店集贡米的品种选育、宣传推广。现场通过机收和人员测产，直观展示了优良品种搭配高效肥料的增产效果，用真实数据验证良种与高效肥相结合的增产提质、节肥增效优势，对推进水稻单产提升行动具有积极作用。\n\n潘集区农技推广中心主任杨中保表示：“近年来，我们立足本地农业生产实际，聚焦粮食安全底线、农业增效目标、农民增收核心，扎实推进农作物良种筛选推广、配套栽培良法落地、新型肥料示范应用等一系列重点工作，通过建示范、抓培训、强指导、树样板，良种良法配套、科学施肥增效的农业生产新模式全面落地，让农作物抗灾能力、单产水平、农产品品质稳步提升，农业生产综合效益持续提高，农业生产取得了阶段性成效。”\n\n通过现场观摩不同品种的水稻生长特性，选用适配本地气候土壤的水稻良种，配套应用高效肥料，能够提升肥料利用率，对于减少化肥投入，改善稻米品质，推动水稻绿色高产，壮大潘集水稻产业的有效路径。此次观摩测产活动，搭建起科研院所、农技部门与种植主体交流对接的平台，打通农业科技成果转化 “最后一公里”。\n\n潘集区农技推广中心主任杨中保表示：“下一步，我们农技部门要锚定农业高质量发展总目标，紧扣稳粮、提质、增效、绿色核心任务，持续深耕良种良法推广、科学施肥示范工作，推动农业生产提质增效、提档升级，为稳定粮食生产、壮大特色农业、助力乡村产业振兴提供有力支撑。”","淮南市潘集区人民政府 2026-10-16","2026-10-16T00:00:00Z",50,{"impact":98,"substance":97,"depth":253,"authority":147,"freshness":20,"relevant":21,"comment":254},11,"地方示范基地的良种良法观摩测产活动，有现场数据和多方信源，但属区域性农技推广动态，公共价值有限。",[256],{"name":249,"url":246},[34,27,258,259,260],"科学施肥","良种良法","绿色吨半粮",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":264},{"candidates":265,"agricultural_evidence":46},[266,270,276,280],{"code":32,"score":98,"supported":46,"title":267,"abstract":268,"tags":269},[34],[34],[34],{"code":58,"score":271,"supported":46,"title":272,"abstract":273,"tags":275},7,[],[62,274],"肥料",[258],{"code":71,"score":53,"supported":46,"title":277,"abstract":278,"tags":279},[],[27],[27],{"code":166,"score":21,"supported":14,"title":281,"abstract":282,"tags":283},[],[],[259],[285,286],"潘集 绿色吨半粮 水稻","安徽省农科院 水稻 高效肥 测产","潘集绿色吨半粮水稻-5449","2026-10-21T00:10:02.459897Z",{"id":290,"title":291,"url":292,"summary":293,"summary_zh":294,"content":8,"source_name":295,"source_url":292,"published_at":296,"category":297,"cover_url":8,"hotness":13,"is_selected":14,"score":298,"score_detail":299,"sources":302,"tags":304,"primary_topic":308,"secondary_topics":309,"classification":315,"search_phrases":348,"slug":351,"view_count":241,"doi":352,"paper":353,"created_at":368},5394,"Rice Yield Prediction Using Multi-Modal Regression Learning with Optimized Ensemble Models","https:\u002F\u002Fdoi.org\u002F10.3390\u002Feng7100572","Accurate rice yield estimation is important for agricultural planning, resource allocation, and food security assessment, but yield depends on interacting climatic, vegetation, remote sensing, seasonal, and crop growth factors. This study presents a Multi-Modal Regression Learning (MMRL) framework for continuous rice yield prediction. The framework integrates rainfall, temperature, humidity, normalized difference vegetation index (NDVI), VH synthetic aperture radar (SAR) backscatter, season, rice cultivation area, and leaf wetness information. Predictor relevance is assessed before model development, and multiple regression learners are trained using a common feature set. Their validation predictions are combined through non-negative ensemble weights constrained to sum to one, thereby producing a single optimized prediction. Experiments were performed on a modeled spatio-temporal agricultural dataset representing Karnataka conditions, with 10,000 observations used for the regression comparison. The proposed MMRL ensemble achieved an R2 of 0.9515, an RMSE of 0.6334 tons\u002Fha, an MAE of 0.5075 tons\u002Fha, and an MAPE of 9.81%, outperforming the evaluated individual regression models. Diagnostic plots further indicated close agreement between predicted and reference yields across most of the evaluated range. The MMRL workflow was also evaluated on a separately reconstructed synthetic dataset generated with fully specified distributions, sampling rules, noise terms, a yield generation equation, and fixed random seeds.","准确的水稻产量估算对农业规划、资源配置和粮食安全评估具有重要意义，但产量取决于气候、植被、遥感、季节和作物生长等多种因素的相互作用。本研究提出了一种用于连续水稻产量预测的多模态回归学习（Multi-Modal Regression Learning，MMRL）框架。该框架整合了降雨量、温度、湿度、归一化植被指数（NDVI）、VH合成孔径雷达（SAR）后向散射、季节、水稻种植面积和叶片湿润信息。在模型开发之前评估预测变量的相关性，并使用共同特征集训练多个回归学习器。其验证预测结果通过约束为和等于1的非负集成权重进行组合，从而生成单一优化预测。实验在代表卡纳塔克邦条件的建模时空农业数据集上进行，使用10,000个观测值进行回归比较。所提出的MMRL集成模型实现了R²为0.9515、RMSE为0.6334吨\u002F公顷、MAE为0.5075吨\u002F公顷、MAPE为9.81%，优于所评估的各个回归模型。诊断图进一步表明，在大多数评估范围内，预测产量与参考产量高度一致。MMRL工作流程还在一个单独重建的合成数据集上进行了评估，该数据集使用完全指定的分布、采样规则、噪声项、产量生成方程和固定随机种子生成。","Eng—Advances in Engineering","2026-10-18T00:00:00Z","论文",78,{"impact":17,"substance":300,"depth":17,"authority":98,"freshness":147,"relevant":21,"comment":301},22,"多模态回归集成方法在水稻估产上取得较高精度，方法新颖、数据规模明确，对农业信息化有参考价值，但属学术论文且数据集为模拟数据，产业影响有限。",[303],{"name":295,"url":292},[26,305,34,306,307],"农业人工智能","产量预测","遥感",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[310],{"code":179,"slug":311,"name":312,"path":313,"parent_code":314},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"status":39,"locked":14,"version":40,"method":41,"evidence":316},{"candidates":317,"agricultural_evidence":46},[318,322,327,333,339,343],{"code":32,"score":19,"supported":46,"title":319,"abstract":320,"tags":321},[33],[34,33],[34],{"code":179,"score":147,"supported":46,"title":323,"abstract":324,"tags":326},[],[307,325],"remote sensing",[306,307],{"code":71,"score":45,"supported":46,"title":328,"abstract":329,"tags":332},[],[330,331],"粮食安全","food security",[],{"code":334,"score":59,"supported":46,"title":335,"abstract":336,"tags":338},"J1",[],[337],"农业规划",[],{"code":52,"score":21,"supported":14,"title":340,"abstract":341,"tags":342},[],[],[26],{"code":344,"score":21,"supported":14,"title":345,"abstract":346,"tags":347},"I2",[],[],[305],[349,350],"水稻 产量预测 多模态","NDVI SAR 水稻估产","水稻产量预测多模态-5394","10.3390\u002Feng7100572",{"doi":352,"openalex_id":354,"authors":355,"venue":295,"cited_by_count":241,"oa_url":292,"card":361,"direction":365,"ingested_from":367},"W7222942064",[356,358],{"name":357,"orcid":8},"Nayana Venkatesh",{"name":359,"orcid":360},"Evangelin Geetha Devaraj","https:\u002F\u002Forcid.org\u002F0000-0002-7253-4314",{"tldr":362,"method":363,"finding":364,"direction":365,"opportunity":366},"构建多模态回归学习框架，融合气候、遥感与作物因子，实现水稻产量连续预测。","融合降雨、温度、NDVI、SAR后向散射等多源特征，用非负权重集成多个回归器。","集成模型R²达0.9515，RMSE为0.6334吨\u002F公顷，优于各单一回归模型。","农业遥感与作物表型","可引入真实田间多时相遥感与深度时序模型，验证合成数据结论在真实产区的泛化性。","openalex","2026-10-20T23:30:19.292634Z",{"id":370,"title":371,"url":372,"summary":373,"summary_zh":374,"content":8,"source_name":375,"source_url":372,"published_at":376,"category":297,"cover_url":8,"hotness":13,"is_selected":14,"score":377,"score_detail":378,"sources":381,"tags":383,"primary_topic":386,"secondary_topics":387,"classification":388,"search_phrases":430,"slug":433,"view_count":241,"doi":434,"paper":435,"created_at":449},5388,"A digital twin framework for proactive disease management in paddy cultivation using spatio-temporal graph neural networks","https:\u002F\u002Fdoi.org\u002F10.1080\u002F20421338.2026.2707951","Rice production is highly affected by disease outbreaks, particularly in Asian agricultural systems, resulting in major yield losses and excessive pesticide usage. This study proposes a digital twin framework for paddy cultivation that integrates predictive disease modelling with real-time crop phenology simulation to support proactive disease management. The framework utilizes historical phenological records, IoT-based microclimatic sensor data, irrigation information, and field management records collected from 150 hectares of paddy fields in Maharashtra, India. A Spatio-Temporal Graph Neural Network (ST-GNN), integrating Graph Convolutional Networks (GCNs) and Long Short-Term Memory (LSTM) networks, is employed to model spatial disease propagation and temporal crop dynamics for predicting blast, brown planthopper, and bacterial leaf blight outbreaks up to 14 days in advance. Experimental results demonstrate 87.3% prediction accuracy, 23.7% reduction in pesticide usage, and 31.2% reduction in crop losses, while outperforming traditional Random Forest and SVM models in F1-score performance. The proposed framework enables real-time decision support for sustainable precision agriculture and optimized resource management.","水稻生产极易受到病害暴发的影响，在亚洲农业体系中尤为突出，造成重大产量损失和农药过度使用。本研究提出一个水稻栽培数字孪生（digital twin）框架，将预测性病害建模与实时作物物候模拟相结合，以支持主动式病害管理。该框架利用从印度马哈拉施特拉邦150公顷稻田采集的历史物候记录、基于物联网的微气候传感器数据、灌溉信息及田间管理记录。采用融合图卷积网络（Graph Convolutional Networks, GCN）与长短期记忆网络（Long Short-Term Memory, LSTM）的时空图神经网络（Spatio-Temporal Graph Neural Network, ST-GNN），对病害空间传播与作物时序动态进行建模，以提前14天预测稻瘟病、褐飞虱和白叶枯病的暴发。实验结果表明，预测准确率达87.3%，农药使用量减少23.7%，作物损失减少31.2%，且在F1分数上优于传统随机森林（Random Forest）和支持向量机（SVM）模型。所提框架可为可持续精准农业和优化资源管理提供实时决策支持。","African Journal of Science Technology Innovation and Development","2026-10-19T00:00:00Z",80,{"impact":17,"substance":300,"depth":17,"authority":146,"freshness":379,"relevant":21,"comment":380},9,"方法新颖、数据规模明确且量化效果显著，属智慧农业细分领域实质进展，值得进入每日精选。",[382],{"name":375,"url":372},[26,305,34,384,385],"数字孪生","病虫害预警",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":389},{"candidates":390,"agricultural_evidence":46},[391,399,405,411,418,425],{"code":52,"score":392,"supported":46,"title":393,"abstract":395,"tags":398},19,[394],"digital twin",[396,384,397,394],"精准农业","precision agriculture",[384,26],{"code":32,"score":17,"supported":46,"title":400,"abstract":402,"tags":404},[401],"paddy",[34,403,33,401],"稻田",[34],{"code":215,"score":45,"supported":46,"title":406,"abstract":407,"tags":410},[],[408,409],"农药","pesticide",[],{"code":412,"score":45,"supported":46,"title":413,"abstract":414,"tags":417},"H3",[],[415,416],"灌溉","irrigation",[],{"code":419,"score":45,"supported":46,"title":420,"abstract":421,"tags":424},"I5",[],[422,423],"物联网","IoT",[],{"code":344,"score":53,"supported":46,"title":426,"abstract":427,"tags":429},[],[428],"decision support",[305],[431,432],"水稻 病害预测 数字孪生","ST-GNN 水稻 病虫害","水稻病害预测数字孪生-5388","10.1080\u002F20421338.2026.2707951",{"doi":434,"openalex_id":436,"authors":437,"venue":375,"cited_by_count":241,"oa_url":8,"card":442,"direction":448,"ingested_from":367},"W7222969403",[438,440],{"name":439,"orcid":8},"Jyoti Rani",{"name":441,"orcid":8},"Dr.  Narendra S.  Jadhav",{"tldr":443,"method":444,"finding":445,"direction":446,"opportunity":447},"构建水稻数字孪生框架，用时空图神经网络提前14天预测病害。","融合物联网微气候、物候与管理数据，用GCN+LSTM的ST-GNN建模。","预测准确率87.3%，农药减23.7%、损失减31.2%，优于RF与SVM。","农业人工智能与决策模型","可探索多尺度时空图建模与数字孪生闭环决策，并迁移至其他作物与区域。","智慧农业 \u002F 农业物联网","2026-10-20T23:30:12.636299Z"]