[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-987":3,"related-987":67},{"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":8,"secondary_topics":33,"classification":34,"search_phrases":62,"slug":65,"view_count":50,"doi":8,"paper":8,"created_at":66},987,"江苏省农科院院长朱艳出席中国畜牧兽医学会信息技术分会2026学术年会并发布一日龄雏鸡全自动断趾免疫断喙一体化设备","https:\u002F\u002Fwww.jaas.ac.cn\u002Fxww\u002Fnkyw\u002Fart\u002F2026\u002Fart_dd5774bbc20743c9b7f46224ea719e8d.html","近日，由江苏省农业科学院等单位联合承办的中国畜牧兽医学会信息技术分会2026年学术年会暨畜牧智能装备与智慧养殖学术研讨会在南京召开。大会以『智创未来、数融农牧：AI大模型与智能装备赋能现代畜牧业』为主题。江苏省农科院院长、党委副书记朱艳出席开幕式并致辞，党委委员、副院长王冉参加会议。在开幕式成果发布环节，江苏省农科院自主研发的一日龄雏鸡全自动断趾免疫断喙一体化设备首次发布，体现了智能技术与养殖生产场景的深度融合。柏宗春研究员作题为《我国家禽养殖装备『研产推用』发展现状、问题剖析与未来方向》的报告。",null,"近日，由江苏省农业科学院等单位联合承办的中国畜牧兽医学会信息技术分会2026年学术年会暨畜牧智能装备与智慧养殖学术研讨会在南京召开。\n\n大会以“智创未来、数融农牧：AI大模型与智能装备赋能现代畜牧业”为主题，汇聚国内外高校、科研院所、行业组织和企业代表，围绕畜牧智能化关键技术与装备前沿、产业实践和未来发展开展深入交流。院长、党委副书记朱艳出席开幕式并致辞，党委委员、副院长王冉参加会议。\n\n朱艳指出，智慧养殖既回应了人工智能加速演进的时代命题，也直面畜牧业稳产保供、降本增效、疫病防控、绿色低碳和质量安全的现实需求。面向“十五五”，我院愿与各方共同凝练产业真问题、建设开放创新平台、促进成果落地、托举青年成长，推动更多创新成果从实验室走向生产线、从学术设想转化为场景可见、产业可用的现实生产力。\n\n在主旨报告环节，柏宗春研究员作题为《我国家禽养殖装备“研产推用”发展现状、问题剖析与未来方向》的报告，围绕家禽养殖装备研发、生产、推广和应用各环节，分析产业发展现状与突出问题，并就强化协同创新、推动装备成果落地应用等提出思考。\n\n在开幕式成果发布环节，我院自主研发的一日龄雏鸡全自动断趾免疫断喙一体化设备首次发布，该设备体现了智能技术与养殖生产场景的深度融合，为提升畜牧业标准化、精准化和智能化水平提供了新工具。\n\n闭幕式上，院资深研究员、中国畜牧兽医学会信息技术分会荣誉理事长陆昌华发言，回顾了分会发展历程，展望了数智时代智慧畜牧发展的美好前景。\n\n本次会议的召开进一步推动智慧养殖关键技术、智能装备和应用场景协同创新，为畜牧业数字化、智能化转型升级和高质量发展注入新动能。","江苏省农业科学院 2026-08-25 · 2026-08-25","2026-08-25T00:00:00Z","报道",10,false,69,{"impact":17,"substance":18,"depth":19,"authority":19,"freshness":20,"relevant":21,"comment":22},20,18,12,7,1,"省级农科院发布自主研发设备，涉及智慧养殖与AI应用，有实质内容，但属行业会议报道，影响范围以省级为主。",[24],{"name":10,"url":6},[26,27,28,29,30,31,32],"智慧养殖","江苏省农科院","朱艳","畜牧智能装备","一日龄雏鸡","全自动","信息技术分会",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":38},"needs_review","2026-10-22.2","rules",{"candidates":39,"agricultural_evidence":43,"reason":61},[40,48,55],{"code":41,"score":42,"supported":43,"title":44,"abstract":46,"tags":47},"C",11,true,[45],"畜牧",[45],[],{"code":49,"score":50,"supported":43,"title":51,"abstract":52,"tags":54},"C3",3,[],[53],"家禽",[],{"code":56,"score":50,"supported":43,"title":57,"abstract":58,"tags":60},"I2",[],[59],"大模型",[],"多个产业证据相当，需要确认主归属",[63,64],"信息技术分会 江苏省农科院 畜牧智能装备 一日龄雏鸡","信息技术分会 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1](https:\u002F\u002Fwx.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F695893685\u002Fpicture\u002F20268\u002FS82a70a7ccde742e391e3d98983cb326c-700.png)\n\n![Image 2](https:\u002F\u002Fwx.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F695893685\u002Fpicture\u002F20268\u002FSf6c8c2144a864aa1a96848c1e67cce54-700.png)\n\n8月22日，李洪文、朱艳一行深入南通科创平台与农业生产一线调研，先后观摩南通智能感知研究院、北京大学长三角光电科学研究院以及通州区万亩粮田项目区智能农机作业现场。调研组详细了解农业智能感知技术、光电科创成果研发、智能农机装备示范推广等工作进展，围绕智能农机科技创新、产学研深度融合、农业科技成果落地应用等关键内容深入交流研讨，为南通用好高端科创资源，以科技赋能现代农业高质量发展出实招、提思路。\n\n院成果转化处、资环所、信息所、装备所负责人和相关科研骨干参加调研，沿江所主要负责同志陪同调研。\n\n![Image 3](https:\u002F\u002Fwx.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F695893685\u002Fpicture\u002F20268\u002FSca3d24464e3343d0b595a74c0f716d65-700.png)\n\n（文、责任编辑：魏亚凤；审核人：王顺祥）","江苏省农业科学院","2026-08-27T07:00:00Z",53,{"impact":80,"substance":19,"depth":81,"authority":42,"freshness":20,"relevant":21,"comment":82},15,8,"省级农科院领导调研盐碱地综合利用与智慧农业，涉及具体项目与科技应用，有一定信息量，但属常规工作报道，深度一般。",[84],{"name":76,"url":73},[86,87,27,28,88],"智慧农业","盐碱地","李洪文",{"code":90,"slug":91,"name":92,"path":93,"parent_code":94},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",[],{"status":97,"locked":14,"version":36,"method":37,"evidence":98},"classified",{"candidates":99,"agricultural_evidence":43},[100,105,110,116],{"code":90,"score":80,"supported":43,"title":101,"abstract":102,"tags":104},[87],[103,87],"土壤",[87],{"code":106,"score":19,"supported":43,"title":107,"abstract":108,"tags":109},"I1",[86],[86],[86],{"code":111,"score":50,"supported":43,"title":112,"abstract":113,"tags":115},"C4",[],[114],"饲草",[],{"code":117,"score":50,"supported":43,"title":118,"abstract":119,"tags":121},"F5",[],[120],"农机",[],[123,124],"江苏省农科院 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智慧农业","江苏省农科院智慧农业李洪文盐碱地-1087",2,"2026-08-30T00:11:09.542997Z",{"id":129,"title":130,"url":131,"summary":132,"summary_zh":8,"content":8,"source_name":133,"source_url":8,"published_at":134,"category":135,"cover_url":8,"hotness":13,"is_selected":14,"score":136,"score_detail":137,"sources":142,"tags":144,"primary_topic":149,"secondary_topics":154,"classification":160,"search_phrases":172,"slug":175,"view_count":176,"doi":8,"paper":177,"created_at":186},5534,"DC-YOLO：应对遮挡与光照变化的湖羊行为检测模型","https:\u002F\u002Ffinance.sina.com.cn\u002Froll\u002F2026-10-19\u002Fdoc-inivumaf7730137.shtml","中国农业大学团队针对集约化养殖中多目标严重遮挡、光照多变与类别不均问题，引入自适应细节—上下文注意力机制构建模块，并采用边界框相似度软抑制防止误删遮挡目标，预训练光照编码器迁移参数应对光照变化。数据集来自湖羊养殖场全天候监控，含505张标注图像、5类行为。","智慧农业（中英文）2026-10-19","2026-10-19T00:00:00Z","论文",75,{"impact":18,"substance":138,"depth":139,"authority":140,"freshness":68,"relevant":21,"comment":141},21,17,13,"论文提出面向湖羊行为检测的DC-YOLO模型，方法有新意、数据来自真实养殖场，属智慧养殖细分领域实质进展，值得精选。",[143],{"name":133,"url":131},[145,26,146,147,148],"农业人工智能","目标检测","湖羊","动物行为检测",{"code":150,"slug":151,"name":152,"path":153,"parent_code":41},"C2","ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants",[155],{"code":56,"slug":156,"name":157,"path":158,"parent_code":159},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":97,"locked":14,"version":36,"method":37,"evidence":161},{"candidates":162,"agricultural_evidence":43},[163,167],{"code":150,"score":19,"supported":43,"title":164,"abstract":165,"tags":166},[147],[147],[147],{"code":56,"score":13,"supported":43,"title":168,"abstract":170,"tags":171},[169],"YOLO",[],[145,146],[173,174],"中国农业大学 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农业物联网","可探索多模态融合与轻量化部署，提升复杂养殖场景下的实时行为监测能力。","agent","2026-10-22T00:07:09.998247Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":8,"content":192,"source_name":193,"source_url":8,"published_at":194,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":195,"score_detail":196,"sources":198,"tags":200,"primary_topic":8,"secondary_topics":203,"classification":204,"search_phrases":228,"slug":231,"view_count":126,"doi":8,"paper":8,"created_at":232},4761,"\"AI+农业\":如何从\"云\"上落到\"地\"里","https:\u002F\u002Fwww.agri.cn\u002Fzt\u002Fzhzz\u002Fzhsc\u002F202610\u002Ft20261010_8875651.htm","农民日报记者走访内蒙古、河北、江苏等地一线调研。展示蒙牛嘉立荷牧场牛脸识别、河北卢龙78座高标准智能温室、京津冀植保无人机、潍坊科技学院自动栽苗机器人等鲜活案例,呈现智慧农业从会种会养走向慧种慧养的产业图景。据智研咨询,2025年我国智慧农业市场规模约1200亿元,年复合增长率15.28%。文章呼吁打通技术成本与农户算账问题。","内蒙古和林格尔县的蒙牛嘉立荷生态牧场，和江苏连云港的东旺奶牛养殖基地，正运行着同一套“牛脸识别”系统。无需近距离拍摄，后台屏幕动态框出牛脸，饮食、健康、行为数据一目了然。\n\n“这不是保险理赔用的识别工具，而是智慧养殖工具。”系统研发方寿光市翔天农业科技有限公司副总经理刘守城说。每头牛都有“数字身份证”，全天候“点名”，可实现精确投喂。养殖数据直传农业、防疫部门，食品安全可追溯。试点以来，已覆盖超7000头牛，饲料利用率提升25%，发病率降低20%。","农民日报 中国农业农村信息网 2026-10-10","2026-10-10T00:00:00Z",72,{"impact":18,"substance":17,"depth":80,"authority":19,"freshness":20,"relevant":21,"comment":197},"以牛脸识别落地案例呈现AI养殖的实效数据，兼具产业参考价值与可复制经验。",[199],{"name":193,"url":190},[86,145,26,201,202],"食品安全追溯","牛脸识别",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":205},{"candidates":206,"agricultural_evidence":43,"reason":61},[207,212,218,224],{"code":106,"score":208,"supported":43,"title":209,"abstract":210,"tags":211},4,[],[86],[86],{"code":213,"score":50,"supported":43,"title":214,"abstract":215,"tags":217},"B7",[],[216],"温室",[],{"code":219,"score":50,"supported":43,"title":220,"abstract":221,"tags":223},"F4",[],[222],"植保",[],{"code":56,"score":21,"supported":14,"title":225,"abstract":226,"tags":227},[],[],[145],[229,230],"蒙牛 嘉立荷 牛脸识别","翔天农业 智慧养殖","蒙牛嘉立荷牛脸识别-4761","2026-10-13T00:08:33.631486Z",{"id":234,"title":235,"url":236,"summary":237,"summary_zh":238,"content":8,"source_name":239,"source_url":236,"published_at":240,"category":135,"cover_url":8,"hotness":13,"is_selected":14,"score":241,"score_detail":242,"sources":245,"tags":247,"primary_topic":8,"secondary_topics":252,"classification":253,"search_phrases":273,"slug":276,"view_count":21,"doi":277,"paper":278,"created_at":303},4370,"Effects of different nesting materials on crushing risk and sow posture changes in a farrowing system with temporary confinement","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffanim.2026.1960568","Introduction The provision of nesting material around farrowing is considered an important measure to support sow welfare, yet its practical implementation under commercial farrowing conditions remains limited. Methods This study evaluated the effects of different nesting materials on piglet crushing risk and sow activity in a commercial farrowing system with temporary crating for approximately 9 to 10 days around farrowing. A total of 263 farrowings were assigned to one of three material treatments: hay, straw, and a jute bag as minimal enrichment control. Nesting material use, farrowing performance, and crushing losses were recorded. In addition, sow activity during the first 72 h postpartum was quantified using a computer vision-based approach. Results Although substantial inter-individual variation was observed, the results show that nesting material type had no significant effect on material use. During the first three days postpartum, the odds of crushing were 46 % lower in the straw group compared to the jute bag control (p \u003C 0.05), whereas no significant difference was detected between hay and the control. No significant treatment effects were observed for crushing losses at the end of lactation. Sows provided with straw showed approximately 28 % fewer posture changes than control sows (p \u003C 0.05), and odds of crushing increased by approximately 8 % for every 10 posture changes (p \u003C 0.05). Discussion These findings indicate that not only the presence but also the functional properties of nesting material are relevant for piglet protection. The provision of structured materials such as long-stemmed straw represents a practical management measure to improve welfare outcomes under commercially relevant conditions and may contribute to more stable and less restless sow behavior during the critical periparturient period, even in systems with temporary confinement.","引言 在分娩前后提供筑巢材料被认为是保障母猪福利的重要措施，但在商业化分娩条件下其实际应用仍然有限。方法 本研究评估了在商业化分娩系统中，不同筑巢材料对仔猪压死风险和母猪活动的影响，该系统在分娩前后约9至10天采用临时限位栏。共将263次分娩分配到三种材料处理之一：干草、秸秆和黄麻袋作为最低限度富集对照。记录筑巢材料使用情况、分娩性能和压死损失。此外，采用基于计算机视觉的方法量化产后最初72小时内的母猪活动。结果 尽管观察到显著的个体间差异，结果表明筑巢材料类型对材料使用无显著影响。在产后最初三天内，秸秆组压死风险比黄麻袋对照组低46%（p \u003C 0.05），而干草组与对照组之间未检测到显著差异。在哺乳期末，未观察到处理对压死损失的显著影响。提供秸秆的母猪姿势变化次数比对照组母猪约少28%（p \u003C 0.05），且每10次姿势变化，压死风险增加约8%（p \u003C 0.05）。讨论 这些发现表明，不仅筑巢材料的存在与否，其功能特性也与仔猪保护相关。提供长茎秸秆等结构化材料代表了一种在商业相关条件下改善福利结果的实用管理措施，并可能有助于在围产期这一关键阶段使母猪行为更加稳定、减少躁动，即使在采用临时限位栏的系统中也是如此。","Frontiers in Animal Science","2026-10-06T00:00:00Z",73,{"impact":19,"substance":243,"depth":18,"authority":140,"freshness":81,"relevant":21,"comment":244},22,"基于263窝商业猪场数据的实证研究，发现稻草垫料可降低46%压仔风险并减少母猪姿态变化，对智慧养殖与动物福利管理有参考价值。",[246],{"name":239,"url":236},[248,26,249,250,251],"计算机视觉","生猪养殖","动物福利","精准畜牧",[],{"status":35,"locked":14,"version":36,"method":37,"evidence":254},{"candidates":255,"agricultural_evidence":43,"reason":61},[256,263,268],{"code":257,"score":20,"supported":43,"title":258,"abstract":259,"tags":262},"C1",[],[260,261],"母猪","piglet",[249],{"code":56,"score":20,"supported":43,"title":264,"abstract":265,"tags":267},[],[248,266],"computer vision",[248],{"code":269,"score":126,"supported":14,"title":270,"abstract":271,"tags":272},"C6",[],[],[250,251],[274,275],"母猪 临时限位栏 垫料 压仔","Frontiers in Animal Science 母猪 姿态变化","母猪临时限位栏垫料压仔-4370","10.3389\u002Ffanim.2026.1960568",{"doi":277,"openalex_id":279,"authors":280,"venue":239,"cited_by_count":176,"oa_url":295,"card":296,"direction":301,"ingested_from":302},"W7220744633",[281,283,286,289,292],{"name":282,"orcid":8},"Johann Wahmhoff",{"name":284,"orcid":285},"Martin Wutke","https:\u002F\u002Forcid.org\u002F0000-0001-7839-2751",{"name":287,"orcid":288},"Astrid L. van Asten","https:\u002F\u002Forcid.org\u002F0009-0001-9091-4732",{"name":290,"orcid":291},"Nicole Kemper","https:\u002F\u002Forcid.org\u002F0000-0003-0092-4302",{"name":293,"orcid":294},"Imke Traulsen","https:\u002F\u002Forcid.org\u002F0000-0001-9761-0291","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fanimal-science\u002Farticles\u002F10.3389\u002Ffanim.2026.1960568\u002Fpdf",{"tldr":297,"method":298,"finding":299,"direction":183,"opportunity":300},"比较三种垫料对母猪压仔风险和姿势变化的影响","263头次分娩试验，计算机视觉量化产后72小时母猪活动","稻草组压仔几率降46%，姿势变化少28%，每10次姿势变化压仔几率增8%","可结合计算机视觉实时监测母猪姿势，开发压仔风险预警模型","农业人工智能与决策模型","openalex","2026-10-07T23:30:43.774144Z",{"id":305,"title":306,"url":307,"summary":308,"summary_zh":8,"content":309,"source_name":310,"source_url":8,"published_at":311,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":312,"score_detail":313,"sources":316,"tags":318,"primary_topic":323,"secondary_topics":329,"classification":330,"search_phrases":343,"slug":346,"view_count":50,"doi":8,"paper":8,"created_at":347},3398,"江苏农科院'元宝枫种子产量和油脂品质提升关键技术创新与应用'成果转让公告——面向社会征寻合作伙伴","https:\u002F\u002Fwww.jaas.ac.cn\u002Fznbmxwlsml\u002Fcgzhc\u002Fart\u002F2026\u002Fart_f9b1d98a3df044b09919c5c43b0d56db.html","江苏省农业科学院休闲农业研究所'元宝枫种子产量和油脂品质提升关键技术创新与应用'成果转让公告截止日期至2026年9月27日。成果针对元宝枫种子产量低、品质离散度大的产业难题，通过外源物质保花保果提质增效、果实产量提升、神经酸积累提升三大技术实现产量与品质协同提升。同步公示'宁麦资770'成果转化价格108万元加提成，受让人为安徽丰德康种业有限公司，提成从2030年开始按0.03元\u002F公斤支付。","元宝枫种子产量和油脂品质提升关键技术创新与应用转让公告\n\n发布时间：2026-09-20 16:48 来源：成果转化处 浏览次数：36\n\n“元宝枫种子产量和油脂品质提升关键技术创新与应用”技术系江苏省农业科学院休闲农业研究所发明。根据《江苏省农业科学院知识产权管理办法（2026修正版）》的有关规定，现面向社会征寻合作伙伴，有意向的诚信企业以书面形式报名，报名表签字盖章后与企业营业执照扫描件发至邮箱。公告截止日期至2026年9月27日。\n\n转让联系：赵江涛 025-84390636\n\n技术咨询：马秋月 15910839029\n\nEmail：78033696@qq.com\n\n附件：[成果转化意向报名表.doc](http:\u002F\u002Fhome.jaas.ac.cn\u002Fapi-gateway\u002Fjpaas-web-server\u002Ffront\u002Fdocument\u002Fdownload?fileUrl=YW5UzzlvCwcM%2FNHHX%2FtT6FFr4EHAf%2BtoBJaSgJd1reZtg2O6rQvfq%2BooZtEkyRJUCqgM%2B9jB%2FsNmb%2F5fUd1wM2KhL1xAxHQFpPj8EtvzQ4Tjsr8d8UyMrkUnktaorzGUqPMmpJerrFtRJmIN0LCs%2BB78a%2FQ3Zx%2BjBOwDigwdXPc%3D&fileName=%E6%88%90%E6%9E%9C%E8%BD%AC%E5%8C%96%E6%84%8F%E5%90%91%E6%8A%A5%E5%90%8D%E8%A1%A8.docx)\n\n江苏省农业科学院成果转化处\n\n2026 年9月20日\n\n成果简要说明\n\n该成果针对元宝枫种子产量低、品质离散度大的产业难题，通过外源物质精准时期干预，提高元宝枫产量于品质协同提升。1.外源物质保花保果提质增效技术：采用花期精准调控，增强授粉坐果能力，稳定结实数量。2.果实产量提升技术：提高种子出仁率、含油率和千粒重，实现元宝枫种子产量提升。3.神经酸积累提升技术：促进神经酸等功能成分定向富集，缩小个体间品质差异，提高神经酸含量。适用于全国大部分地区的丰产林营建及低效林改造。\n\n打印此页 关闭窗口","江苏省农业科学院 2026-09-20","2026-09-20T00:00:00Z",59,{"impact":19,"substance":314,"depth":19,"authority":140,"freshness":68,"relevant":21,"comment":315},16,"省级科研机构成果转让公告，含具体技术要点与联系方式，对木本油料产业有一定参考价值，但属常规转化信息，公共影响有限。",[317],{"name":310,"url":307},[319,27,320,321,322],"成果转化","元宝枫","木本油料","神经酸",{"code":324,"slug":325,"name":326,"path":327,"parent_code":328},"G1","extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer","G",[],{"status":97,"locked":14,"version":36,"method":37,"evidence":331},{"candidates":332,"agricultural_evidence":43},[333,337],{"code":324,"score":208,"supported":43,"title":334,"abstract":335,"tags":336},[],[319],[319],{"code":338,"score":50,"supported":43,"title":339,"abstract":340,"tags":342},"F1",[],[341],"种业",[],[344,345],"江苏省农科院 元宝枫 成果转化","元宝枫 神经酸 种子产量","江苏省农科院元宝枫成果转化-3398","2026-09-25T00:09:29.774824Z",{"id":349,"title":350,"url":351,"summary":352,"summary_zh":8,"content":353,"source_name":354,"source_url":8,"published_at":355,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":356,"score_detail":357,"sources":360,"tags":362,"primary_topic":365,"secondary_topics":371,"classification":372,"search_phrases":396,"slug":399,"view_count":20,"doi":8,"paper":8,"created_at":400},3387,"从会种粮到'慧'种粮——中联重科岳麓智慧农场、常州艾宝机器人、温氏华系种猪、牧原智能猪舍AI兽医集体亮相","https:\u002F\u002Fnews.cyol.com\u002Fgb\u002Fkeji\u002Farticles\u002F2026-09\u002F23\u002Fcontent_v6vKznCP2x.html","中联重科岳麓智慧农场'天空地人机'协同智慧作业模式搭载多光谱相机巡田无人机最高飞120米、20分钟完成整片地块巡检，长势图精度达3米×3米网格；常州艾宝机器人四臂采摘猕猴桃机器人经第三方检测适合山坡丘陵地形，一台机器能节约7至8个人工；温氏股份、德康农牧'华系种猪育种技术与核心种源创制及应用'项目获国家科学技术进步奖一等奖；牧原股份智能化猪舍AI兽医全天候值守。","◎记者 刘立 王乔琪\n\n又是一年丰收季。田野之间，沉甸甸的果实背后，农业生产逻辑正在发生深刻变化。\n\n今年5月，国务院印发的《加快农业农村现代化“十五五”规划》明确提出：“推进人工智能运用和智慧农业发展。加快农业人工智能技术创新、应用场景拓展和产业生态营造。”\n\n近期，上海证券报记者在对部分农业种养殖龙头企业和农业展会的调研中发现，从种子实验室到果园大田，智能化工具正在把农业从经验驱动推向数据驱动。AI不再只是实验室概念，它正从育种、田间种植延伸到畜牧水产全链条，改写着传统农业依靠经验、看天吃饭的旧模式。\n\n**以AI打磨农业“芯片”**\n\n种业被称作农业的“芯片”。记者在采访中发现，快速发展的AI技术，正在缩短育种探索的漫长周期。\n\n在近日举办的全国种子双交会上，中种集团展台上一台ELISA蛋白全自动分析检测工作站设备吸引不少参会者驻足。据工作人员介绍，传统育种蛋白检测多采用人工、半自动化操作，通量低、稳定性差，而这台设备针对生物育种性状鉴定、蛋白定量筛查场景，可实现实验全流程无人自动化运行，日检测通量比人工高5倍以上，成本降低50%，且完全国产化。\n\n记者在采访中发现，AI正在把复杂的农业科研数据转化成通俗直观的结论。育种不再完全依靠科研人员肉眼观察记录，而是由仪器采集数据，AI完成解析筛选。\n\n上海泽泉科技股份有限公司研发的花粉活力仪可以应用于玉米、小麦、果树、大豆杂交育种项目，帮助科研人员精准把握授粉窗口，稳定后代品质。公司副总经理张凯峰对记者说：“过去做大豆、玉米、小麦等杂交育种，收集花粉之后，不知道花粉活性。我们的设备可以对每一粒花粉活性做量化测定，活性不达标的花粉直接淘汰。随着科技的普及，我相信，未来这些智能设备都会逐步下沉到普通农户。”\n\n一位农业专家对记者表示，AI并非颠覆传统育种，而是对育种体系的升级赋能。智能育种的核心，是依靠高通量设备获取标准化的基因组、表型组数据，依托算法挖掘基因与性状之间的关联，推动育种从过去依赖经验的“试错筛选”，转向数据驱动的“精准设计”，助力我国种业向育种4.0阶段迈进。\n\n**“空天地一体化”重构农业生产模式**\n\n在位于湖南长沙的中联重科岳麓智慧农场，中联智慧农业打造的“天空地人机”协同智慧作业模式，正在改写大田管护方式。\n\n以往人工巡查四五百亩稻田，要耗费一至两小时。中联智慧农业这套搭载多光谱相机的巡田无人机最高可飞120米，20分钟就能完成整片地块巡检，变焦可达100多倍，捕捉到虫害、长势异常等疑点便低空补拍核验。影像实时回传云端后，AI算法输出水稻长势图，精度可达3米乘以3米网格，明确标注地块补水、补肥位置与用量。\n\n天上完成巡查，地上设备随即落地执行。中联智慧农业部署的物联网灌排设备、微型气象站同步采集风、雨、光照数据，农户通过手机软件就能查看农事日历、操控田间设备。这种“按数据决策”的模式，改变了传统农业“凭经验跑田”的粗放管理方式。\n\n除了天上飞的无人机，地上走的机器人也开始应用到更多农业生产场景。\n\n在北京平谷的2026世界农业科技创新大会上，常州艾宝机器人有限公司研发的猕猴桃采摘机器人吸引了不少观众。公司工程师赵炳宇向记者介绍，这款四臂采摘机器人，经第三方机构检测，适合山坡丘陵地形，一台机器能够节约7至8个人工。现阶段设备尚处在定制阶段，已有3家企业完成定制采购。\n\n“我们主要从事AI智能水果采摘机器人研发，已突破多臂协同、视觉感知、自主导航等关键技术，已经推出苹果、葡萄、猕猴桃采摘等系列产品，目的就是推动采摘机器人从技术示范走向生产落地。”赵炳宇说。\n\n**农牧业智能化驶入快车道**\n\n中国是全球最大的猪肉消费国，年消费猪肉超过5000万吨。庞大的产业规模背后，是管理规模大、场景复杂的生猪养殖体系。如今，人工智能正加速渗透进这个最传统的行业。\n\n畜牧种业是畜牧业的“芯片”，在很长一段时间，国内要从海外进口种猪，还要高价采购海外生猪基因芯片，支付高昂的知识产权费。通常一头外引种猪的综合成本高达3万元至5万元。\n\n这一局面如今已被打破。日前，温氏股份、德康农牧等作为主要完成单位参与的“华系种猪育种技术与核心种源创制及应用”项目，荣获国家科学技术进步奖一等奖。该项目通过基因组选择、表型精准测定等技术创新，构建了华系种猪自主育种体系，创制了具有自主知识产权的核心种猪群体，标志着我国生猪核心种源实现高标准自主可控，彻底打破国外长期垄断格局。\n\n在河南，畜牧业龙头企业牧原股份的智能化猪舍里，AI兽医已投入全天候值守。\n\n“过去发现猪不吃食，饲养员找兽医、翻手册、凭经验判断，平均响应时间需要个把小时；现在从发现异常到推荐用药的闭环，仅需数秒。”牧原股份技术负责人介绍，名为“小牧助手”的AI应用，融合企业30余年养殖知识与全产业链330万套智能装备每日产生的20亿条数据，被封装为可嵌入日常流程的AI智能体。目前，牧原与阿里云合作共建的养猪大模型“猪小牧”已向全行业开放共享，助力行业高质量发展。\n\n此外，类似变革正在更多养殖场景中铺开。比如在水产养殖领域，广西防城港东兴市红树林农业有限公司的养殖基地引入AI“厂长”，集成AI算法、高清水下摄像头与传感器网络，24小时实时采集虾群数据，自动调控水阀与投料，每日精准投喂300余次。目前，该基地一年可养对虾5茬，年产量35万至40万公斤。\n\n【责任编辑：母建鑫】","中青在线 2026-09-23","2026-09-23T00:00:00Z",85,{"impact":358,"substance":243,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":359},26,"紧扣十五五规划AI+农业主线，覆盖育种、种植、养殖全链条，案例与数据扎实，具行业风向标价值。",[361],{"name":354,"url":351},[86,145,363,364,26],"智能农机","种业振兴",{"code":366,"slug":367,"name":368,"path":369,"parent_code":370},"B2","fruit","果树","\u002Ftopic\u002Fhorticulture\u002Ffruit","B",[],{"status":97,"locked":14,"version":36,"method":37,"evidence":373},{"candidates":374,"agricultural_evidence":43},[375,380,384,388,392],{"code":366,"score":50,"supported":43,"title":376,"abstract":377,"tags":379},[],[378],"猕猴桃",[],{"code":338,"score":21,"supported":14,"title":381,"abstract":382,"tags":383},[],[],[364],{"code":117,"score":21,"supported":14,"title":385,"abstract":386,"tags":387},[],[],[363],{"code":106,"score":21,"supported":14,"title":389,"abstract":390,"tags":391},[],[],[86],{"code":56,"score":21,"supported":14,"title":393,"abstract":394,"tags":395},[],[],[145],[397,398],"中联重科 岳麓智慧农场","温氏 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