[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1584":3,"related-1584":90},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":74,"slug":77,"view_count":78,"doi":8,"paper":79,"created_at":89},1584,"面向农机轨迹行为模式识别的自监督学习图注意力网络（SSL-GAT）","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7680375842039497254","中国农业大学信息与电气工程学院翟卫欣、吕泽坤、李智超、潘家文，联合潍柴雷沃智慧农业科技股份有限公司、福建农林大学、根特大学，提出基于自监督学习的图注意力网络（SSL-GAT）用于识别农机的行为模式。研究引入多维特征增强模块、增强轨迹特征表示；提出双向特征融合模块同时捕获轨迹点间及点内的依赖关系；引入融合掩码注意力机制的图注意力网络捕捉轨迹点重要性差异。在水稻数据集上，SSL-GAT 取得 95.92% 准确率和 92.42% F1 分数；在小麦数据集上实现 93.92% 准确率和 90.72% F1 分数，较 GAN-BiLSTM 均有显著提升。",null,"农业与生物系统工程","2026-09-01T09:42:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,13,7,1,"提出SSL-GAT模型，在农机行为识别上取得显著精度提升，方法新颖且数据可靠，对智慧农业有实质推进。",[23],{"name":9,"url":6},[25,26,27,28,29],"智慧农业","农业人工智能","农机轨迹","行为识别","图神经网络",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"F5","machinery","农机装备与机械化","\u002Ftopic\u002Finputs-equipment\u002Fmachinery","F",[],{"status":38,"locked":13,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,50,56,63,69],{"code":31,"score":44,"supported":45,"title":46,"abstract":48,"tags":49},11,true,[47],"农机",[47],[],{"code":51,"score":52,"supported":45,"title":53,"abstract":54,"tags":55},"I1",4,[],[25],[25],{"code":57,"score":58,"supported":45,"title":59,"abstract":60,"tags":62},"A1",3,[],[61],"水稻",[],{"code":64,"score":58,"supported":45,"title":65,"abstract":66,"tags":68},"A2",[],[67],"小麦",[],{"code":70,"score":20,"supported":13,"title":71,"abstract":72,"tags":73},"I2",[],[],[26],[75,76],"农业人工智能 图神经网络 农机轨迹 智慧农业","农业人工智能 图神经网络","农业人工智能图神经网络农机轨迹智慧农业-1584",2,{"doi":8,"openalex_id":8,"authors":80,"venue":8,"cited_by_count":81,"oa_url":8,"card":82,"direction":86,"ingested_from":88},[],0,{"tldr":83,"method":84,"finding":85,"direction":86,"opportunity":87},"提出SSL-GAT模型，用自监督学习和图注意力网络识别农机轨迹行为模式，提升准确率。","多维特征增强、双向特征融合、掩码注意力图注意力网络，水稻和小麦轨迹数据集。","SSL-GAT在水稻和小麦数据集上准确率分别达95.92%和93.92%，优于GAN-BiLSTM。","农业人工智能与决策模型","可探索模型在多种农机类型和复杂农田环境下的泛化性，或结合实时数据流进行在线行为识别。","agent","2026-09-04T00:05:34.291123Z",{"total":91,"page":20,"page_size":91,"items":92},6,[93,138,177,278,331,376],{"id":94,"title":95,"url":96,"summary":97,"summary_zh":8,"content":8,"source_name":98,"source_url":8,"published_at":8,"category":99,"cover_url":8,"hotness":12,"is_selected":45,"score":100,"score_detail":101,"sources":107,"tags":109,"primary_topic":113,"secondary_topics":114,"classification":115,"search_phrases":133,"slug":136,"view_count":78,"doi":8,"paper":8,"created_at":137},5117,"中国农科院南京农机所发布农机智能引擎AMES1000 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月","报道",89,{"impact":102,"substance":17,"depth":103,"authority":104,"freshness":105,"relevant":20,"comment":106},27,17,15,8,"国家级科研机构发布完全自主知识产权的农机智能引擎，破解智能农机底层核心技术瓶颈，属产业级重大突破，信息增量与权威度俱佳，值得进入每日精选。",[108],{"name":98,"url":96},[25,26,110,111,112],"智能农机","自主可控","农机装备",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":116},{"candidates":117,"agricultural_evidence":45},[118,125,129],{"code":31,"score":119,"supported":45,"title":120,"abstract":121,"tags":124},19,[47],[47,122,123],"农业机械","机械化",[112,110],{"code":51,"score":20,"supported":13,"title":126,"abstract":127,"tags":128},[],[],[25],{"code":70,"score":20,"supported":13,"title":130,"abstract":131,"tags":132},[],[],[26],[134,135],"南京农机所 AMES1000","农机智能引擎 AMES","南京农机所AMES1000-5117","2026-10-17T00:13:39.688195Z",{"id":139,"title":140,"url":141,"summary":142,"summary_zh":8,"content":143,"source_name":144,"source_url":8,"published_at":145,"category":99,"cover_url":8,"hotness":12,"is_selected":13,"score":146,"score_detail":147,"sources":150,"tags":152,"primary_topic":155,"secondary_topics":156,"classification":157,"search_phrases":172,"slug":175,"view_count":58,"doi":8,"paper":8,"created_at":176},4768,"江苏省农科院与巴西Embrapa等共建中国—巴西人工智能应用合作中心","https:\u002F\u002Fwww.nongye31.com\u002Fnews\u002F2596.html","江苏省农业科学院与巴西农牧业研究公司Embrapa、南京农业大学、国机数科、国际民众合作协会签署合作谅解备忘录,共建中国—巴西人工智能应用合作中心。中心聚焦中小型智能农机、农业AI平台、作物生长模型等方向,依托巴西家庭农业场景开展技术验证,打造智慧农业南南合作标杆。","2026-10-09 09:09:27来源：江苏省农科院国合处  关键词：智慧农业中巴农业合作农业人工智能阅读量：35\n\n导读：江苏省农科院联合巴西 Embrapa 等多家单位签约共建中国 — 巴西人工智能应用合作中心，聚焦中小型智能农机、农业 AI 平台等联合攻关，依托巴西家庭农业场景开展技术验证与成果转化，打造智慧农业南南合作标杆。\n\n近日，江苏省农业科学院与巴西农牧业研究公司(Embrapa)、南京农业大学、国机数科、国际民众合作协会共同签署合作谅解备忘录，携手共建“中国—巴西人工智能应用合作中心”，以科技创新赋能全球粮食安全与农业现代化。江苏省农科院党委委员、副院长孙洪武出席签约仪式并作主旨发言。\n\n孙洪武重点介绍了江苏省农科院在科技服务与国际合作方面的工作成效。他建议合作各方应落实好人员互访、专家考察、联合研讨等任务，聚焦中小型智能农机、农业AI平台、作物生长模型等方向开展联合攻关，建设好智慧农机服务中心示范点，搭建好人员交流桥梁，携手推进合作中心建设，为深化中巴农业科技合作、保障全球粮食安全、推动农业现代化贡献力量。\n\n巴西农牧业研究公司总裁席尔维娅·马苏鲁哈介绍，Embrapa是拉美地区最大的国家级公立农业科研机构，巴西家庭农户占比超七成，热带农业种植与生产场景丰富，拥有成熟的农业试点研发体系。她期待深度依托合作中心，与包括江苏省农业科学院在内的中方单位深化协作，开展田间技术验证、农业数据共享与技术成果转化，打造金砖农业合作标杆案例。\n\n中国—巴西人工智能应用合作中心将深度整合产学研优势资源，以巴西家庭农业实际应用场景为需求牵引，以中方智慧农业先进技术为重要支撑，推进中巴双方在联合科研攻关、示范基地建设、人才交流培养等方面实现双向赋能、双向落地，探索形成可复制、可推广的智慧农业南南合作新模式。\n\n引用： 共建中国—巴西人工智能应用合作中心 助力智慧农业南南合作 江苏省农业科学院 [引用日期：2026年10月8日]\n\n本文系转载，转发此文目的在于促进信息交流，不存在盈利性目的，此文观点与本站立场无关，不承担任何责任，不做任何投资和交易根据。如无意侵犯媒体或个人知识产权请告知我们，我们将在第一时间做删除处理。\n\n上一篇：混动争锋、沃野竞技！200马力及以上混合动力拖拉机田间实地试验验证活动即将举行","农业商情网 2026-10-08","2026-10-08T00:00:00Z",73,{"impact":17,"substance":16,"depth":104,"authority":148,"freshness":91,"relevant":20,"comment":149},12,"省级科研机构牵头的中巴智慧农业国际合作，聚焦智能农机与农业AI平台，具行业示范价值，但属签约启动阶段、落地成果尚待观察。",[151],{"name":144,"url":141},[25,26,110,153,154],"南南合作","中巴合作",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":158},{"candidates":159,"agricultural_evidence":45},[160,164,168],{"code":31,"score":52,"supported":45,"title":161,"abstract":162,"tags":163},[],[47],[110],{"code":51,"score":52,"supported":45,"title":165,"abstract":166,"tags":167},[],[25],[25],{"code":70,"score":20,"supported":13,"title":169,"abstract":170,"tags":171},[],[],[26],[173,174],"江苏省农科院 Embrapa 人工智能","农业人工智能 中巴合作 南南合作 智慧农业","江苏省农科院Embrapa人工智能-4768","2026-10-13T00:08:35.638471Z",{"id":178,"title":179,"url":180,"summary":181,"summary_zh":182,"content":8,"source_name":183,"source_url":180,"published_at":184,"category":11,"cover_url":8,"hotness":185,"is_selected":13,"score":186,"score_detail":187,"sources":190,"tags":195,"primary_topic":200,"secondary_topics":205,"classification":212,"search_phrases":260,"slug":263,"view_count":20,"doi":264,"paper":265,"created_at":277},4573,"APPLICATION OF ARTIFICIAL INTELLIGENCE AND AUTOMATION TECHNOLOGIES IN MODERN AGRICULTURAL MACHINERY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23255982","The rapid development of artificial intelligence (AI), robotics, computer vision, Internet of Things (IoT), satellite navigation, remote sensing, and autonomous control systems is transforming the design and operation of modern agricultural machinery. Agricultural machinery is increasingly evolving from conventional mechanical equipment into intelligent cyber-physical systems capable of sensing field conditions, processing large volumes of data, making operational decisions, and executing agricultural tasks with limited human intervention. This article examines the application of artificial intelligence and automation technologies in tractors, harvesters, sprayers, robotic platforms, unmanned aerial vehicles, and other agricultural machinery. The study is based on a systematic analysis of scientific publications, international institutional reports, and documented agricultural technology adoption data. Particular attention is given to autonomous navigation, machine vision, precision spraying, variable-rate application, crop monitoring, yield prediction, robotic weeding, harvesting, and safety systems. Evidence from the United States demonstrates substantial growth in precision-agriculture adoption: automated guidance systems were used on more than half of the acreage planted to several major crops, while in 2023 guidance autosteering was used by 52 percent of midsize farms and 70 percent of large-scale crop-producing farms. Scientific literature also demonstrates the growing role of machine learning in yield estimation, nitrogen management, disease detection, and robotic perception. However, high acquisition costs, inadequate rural connectivity, data governance issues, cybersecurity, technical complexity, and safety risks remain significant barriers. The study concludes that AI-enabled agricultural machinery can contribute to higher operational efficiency, more precise input application, reduced operator fatigue, improved resource management, and greater agricultural sustainability, provided that technological development is accompanied by appropriate infrastructure, human-capacity development, interoperability standards, and safety regulation.","人工智能（AI）、机器人技术、计算机视觉、物联网（IoT）、卫星导航、遥感及自主控制系统的快速发展，正在深刻改变现代农业机械的设计与运行方式。农业机械正日益从传统机械设备演变为智能信息物理系统，能够感知田间条件、处理海量数据、做出作业决策，并在有限人工干预下执行农业任务。本文探讨了人工智能与自动化技术在拖拉机、联合收割机、喷雾机、机器人平台、无人机及其他农业机械中的应用。研究基于对科学文献、国际机构报告及已记录的农业技术采用数据的系统分析。重点关注自主导航、机器视觉、精准喷雾、变量施用、作物监测、产量预测、机器人除草、收获及安全系统。来自美国的证据表明，精准农业的采用率大幅增长：自动导航系统已应用于多种主要作物一半以上的种植面积，而2023年，52%的中型农场和70%的大型作物生产农场使用了导航自动转向技术。科学文献也表明，机器学习在产量估算、氮素管理、病害检测和机器人感知中的作用日益增强。然而，高昂的购置成本、农村网络连接不足、数据治理问题、网络安全、技术复杂性及安全风险仍是重要障碍。研究结论认为，在技术发展的同时配套适当的基础设施、人力能力建设、互操作性标准和安全监管，人工智能赋能的农业机械能够有助于提高作业效率、实现更精准的投入施用、减轻操作人员疲劳、改善资源管理并增强农业可持续性。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-09T00:00:00Z",25,81,{"impact":17,"substance":188,"depth":16,"authority":18,"freshness":105,"relevant":20,"comment":189},20,"系统梳理AI与自动化在农机领域应用的综述性论文，含美国精准农业采纳率等实证数据，对智慧农业主题聚合有较高参考价值。",[191,192],{"name":183,"url":180},{"name":193,"url":194},"International Bulletin of Engineering and 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一时跟不上机器的迭代。一些农民面对智能设备仍手足无措，设备更新了，技能跟不上，再好的AI也成了“摆设”。为此，既要有基础设施、智慧农机等“硬投入”，也需优化数据治理、培训指导等“软服务”，让人工智能扎根田间地头。\n\n“十五五”规划纲要对“强化农业科技和装备支撑”作出部署，提出“农作物耕种收综合机械化率提高到80%以上”的目标。针对成本门槛，加大农机购置补贴力度，探索智慧农业设备“共享租赁”“按需付费”等模式，降低中小农户的使用门槛；针对“数据孤岛”，加快制定统一的数据标准、接口规范和安全规则，实现数据共享；针对人才短板，把培训送到田间地头，依托农技站、合作社和龙头企业开展场景化教学，带动更多农民跨越“数字鸿沟”。\n\n智慧农业不是“替代农民”，而是“赋能农民”，让农民从繁重体力劳动中解放出来，成为“会种地”更“慧种地”的新型农民。为此，看待智慧农业发展，还需用辩证眼光。既看到其提效减损的巨大潜力，也正视其落地生根的现实障碍；既拥抱技术进步，也守住“为农服务”的初心。\n\n让AI在田埂上生根发芽，需要的不仅是算法的迭代，更是政策、人才、基础设施的协同发力。当农民在秋收时节收获的不仅是沉甸甸的稻谷，还有实实在在的获得感，“智慧农业”才算踏踏实实落了地。","人民论坛网 2026-10-05","2026-10-05T00:00:00Z",88,{"impact":288,"substance":289,"depth":16,"authority":290,"freshness":291,"relevant":20,"comment":292},26,21,14,9,"央媒评论系统梳理AI秋收落地成效与成本、数据孤岛、人才三大瓶颈，兼具政策高度与产业细节，值得精选。",[294],{"name":284,"url":281},[25,26,112,296,297],"北斗终端","数字粮仓",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[300],{"code":301,"slug":302,"name":303,"path":304,"parent_code":305},"J4","seasonal-agriculture","农时与节庆活动","\u002Ftopic\u002Fpolicy\u002Fseasonal-agriculture","J",{"status":38,"locked":13,"version":39,"method":40,"evidence":307},{"candidates":308,"agricultural_evidence":45},[309,313,318,322],{"code":31,"score":16,"supported":45,"title":310,"abstract":311,"tags":312},[47],[47,123,228],[112],{"code":301,"score":44,"supported":45,"title":314,"abstract":316,"tags":317},[315],"秋收",[315],[],{"code":51,"score":20,"supported":13,"title":319,"abstract":320,"tags":321},[],[],[25],{"code":70,"score":20,"supported":13,"title":323,"abstract":324,"tags":325},[],[],[26],[327,328],"浙江粮仓 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Gao)","2026-09-18T00:00:00Z",74,{"impact":16,"substance":188,"depth":103,"authority":18,"freshness":91,"relevant":20,"comment":340},"核心期刊综述提出观测-异质性-基础设施三位一体框架，对自主农机系统级落地有参考价值，但属学术综述、时效一般，适合主题聚合而非每日精选头条。",[342],{"name":336,"url":334},[25,26,344,345,346],"多模态感知","自主农机","Agriculture 4.0",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":350},{"candidates":351,"agricultural_evidence":45},[352,356,360],{"code":31,"score":44,"supported":45,"title":353,"abstract":354,"tags":355},[122],[122],[],{"code":51,"score":291,"supported":45,"title":357,"abstract":358,"tags":359},[25],[],[25],{"code":70,"score":78,"supported":13,"title":361,"abstract":362,"tags":363},[],[],[26,344],[365,366],"自主农业机械 集成框架","Resources Data Journal 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从自动驾驶农机到直播带川货 四川丰收节现场看农业“新变化”\n\n2026-09-23 22:04·[川观新闻](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAATWhymKV2Nylz8CurTDi-JElDP9oQyPA3W8UYZjI3sXA\u002F?source=tuwen_detail)\n\n[Video 3](https:\u002F\u002Fv6-web.toutiaovod.com\u002Fcd96ae7433f1fe200b7977133b4fda24\u002F6ab9bcf6\u002Fvideo\u002Ftos\u002Fcn\u002Ftos-cn-ve-31\u002FogIAUyqSQ39S2IfBa9Am5IE1zg9NsoZBfqRqLj\u002F?a=24&ch=0&cr=0&dr=0&er=0&cd=0%7C0%7C0%7C0&br=1608&bt=1608&cs=0&ds=3&ft=hGkwBy6LRR0s~hC32D12Nc.xBiGNbLPj8bRU_4TjILJJNv7TGW&mime_type=video_mp4&qs=0&rc=OGc0ZDM5OGU3aDRnNmk2PEBpajw7dDtvOjV3ZDMzNGkzM0BeMDZfXjVfNTQxYl8tNTQ0YSNjbTZzYWEvbW1hLS1kLmFzcw%3D%3D&btag=c0000e00018000&dy_q=1790553787&feature_id=5ecd8ea3ca9c3306454bb2c337ee3553&l=20260928080307AD2B8755F29209F90B2C)\n不支持的音频\u002F视频格式 请试试 刷新\n\n播放\n\n00:00\u002F00:00\n\n00:00\n\n进入全屏\n\n50\n\n川观新闻记者 昙昊\n\n9月23日，2026年中国农民丰收节四川省庆丰收主场活动在资阳市乐至县劳动镇庙山村举行。与其说这里是一场丰收的庆典，不如说是一场四川农业“新家底”的集中展示——农机下田作业、机器人巡田、直播间卖川货，传统乡土技艺与现代农业科技同场亮相。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F6e8f309b99ab4d0c9fae360413b13c7e~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=ilXo7%2BLYsOQY0u0%2FPERX0GxHMqo%3D)\n主舞台开场歌舞环节，人形机器人与歌手、舞蹈演员同台表演。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F0e081707092d9a19654696a349994157~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=Tdjkmzo37bHzocBpjYmA9GEe5qI%3D)\n主会场观众席内，观众观演热情高涨。\n\n“怎么种田”，现场先给出了科技答案。在农机作业展示区，40台国内先进、丘区适用农机集中亮相，自动驾驶高速插秧机、自走式玉米收获机、植保无人机等装备直接参与作业。过去需要人工完成的耕种、收获等环节，如今越来越多交给机器完成。尤其针对四川丘陵地区地块分散、道路条件复杂等特点，一批“小而灵活”的农机装备也成为现场看点。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F41927b9f7330d129be6aaa3bb75ca490~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=ysjMLr%2BK5zjVP%2FIe3wYrBy0CuXk%3D)\n智慧农业展示区内，大型农机正在演示水稻收割作业。\n\n![Image 4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F9ef4baf8665bb3ec03f04258a07c7a4c~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=XgtHJ6OIOeL%2FmFZcZ9V024c9QgQ%3D)\n小型农机展示区内陈列的特色农机——柑橘采摘机器人。\n\n“怎么管田”，则更多交给智慧农业。在智慧农业展示区，27个省内外智慧农业创新成果集中展示，从“天工开悟”农业智能体平台，到空地协同巡田机器人系统，农业生产中的感知、决策、作业等环节被纳入智能化体系。\n\n丰收之后，还要“卖得好”。活动现场设置“天府粮仓”金秋消费季和农产品电商直播展示区，21个市州特色农产品集中亮相，“一村六员一主播”代表走进直播间，为川字号农产品吆喝。\n\n![Image 5](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fe37c18c6052f722853560e22ee94ffdc~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=mTzpe6XiR3rLeJuVXu4w4EmNjbA%3D)\n农产品电商直播展示区内，带货主播正在售卖特色川货。\n\n而在另一侧，22项非遗技艺通过“画、织、装、剪、品”五艺绘丰收，把乡土记忆搬进庆丰收现场。\n\n![Image 6](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fff4b39cbde88516442a68cabe494e74e~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=CgkBaZvufxznQrcCB7RcCxEFgew%3D)\n主会场上演了丰富的庆丰收歌舞表演节目。\n\n![Image 7](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fe3428ed0baea69ba9f87bb1e9c3adb65~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=dCuqeQonUQ3xXEhu5hk7nXXEhnI%3D)\n“庆丰收”舞台上，舞龙表演团队正在入场。\n\n![Image 8](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F4c433e6e1ca19871151cdc6d2a29a633~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=SOAF13O049PzGYhUx8de5%2FKHEZE%3D)\n非遗展示区内，参加丰收节的观众正在品尝特色农产品。\n\n![Image 9](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F4cae36fdb4a0a4101389f5ef07f7854f~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=%2FlYgHzAKVfnzSoHMTtw%2BTS3hF2g%3D)\n参加丰收节的观众正在观看丰收题材摄影展。\n\n![Image 10](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F391ed283270396ae18dbdb36036a3edd~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=J%2Fetz34jzLNRIDtwxz1O8XiiitQ%3D)\n非遗展示区内，参展业主正在制作安岳米卷。\n\n![Image 11](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fb16a33718373e66d9ee6cd46773b0052~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791158583&x-signature=WyE2MPLhE4e5u6h9ZfxtWN8qOm0%3D)\n主会场观众席座无虚席，场外还有大批村民围观表演。\n\n从机器下田，到智慧管田，再到直播卖货，今年四川丰收节展示的不只是“收成”，也是一幅正在发生变化的天府农业新图景。","川观新闻（今日头条转载）2026-09-23","2026-09-23T00:00:00Z",56,{"impact":386,"substance":104,"depth":148,"authority":291,"freshness":52,"relevant":20,"comment":387},16,"省级丰收节现场报道，集中展示40台丘区适用农机与27项智慧农业成果，有实质信息但时效偏旧、深度一般。",[389],{"name":382,"url":379},[25,26,391,392,393],"丰收节","农产品直播","丘陵农机",{"code":301,"slug":302,"name":303,"path":304,"parent_code":305},[396],{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},{"status":38,"locked":13,"version":39,"method":40,"evidence":398},{"candidates":399,"agricultural_evidence":45},[400,404,408,412,418,424,429],{"code":301,"score":148,"supported":45,"title":401,"abstract":402,"tags":403},[391],[391],[391],{"code":31,"score":44,"supported":45,"title":405,"abstract":406,"tags":407},[47],[47],[],{"code":51,"score":52,"supported":45,"title":409,"abstract":410,"tags":411},[],[25],[25],{"code":413,"score":58,"supported":45,"title":414,"abstract":415,"tags":417},"A3",[],[416],"玉米",[],{"code":419,"score":58,"supported":45,"title":420,"abstract":421,"tags":423},"E5",[],[422],"农产品电商",[],{"code":250,"score":58,"supported":45,"title":425,"abstract":426,"tags":428},[],[427],"植保",[],{"code":70,"score":20,"supported":13,"title":430,"abstract":431,"tags":432},[],[],[26],[434,435],"四川丰收节 乐至 丘区农机","天工开悟 农业智能体","四川丰收节乐至丘区农机-3631","2026-09-28T00:02:58.061609Z"]