[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4995":3,"related-4995":88},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":70,"slug":73,"view_count":21,"doi":74,"paper":75,"created_at":87},4995,"Визначення положення та геометричних параметрів сільськогосподарської техніки для автоматизованого керування процесом миття","https:\u002F\u002Fdoi.org\u002F10.15276\u002Fict.03.2026.76","The article develops and experimentally verifies a method for determining the position and geometric parameters of agricultural machinery for automated washing process control.The method combines photoelectric sensors for verifying the admissible position of the machinery and ultrasonic sensors for determining distances to its upper and side surfaces.Median filtering is used to reduce the influence of anomalous ultrasonic measurements, while the measured distances are converted into geometric parameters using the known dimensions of the experimental installation.The obtained parameters are used by the controller to define the permissible operating area and generate control actions for the washing carriage, pump, and air-blowing system.If the machinery is positioned incorrectly or exceeds the permissible dimensions of the working zone, the technological cycle is blocked.Experimental verification using the developed automated washing installation and a tractor model confirmed correct operation of the positioning subsystem and sufficient accuracy of ultrasonic measurements.The maximum absolute error did not exceed 2 mm.The proposed approach provides direct integration of sensor measurements into the control logic and enables adaptation of the washing cycle to the actual position and dimensions of the machinery.Further research should address the integration of computer vision and adaptive generation of washing-carriage trajectories.","本文提出并实验验证了一种用于自动化清洗过程控制的农业机械位置与几何参数确定方法。该方法结合光电传感器验证机械的允许位置，并利用超声波传感器确定其顶面和侧面距离。采用中值滤波降低异常超声测量的影响，同时利用实验装置的已知尺寸将测量距离转换为几何参数。控制器利用所得参数确定允许作业区域，并生成对清洗小车、水泵和吹风系统的控制动作。若机械位置不正确或超出工作区允许尺寸，则封锁工艺循环。利用所开发的自动化清洗装置和拖拉机模型进行的实验验证，证实了定位子系统的正确运行以及超声测量的足够精度。最大绝对误差不超过2 mm。所提方法实现了传感器测量与控制逻辑的直接集成，并使清洗循环能够适应机械的实际位置和尺寸。后续研究应关注计算机视觉的集成以及清洗小车轨迹的自适应生成。",null,"Ìnformatika, kulʹtura, tehnìka.","2026-10-13T00:00:00Z","论文",10,false,66,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},12,20,16,8,1,"该论文提出光电与超声传感器融合的农机自动清洗定位方法，实验误差不超过2毫米，方法新颖且数据可靠，但属细分技术进展，公共影响有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","农机装备","农业传感器","自动控制","超声测距",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"F5","machinery","农机装备与机械化","\u002Ftopic\u002Finputs-equipment\u002Fmachinery","F",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":45},[44,52,60,65],{"code":32,"score":13,"supported":45,"title":46,"abstract":47,"tags":51},true,[],[48,49,50],"农业机械","agricultural machinery","tractor",[27],{"code":53,"score":54,"supported":45,"title":55,"abstract":56,"tags":59},"I2",6,[],[57,58],"计算机视觉","computer vision",[],{"code":61,"score":21,"supported":14,"title":62,"abstract":63,"tags":64},"I1",[],[],[26],{"code":66,"score":21,"supported":14,"title":67,"abstract":68,"tags":69},"I5",[],[],[28],[71,72],"农业机械 自动清洗 定位","超声波传感器 农机 几何参数","农业机械自动清洗定位-4995","10.15276\u002Fict.03.2026.76",{"doi":74,"openalex_id":76,"authors":77,"venue":10,"cited_by_count":78,"oa_url":79,"card":80,"direction":84,"ingested_from":86},"W7221711885",[],0,"https:\u002F\u002Fict.od.ua\u002Findex.php\u002Fjournal\u002Fuk\u002Farticle\u002Fdownload\u002F186\u002F185\u002F620",{"tldr":81,"method":82,"finding":83,"direction":84,"opportunity":85},"开发并实验验证一种基于光电与超声传感器确定农机位置和几何参数以自动控制清洗过程的方法。","光电传感器验证位置，超声传感器测距，中值滤波降噪，转换为几何参数供控制器使用。","定位子系统运行正确，超声测量最大绝对误差不超过2毫米，可自适应调整清洗周期。","智慧农业 \u002F 农业物联网","可融合计算机视觉与自适应轨迹生成，提升农机清洗的智能化与柔性化水平。","openalex","2026-10-15T23:30:11.641686Z",{"total":54,"page":21,"page_size":54,"items":89},[90,136,193,262,323,395],{"id":91,"title":92,"url":93,"summary":94,"summary_zh":9,"content":9,"source_name":95,"source_url":9,"published_at":9,"category":96,"cover_url":9,"hotness":13,"is_selected":45,"score":97,"score_detail":98,"sources":104,"tags":106,"primary_topic":110,"secondary_topics":111,"classification":112,"search_phrases":130,"slug":133,"view_count":134,"doi":9,"paper":9,"created_at":135},5117,"中国农科院南京农机所发布农机智能引擎AMES1000 破解智能农机底层核心技术瓶颈","https:\u002F\u002Fwww.caas.cn\u002Fxwzx\u002Fmtxw\u002F152411b343ff453d841275f2d2a3999b.htm","农业农村部南京农业机械化研究所发布拥有完全自主知识产权的农机智能引擎AMES1000新产品,破解我国智能农机底层核心技术瓶颈。南京农机所创新提出农机智能引擎AMES概念,联合中农国科(南京)智能装备科技有限公司完成产品落地,实现自动驾驶、处方图精准作业、多机协同、故障诊断等六大核心功能,具备高稳定、高可靠、易扩展等优势,可广泛适配各类农机机型,覆盖耕、种、管、收全农业生产场景,目前已在拖拉机、插秧机、田间管理机器人等装备上开展田间验证与熟化。","新华社 中国农业科学院 2026 年 10 月","报道",89,{"impact":99,"substance":100,"depth":101,"authority":102,"freshness":20,"relevant":21,"comment":103},27,22,17,15,"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。",[105],{"name":95,"url":93},[26,107,108,109,27],"农业人工智能","智能农机","自主可控",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":113},{"candidates":114,"agricultural_evidence":45},[115,122,126],{"code":32,"score":116,"supported":45,"title":117,"abstract":119,"tags":121},19,[118],"农机",[118,48,120],"机械化",[27,108],{"code":61,"score":21,"supported":14,"title":123,"abstract":124,"tags":125},[],[],[26],{"code":53,"score":21,"supported":14,"title":127,"abstract":128,"tags":129},[],[],[107],[131,132],"南京农机所 AMES1000","农机智能引擎 AMES","南京农机所AMES1000-5117",2,"2026-10-17T00:13:39.688195Z",{"id":137,"title":138,"url":139,"summary":140,"summary_zh":9,"content":141,"source_name":142,"source_url":9,"published_at":143,"category":96,"cover_url":9,"hotness":13,"is_selected":45,"score":144,"score_detail":145,"sources":152,"tags":154,"primary_topic":157,"secondary_topics":158,"classification":165,"search_phrases":187,"slug":190,"view_count":191,"doi":9,"paper":9,"created_at":192},4256,"人民论坛实评：当秋收遇上AI 智慧农机迭代重塑农耕","https:\u002F\u002Fwww.rmlt.com.cn\u002F2026\u002F1005\u002F756557.shtml","人民论坛评论文章：今年秋收AI从实验室走进田间地头成为新农具。湖北枣阳农机手收割机北斗智能终端将行距误差控制在厘米级别；湖南衡阳烘干中心2.4万个传感器为20多个稻谷品种量身定制烘干曲线；浙江粮仓平台覆盖232家收储企业6750个仓房。十五五规划纲要提出农作物耕种收综合机械化率提高到80%以上。","湖北枣阳的农机手，靠着收割机的北斗智能终端，把行距误差控制在厘米级别；湖南衡阳的烘干中心里，2.4万个传感器，为20多个稻谷品种“量身定制”烘干曲线……今年秋收，AI从实验室走进田间地头，成为百姓身边的“新农具”。\n\n习近平总书记强调，中国式现代化离不开农业农村现代化。不同于传统农耕模式，伴随AI助手、北斗终端、智能烘干、数字仓储等科技装备全面落地，深度融入粮食收割、烘干、储运、加工全链条，智慧农机迭代升级、数字技术深耕田野，正是我国现代农业高质量发展的缩影。\n\nAI助手的意义，不只是让农民“少流汗”，更在于让每一粒粮食“颗粒归仓”。湖南衡阳角山米业的智慧粮食系统进入3.0版本后，较去年上一代系统出米率提升1%，整精米率提升3%以上。减损就是增产，提质就是增收。智慧农业的价值，首先体现在“减损增效”的硬账本上。\n\n智慧农业的想象力，远不止于效率的提升。以往农民种地是“看天吃饭、凭手感烘干”，而现在是靠数据“系统识别品种、自动派仓、变温烘干”。从“人脑决策”转向“人机协同”，从“粗放管理”转向“精准施策”。“浙江粮仓”平台，打通收、储、运、管全链数据，覆盖全省232家收储企业、6750个仓房，这种系统性的数字化改造，让粮食从田间到仓库的每一步都“有迹可循”。\n\n目前，我国人工智能在农业领域的应用取得显著成效，但仍面临瓶颈。这主要表现在：一是成本门槛高。一台搭载北斗终端的收割机、一套智慧粮食系统，投入动辄数十万甚至上百万，对中小农户而言，存在“看得见、用不起”的困境。同时，后续运维、流量、软件升级等隐性成本不低，投入回报周期偏长，也在一定程度上抑制购置和使用意愿。二是“数据孤岛”现象仍存。各地平台各建各的，标准不一、接口不通，农机数据、粮库数据难以共享，数据权属、隐私安全和收益分配机制有待健全。三是操作技术转型， 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":146,"substance":147,"depth":148,"authority":149,"freshness":150,"relevant":21,"comment":151},26,21,18,14,9,"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。",[153],{"name":142,"url":139},[26,107,27,155,156],"北斗终端","数字粮仓",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[159],{"code":160,"slug":161,"name":162,"path":163,"parent_code":164},"J4","seasonal-agriculture","农时与节庆活动","\u002Ftopic\u002Fpolicy\u002Fseasonal-agriculture","J",{"status":39,"locked":14,"version":40,"method":41,"evidence":166},{"candidates":167,"agricultural_evidence":45},[168,173,179,183],{"code":32,"score":148,"supported":45,"title":169,"abstract":170,"tags":172},[118],[118,120,171],"收割机",[27],{"code":160,"score":174,"supported":45,"title":175,"abstract":177,"tags":178},11,[176],"秋收",[176],[],{"code":61,"score":21,"supported":14,"title":180,"abstract":181,"tags":182},[],[],[26],{"code":53,"score":21,"supported":14,"title":184,"abstract":185,"tags":186},[],[],[107],[188,189],"浙江粮仓 数字收储","北斗智能终端 收割机","浙江粮仓数字收储-4256",3,"2026-10-06T00:04:59.998793Z",{"id":194,"title":195,"url":196,"summary":197,"summary_zh":198,"content":9,"source_name":199,"source_url":200,"published_at":201,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":202,"score_detail":203,"sources":205,"tags":207,"primary_topic":211,"secondary_topics":212,"classification":218,"search_phrases":244,"slug":247,"view_count":134,"doi":248,"paper":249,"created_at":261},4208,"High-Efficiency Solar-Piezo Hybrid Energy Harvester for Long-Term Autonomous Operation of Smart Agriculture Sensor Nodes","https:\u002F\u002Fdoi.org\u002F10.31838\u002Fece\u002F03.02.06","The paper presents the design and consideration of a highly efficient hybrid energy harvesting system, combined solar and piezo energy harvesting components to power autonomous wireless sensor nodes (WSNs) used in smart agriculture. The most important goal is to provide a maintenance free, long term operation of the sensor nodes in the envisioned variable conditions of environment. The suggested system consists of a monocrystalline solar panel and piezoelectric transducers that allow to focus both ambient light and mechanics vibrations. In-order to get maximum energy extraction, intelligent maximum power point tracking (MPPT) based power conditioning circuit is implemented, and the energy generated is stored using hybrid supercapacitor-Li-ion battery system. Up to the area of evaluation of the performance of the designed system in the real conditions, a particular WSN platform was created and deployed both in a greenhouse and an open field setting. The experimental output shows that the hybrid energy harvester records a 30-45 percent rise in energy capture than the solar-only systems. Moreover, efficiency of conversion of power is increased by about 22 % by using the MPPT implementation. The sensor nodes exhibited an outstanding reliability, surpassing 98 per cent of uptime in a 30-day non-stop deployment, and over 12 hours working autonomously without any illumination. The innovation in this study is the strength of the energy harvesting system, where supplementary sources are also utilized to increase the resilience and extend the operation weeks of smart agriculture WSNs, considering the shortcomings of using single sources in the uncontrollable outdoor situations.","本文介绍了一种高效混合能量收集系统的设计与思考，该系统结合了太阳能和压电能量收集组件，为智慧农业中使用的自主无线传感器节点（WSN）供电。最重要的目标是在预期的多变环境条件下，实现传感器节点的免维护、长期运行。所提出的系统由单晶硅太阳能板和压电换能器组成，能够同时利用环境光和机械振动。为了实现最大能量提取，采用了基于智能最大功率点跟踪（MPPT）的功率调节电路，并将产生的能量通过混合超级电容器-锂离子电池系统进行存储。为了在实际条件下评估所设计系统的性能，专门搭建了一个WSN平台，并在温室和露天田地环境中进行了部署。实验结果表明，与仅使用太阳能的系统相比，混合能量收集器的能量采集量提高了30%至45%。此外，通过采用MPPT实现，功率转换效率提高了约22%。传感器节点表现出卓越的可靠性，在30天不间断部署中正常运行时间超过98%，并在无任何光照条件下自主运行超过12小时。本研究的创新之处在于该能量收集系统的稳健性，其中还利用了辅助能源来增强智慧农业WSN的韧性并延长其运行周数，考虑到在不可控的户外环境中使用单一能源的局限性。","Progress in Electronics and Communication Engineering","https:\u002F\u002Fecejournals.in\u002Findex.php\u002FPECE\u002Farticle\u002Fview\u002F429","2026-10-22T00:00:00Z",70,{"impact":148,"substance":100,"depth":148,"authority":17,"freshness":78,"relevant":21,"comment":204},"论文提出太阳能-压电混合能量采集方案，实测能量捕获提升30-45%、节点在线率超98%，对智慧农业长期免维护传感部署有实质参考价值，但发表于半月后、时效性不足，暂不宜进入每日精选。",[206],{"name":199,"url":200},[26,208,28,209,210],"农业物联网","能量采集","无线传感器",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[213],{"code":66,"slug":214,"name":215,"path":216,"parent_code":217},"agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"status":39,"locked":14,"version":40,"method":41,"evidence":219},{"candidates":220,"agricultural_evidence":45},[221,226,231,237],{"code":61,"score":102,"supported":45,"title":222,"abstract":224,"tags":225},[223],"smart agriculture",[26,223],[26],{"code":32,"score":174,"supported":45,"title":227,"abstract":229,"tags":230},[228],"harvester",[228],[],{"code":66,"score":20,"supported":45,"title":232,"abstract":233,"tags":236},[],[234,235],"无线传感","wireless sensor",[28,208],{"code":238,"score":54,"supported":45,"title":239,"abstract":240,"tags":243},"B7",[],[241,242],"温室","greenhouse",[],[245,246],"太阳能 压电 混合能量采集","农业无线传感器 自供电","太阳能压电混合能量采集-4208","10.31838\u002Fece\u002F03.02.06",{"doi":248,"openalex_id":250,"authors":251,"venue":199,"cited_by_count":78,"oa_url":200,"card":256,"direction":84,"ingested_from":86},"W7219845622",[252,254],{"name":253,"orcid":9},"N. 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in Agriculture","基于无人机影像的无人联合收割机边缘作业路径规划。《计算机与电子在农业中的应用》","Computers and Electronics in Agriculture","2026-09-04T00:00:00Z",{"impact":102,"substance":148,"depth":19,"authority":102,"freshness":134,"relevant":21,"comment":271},"论文提出基于无人机影像的联合收割机路径规划方法，属于细分领域进展，但时效性较低。",[273],{"name":268,"url":265},[26,275,107,276,27],"无人机","路径规划",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":280},{"candidates":281,"agricultural_evidence":45},[282,286,290],{"code":32,"score":19,"supported":45,"title":283,"abstract":284,"tags":285},[228],[171,228],[27,276],{"code":61,"score":21,"supported":14,"title":287,"abstract":288,"tags":289},[],[],[26],{"code":53,"score":21,"supported":14,"title":291,"abstract":292,"tags":293},[],[],[107],[295,296],"农业人工智能 农机装备 智慧农业 路径规划","农业人工智能 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智能农机加速下乡","http:\u002F\u002Ftuopin.ce.cn\u002Fnews\u002F202610\u002Ft20261016_3260414.shtml","《山西省智慧农业行动计划（2026—2030年）》细化落地举措，围绕丘陵山地特点推进智慧农业先行先试、智慧农（牧、渔）场建设与技术创新。全省坡耕地1686.66万亩、占耕地总面积29.06%，为此加强丘陵山区智能农机研发引进，开展丘陵山区杂粮农机具研究，组建省级智慧农业产业技术体系。","**阅读提示**\n\n**我省依托科研院所与高校、企业联合攻关，量身研发本土化、适配型智能农机装备。当前，智能技术稳步融入耕种管收储全产业链条，推动农业生产实现精准管控、降本增效。同时，相关部门统筹推行农业社会化服务、落实专项政策补贴、开展定向技能培训等多项举措，打通技术落地堵点，构建智慧农业发展体系，让数字红利惠及广袤田野，书写黄土高原现代农业转型发展新答卷。**\n\n晨光破晓，阳光渐暖。太原市小店区北格镇梁家庄村的智慧农业大棚内，智能设备精准感知田间环境变化，保温卷帘随气温变化平稳升降，全程无需人工操作。\n\n这座由山西优班图科技股份有限公司联合山西农业大学（省农科院）共建的实验基地，是我省设施农业智能化升级的生动缩影，见证着传统农业向智慧农业转变的迭代蜕变。\n\n“大棚卷帘并非一次性全开，而是根据温度变化幅度循序渐进调节。”基地负责人李鹏飞介绍。大棚内各类传感器全天候实时采集温湿度、光照强度、二氧化碳浓度等核心环境数据，通过智能系统自动联动卷帘、通风、灌溉等设备，实现种植环境动态精准调控，彻底颠覆了传统“看天种地”的粗放模式，全面迈入“数据管棚”的智慧农业新阶段。\n\n农业新质生产力，核心是数字技术与农业生产的深度融合。2026年中央一号文件明确提出，要因地制宜发展农业新质生产力，促进人工智能与农业发展相结合，拓展无人机、物联网、机器人等应用场景。对标国家部署，《山西省智慧农业行动计划（2026—2030年）》细化落地举措，加快数字技术与农业深度融合，提升农业智能化水平，提高农业生产效率、资源利用率和农民收入，推动山西现代农业高质量发展。\n\n依托政策牵引、科研攻关、产业赋能，三晋大地各类智能农机、数字装备加速落地，贯穿农业生产全链条，为特色种养提质增效、群众稳定增收注入数字动能。\n\n**立足实际**\n\n**研发适配型智能农机**\n\n我省丘陵山地广、零散坡耕地多。第三次国土调查数据显示，全省坡耕地达1686.66万亩，占耕地总面积29.06%；梯田耕地达1421.68万亩，占耕地总面积24.49%。地块零散、坡度不均、田间道路狭窄，适配小块坡耕地的专用农机短缺，是丘陵山区农业提质增效的主要瓶颈。\n\n靶向破解本土生产难题，我省聚焦农业生产薄弱环节，联动科研机构、涉农企业、专业合作社精准攻关，量身研发适配丘陵山区作业的智能农机装备，补齐山区农业机械化、智能化短板。\n\n8月20日，娄烦县天池店乡南岔村马铃薯新优品标准化种植示范基地内，一垄垄马铃薯长势喜人，智能化种植设备的赋能成效尽显。\n\n“马铃薯长势旺盛，丘陵山区自走式马铃薯种植机发挥了重要作用。”娄烦润和美种植专业合作社负责人尤同义说。这款机具由山西省薯类产业技术体系专家赵旭志、贺孝兵团队研发，可一次性完成开沟、播种、起垄、镇压等一体化作业，通过起垄镇压保墒技术有效提升出苗率，精准解决了丘陵山区小地块大中型农机难进地、小型农机功能单一的行业痛点。\n\n不只马铃薯种植装备，多款适配山区地形的智能农机相继落地推广。针对农业生产各类细分痛点，山西农机科创持续发力、多点突破。\n\n由山西农业大学（省农科院）高粱研究所研究员白文斌团队研发的“大地智牛”全自主覆膜播种机器人，已在阳高、寿阳、襄垣、武乡、永和等多个山区县2000余亩耕地验证使用。该设备集成施肥、覆膜、铺设滴灌带、播种、覆土五道工序，可在6°及以下坡度耕地稳定作业，填补了国内丘陵山区覆膜播种智能农机的空白。设备作业时速稳定，可根据不规则曲线地块自主规划作业路径、动态调整速度，兼顾作业精度与生产效率。\n\n山西沃勃农业发展有限公司与山西农业大学（省农科院）园艺学院等科研部门，聚焦温室果蔬采摘用工紧缺、成本偏高、果实损伤率高的难题，融合多模态视觉与三维定位技术，成功研发履带式自主导航采摘机器人，实现果实精准识别定位、机械臂柔性低损采摘。一台机器人可替代2—3名采摘工，单棚年节约人力成本1.6万元以上。\n\n围绕玉米全生育期绿色除草需求，五台县城园丰农机制造有限公司联合清华大学天津高端装备研究所等单位，集成全地形移动平台、多模态感知组件、智能决策控制器、高精度导航系统、仿生物理除草与松土机构、复合能源系统及物联网作业平台，成功制造覆膜玉米智能除草机器人。该款机器人可自主建立地块与作物行地图，精准识别玉米苗株、杂草、地膜和障碍物，在实现清除田间杂草的同时完成土壤浅松。\n\n太原科技大学和山西农谷现代农业装备科技有限公司等单位，成功研制黄花菜智能采摘机器人。此款采摘机器人依托国际领先的并联机器人技术，可保障高速高精度作业；视觉系统利用高感光相机与多光谱融合增强方法，能快速识别花蕾进行轨迹规划；末端执行器采用了力位混合控制技术，可精准定位采摘点实现无损采摘；控制系统融合激光雷达等多传感器，可实现复杂田块自主导航与动态避障。\n\n一系列本土化、适配型智能农机的研发与落地，精准破解了我省丘陵山地农业生产的诸多短板，为推动山地农业从传统人工劳作向智能高效作业转型提供了全新选择。\n\n**全链赋能**\n\n**贯穿耕管收储全环节**\n\n8月23日，运城市盐湖区龙居镇南花村百忍堂冷库分选车间内，智能分拣设备全速运转，一颗颗红香酥梨经由传送轨道有序输送，通过多维度智能扫描，系统综合比对果体大小、重量、色泽、表皮瑕疵、内部品质等多项参数，依托智能算法自动分级、精准归类，实现标准化分选。\n\n“人工分拣没有统一标准，果品品相、大小参差不齐，很多优质梨果因分拣不规范，卖不上高端市场价。”冷库负责人张蓓坦言。智能分拣设备的投入使用，彻底补齐人工分拣的短板，让优质果品匹配高端价值，有效助力农户增收、产业提质。如今，智能化、数字化技术已全面渗透农业种植、田间管护、采收加工、仓储保鲜全链条，从单一设备示范应用，转向全流程、系统化智慧升级。\n\n田间管护更精细。春季小麦管护关键期，曲沃县曲村镇下坞村麦田里，搭载北斗定位的自由式喷灌机器人灵活作业，180米直径喷射范围实现360°无死角精准供水。相较于传统灌溉模式，设备节水55%左右，作业效率提升85%以上，既省水省力，又保障麦苗均匀受水、长势均衡。小麦灌浆期，临猗县统筹8支专业飞防队伍、119架植保无人机，对全县26.97万亩小麦开展“一喷三防”全覆盖作业，无人机按精准航线低空作业，均匀喷施药剂与叶面肥，筑牢粮食丰产防线。\n\n育苗耕种更高效。山西六新科技有限公司等单位联合研发的数智育苗机器人，搭载双模式自由切换、地块仿形自适应两大核心技术。设备可快速切换条播、撒播作业模式，自动根据苗圃凹凸地表调整播种高度，保证落种均匀；内置定量分料结构，适配大小不同农作物、蔬菜、林木、药材种子，可同步完成播种、覆土、轻度镇压一体化作业，整机机动灵活，适合露天苗圃大范围连续作业。\n\n田间作业更智能。山西恒赫百旺智能科技有限公司研发的丘陵山地无人设备，集成智能感知、精准决策、自主执行功能，可智能生成与坡地、梯田契合的自主飞行航线，实现定高、定速全自主飞行与定量施药作业。\n\n仓储保鲜更安全。太原先元科技有限公司等联合打造的粮食干燥仓储全流程管理系统，以中央集控调度机器人为核心，可智能识别粮食水分，动态调节作业温度、风量，精准完成粮食干燥处理；仓储阶段可24小时自动监测粮情、智能翻粮，全方位保障粮食存储安全。\n\n为持续拓宽智慧农业应用场景，今年7月，省工信厅、省农业农村厅联合发文，聚焦种植、养殖、农产品初加工三大重点领域，启动农业领域机器人典型应用场景遴选工作，以标杆场景引领农机装备创新迭代，推动全省农业机械化、智能化高质量发展。\n\n在北斗导航、智能感知、精准算法等技术支持下，智慧农机已成为三晋大地耕、种、管、收的生力军。\n\n左权县探索建立“县级统筹、农机到户、技术护航、补贴直达”四位一体工作模式，投放300余台配备北斗导航、无人驾驶功能的智能农机，实现耕、种、管、收全链条作业。据该县农业农村局工作人员介绍，智能农机依托导航系统规划作业路径，行距误差控制在2厘米以内，作业深度偏差不超1厘米，可有效杜绝漏耕、重耕问题，种子利用率提升15%以上，农业生产精细化、标准化水平显著提升。\n\n怀仁市依托智慧农机载体，以数据互联互通为支撑，搭建起涵盖耕、种、管、收各环节的智慧农事服务体系，助力当地农业由传统“会种地”向现代“慧种地”迭代升级，大力推行可感知、可控制、可决策的智慧农业发展模式。该市农业机械化发展中心主任郭亮介绍，自2023年起，当地逐步推广农机无人驾驶辅助系统，现有设备保有量约200套，有效降低人工与农资投入成本。\n\n**破解堵点**\n\n**构建长效发展体系**\n\n智能农机、数字装备的广泛应用，为我省农业转型升级、提质增效提供了有力支撑，但高端智能设备造价偏高、小农户购置能力不足等问题，仍然制约着全省智慧农业的规模化普及、全覆盖推广。\n\n“公司研发的履带式智能植保无人机可自主规划路线、24小时不间断作业，性能稳定高效，但价格偏高，目前主要推广于广西、海南等规模化果园种植区，省内仅万荣、临猗等林果大县落地应用。”山西添翼创新科技有限公司总经理闫太平道出行业共性难题。\n\n山西优班图科技股份有限公司等联合研发的智能水肥药一体机同样面临推广困境，设备可根据作物长势精准施肥喷药、节本增效，却因购置成本较高，让众多小农户望而却步。\n\n针对单家独户购置成本高、设备利用率低的痛点，各地立足小农户多、地块碎片化的农业实情，创新探索“智能农机共享+农业生产托管”模式，将高端智能装备转化为社会化服务的“公共农具”，让小农户便捷享受数字农业红利。\n\n社会化服务提质增效，助力普惠共享。临汾市翼城县益农区域农机社会化服务中心，依托全套智能农机装备开展规模化农业托管服务，全程托管土地2万余亩，单环节托管超10万亩，辐射带动周边大量小农户。通过统一智能化作业，实现亩均节本50元以上、增产15%，相关实践成功入选全国农机社会化服务典型案例，为全省智慧农机普惠化推广提供可借鉴的经验。\n\n政策精准托举，打通落地壁垒。相关部门积极落实农机购置与应用补贴政策，将农用无人机、田间智能监测设备、智能耕作机械等新型装备纳入补贴范围，推行优机优补、精准补贴，大幅降低经营主体购置成本。\n\n今年8月，省农机发展中心在清徐县举办农机购置与应用补贴产品现场演示评价活动。本次活动旨在严格规范补贴产品准入标准，夯实农机购置补贴政策实施基础，推动先进适用农机装备的推广应用。参评产品涵盖农用（植保）无人驾驶航空器、农用北斗辅助驾驶系统、北斗农机作业监测终端、田园管理机及微耕机五大品类148个型号。\n\n“我们研发智能农机的最终目标是让农民成为‘白领’，坐在办公室就能种地。”闫太平说，智能农机的广泛落地、高效应用，离不开高素质专业人才的支撑。\n\n今年7月，省农业农村厅印发了《2026年全省高素质农民培育工作实施方案》。根据方案，培育工作专门面向参与智慧农业项目的新型农业经营主体骨干、青年农民骨干、返乡入乡创业群体等重点人群，紧扣我省智慧农业发展核心需求，重点围绕智慧农业发展理念、物联网、大数据、人工智能等信息技术应用、智能农业装备应用、智慧农（牧、渔）场发展等开展培训，破解智能农机“无人会用、无人善用”的人才短板。\n\n同时，全省各地也在积极探索适应智能农机操作的高素质农民培养新途径。朔州市举办的农机手技能提升培训班专门增设北斗导航辅助驾驶、作业质量监测等智能终端操作课程，帮助农机手适应现代农业发展需求。\n\n交口县组织技术人员将无人机驾驶技术培训直接送到田间地头，围绕农业无人机的核心应用场景，从设备构造、飞行原理、安全规范到植保作业参数设置，进行从理论到实操的全流程教学。乡宁县培育30名持证飞手，组建本土专业技术队伍，可熟练操控植保无人机开展梯田智能化作业。\n\n从单点设备示范突破，到全链条技术赋能，我省逐步探索出一条“科研攻关+政策托举+服务赋能”的智慧农业发展路径。曾经依赖人力、看天吃饭的传统农业，正被数据驱动、智能管控的现代化农业重塑。智能农机不再是大型示范基地的专属配置，而是持续下沉千家万户田块的普惠工具，持续释放农业新质生产力效能，为黄土高原旱作农业现代化、三晋乡村全面振兴注入源源不断的数字动能。\n\n![Image 1](https:\u002F\u002Fnginx-sxrb.app.sxrbw.com\u002Fsxrb\u002Fepaper\u002Fpc\u002Fpic\u002F202610\u002F16\u002F49417_0ab510f3-011f-4e35-afe4-86c9214ec13f_l.jpg)\n\n大棚专用自主水肥药农情监测机器人正在进行喷药作业。本报记者 崔如意摄\n\n![Image 2](https:\u002F\u002Fnginx-sxrb.app.sxrbw.com\u002Fsxrb\u002Fepaper\u002Fpc\u002Fpic\u002F202610\u002F16\u002F49417_2321f7b6-ed58-493b-9175-92dbb5561970_l.jpg)\n\n丘陵山区自走式马铃薯种植机正在作业。本报记者 崔如意摄\n\n**相关链接**\n\n《山西省智慧农业行动计划（2026—2030年）》提出，我省将：\n\n1.推进智慧农业先行先试。开展“人工智能+”行动，打造以新技术集群和大模型为支撑的大田种植、设施农业、规模养殖等应用场景，示范推广智能化农机装备。鼓励各市、县因地制宜打造1—2个种植业、畜牧业、渔业等智慧农业应用场景。鼓励建设智慧农业应用引领区，推进种植方案与物联网智能装备、智能灌溉系统、智能农机设备、智慧管理平台等耦合应用。用好线上线下宣传渠道，总结推广智慧农业发展经验做法。\n\n2.推进智慧农（牧、渔）场建设。实施农（牧、渔）场智慧赋能计划，培育一批不同技术模式的智慧农（牧、渔）场。发挥规模主体带动作用，培育一批智慧农业发展社会化服务主体，集成推广智慧农业新技术、新装备。\n\n3.推进智慧农业技术创新。支持科研院校开展智慧农业技术模式研究、集成与推广，利用农业生产过程的数字化仿真、推演，形成最优种植、养殖管理方案。加快智能农机装备技术攻关，加强丘陵山区智能农机装备研发、引进，开展丘陵山区杂粮农机具研究。推进国家级智慧农业重点实验室建设。组建省级智慧农业产业技术体系，为智慧农业发展提供技术支撑。培育一批智慧农业领域科技领军企业，推进智慧农业技术研发、成果转化和产业化应用。促进应用场景需求和研发服务能力对接，推动新技术新产品应用推广。","中国经济网扶贫频道 2026-10-16",69,{"impact":18,"substance":148,"depth":19,"authority":174,"freshness":298,"relevant":21,"comment":404},"省级智慧农业综合报道，智能农机研发与全链应用案例扎实、信源多元，但时效偏旧，适合作为主题聚合素材而非当日精选。",[406],{"name":401,"url":398},[26,408,108,409,410],"农业机器人","丘陵山区","农业社会化服务",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":414},{"candidates":415,"agricultural_evidence":45},[416,420,424,429],{"code":32,"score":17,"supported":45,"title":417,"abstract":418,"tags":419},[118],[118],[108],{"code":61,"score":298,"supported":45,"title":421,"abstract":422,"tags":423},[],[26],[26],{"code":425,"score":21,"supported":14,"title":426,"abstract":427,"tags":428},"F6",[],[],[408],{"code":430,"score":21,"supported":14,"title":431,"abstract":432,"tags":433},"G2",[],[],[410],[435,436],"山西 智能农机 丘陵山区","山西 农业新质生产力 智慧农业","山西智能农机丘陵山区-5504","2026-10-22T00:06:58.505233Z"]