[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3427":3,"related-3427":86},{"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":44,"search_phrases":81,"slug":84,"view_count":21,"doi":8,"paper":8,"created_at":85},3427,"湖北省科技服务茶叶产业链'515'行动暨山地茶园机械化生产及碾茶加工技术现场观摩培训活动在保康举办","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7687205549078888979\u002F","9月15日湖北省科技服务茶叶产业链'515'行动（协同推广）暨山地茶园机械化生产及碾茶加工技术现场观摩培训活动在襄阳市保康县举办。活动由湖北省农业科学院果树茶叶研究所主办，襄阳市农业科学院、保康县农业农村局承办，110余人参会。无人机修剪、茶园采摘、施肥、植保等机械化作业轮番演示；山地轨道运输系统沿坡而上，智慧化茶园管理应用实时呈现；碾茶加工车间标准化生产流程一目了然。",null,"湖北日报讯（通讯员桂安辉）无人机掠过茶行，轨道车爬坡运叶，智能化碾茶生产线匀速运转……9月15日，湖北省科技服务茶叶产业链“515”行动（协同推广）暨山地茶园机械化生产及碾茶加工技术现场观摩培训活动在襄阳市保康县举办。活动由湖北省农业科学院果树茶叶研究所主办，襄阳市农业科学院、保康县农业农村局承办，襄阳市竹林翠峰茶业有限责任公司、湖北荆襄红茶业有限公司协办。\n\n省果茶办公室副主任赵昆松，省农科院果茶所党委书记陈沫，省农科院果茶所副所长、省科技服务茶叶产业链“515”行动技术牵头人高士伟，襄阳市农业农村局副局长程建胜，襄阳市农业科学院院长罗敬东、纪委书记罗小刚，保康县委副书记王晓静等领导出席活动。\n\n会议特别邀请中国农业科学院茶叶研究所尹军峰研究员、农业农村部南京农业机械化研究所宋志禹研究员作专题报告，省农科院果茶所研究员郑鹏程、金孝芳，华中农业大学副教授余志三名科技服务茶叶产业链“515”行动课题负责人作技术培训。来自全省各茶叶主产区市州农业技术推广部门、农科院、协作企业及媒体记者等110余人参加本次观摩培训活动。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F963832cca88a4b15950d56c467cda61a~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790900173&x-signature=pzZBqp%2FPTphYnz%2B7GXA1E53oRIM%3D)\n\n**从茶园到车间，看“机器换人”如何落地**\n\n上午，与会人员先后走进保康县黄堡镇黄龙沟村茶园、荆襄红罗仕沟茶园和保茶集团。在黄龙沟村茶园，无人机修剪、茶园采摘、施肥、植保等机械化作业轮番演示，山地茶园高效管理的最新成果“看得见、摸得着”；在罗仕沟茶园，山地轨道运输系统沿坡而上，智慧化茶园管理应用实时呈现，碾茶加工车间标准化生产流程一目了然；在保茶集团，智能化名优茶和碾茶加工车间里，设备运行、成品展示吸引代表驻足询问。\n\n一路“看现场、听讲解、观流程”，与会人员直观感受到山地茶园机械化生产与碾茶加工提质增效带来的新气象，对破解山地茶园劳动力短缺、降低生产成本、提高夏秋茶原料利用率有了更真切的认识。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F22552e8436c11e65007d5e9f374cad79~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790900173&x-signature=4EF81UWTPlLxUpeH1KZ3ZjqLp18%3D)\n\n**从趋势到实操，听专家如何“开方”**\n\n下午的培训交流会上，保康县政府、襄阳市农业农村局及省农科院果茶所领导分别致辞。尹军峰研究员围绕碾（抹）茶产业发展现状与未来前景，宋志禹研究员围绕山地茶园机械装备与应用，分别作深入讲解，为湖北省茶产业未来发展提供了有益参考。\n\n随后，金孝芳、余志、郑鹏程分别就“鄂茶201”等省主导新品种示范推广、宜机化茶园改造技术、茶叶智匀摊青机研发与应用开展技术培训。台上讲趋势、教方法，台下听门道、找答案，培训既有产业趋势的“望远镜”，也有落地操作的“工具包”。\n\n**从短板到路径，让“515”行动走深走实**\n\n赵昆松在总结讲话中指出，本次观摩培训活动是落实全省茶产业链建设部署、推动科技赋能茶产业高质量发展的重要举措。他要求，科技服务茶叶产业链“515”行动团队和各级农业技术推广部门要紧紧围绕产业所需、农民所要，聚焦山地茶园机械化短板和茶叶加工提质关键环节，加大新技术、新装备、新模式的示范推广力度，切实发挥“515”行动在科技支撑茶产业链建设中的引领作用；要认真学习借鉴各位专家的宝贵经验和先进技术，不断提升全省茶园建设生态化与茶叶加工标准化水平，全力做好茶文化、茶产业、茶科技三篇文章，奋力推进全省茶产业高质量发展。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F9b4c908be606656ffef8a5e1edddc579~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790900173&x-signature=k1IptgyIHZz0YyV4oMFsfcblQFM%3D)\n\n**从“金叶子”到强链条，襄阳茶产业拔节生长**\n\n此次活动的成功举办，对襄阳茶产业高质量发展起到了积极的支撑和推动作用。近年来，襄阳市将茶产业作为推进乡村振兴和农业农村现代化的特色产业来抓，全市茶园面积稳步扩大，茶叶加工能力持续提升，茶产业链条不断延伸。截至目前，襄阳高香茶产业综合产值已突破80亿元，培育省级以上龙头企业18家，茶产品出口40多个国家和地区，带动近50万人增收致富；机械化采摘已覆盖全市80%茶区，建成30多条国内领先的优质茶生产线，茶产业已成为山区群众增收致富的“金叶子”。\n\n保康县作为“襄阳高香茶”核心产区，全县茶园面积达20.1万亩，投产茶园15万亩，综合产值突破20亿元。通过创新应用“1234”绿色防控技术，全县化肥农药使用量减少80%以上；持续引导企业加大宜机化茶园改造和智能化加工装备引进力度，已投建6条现代化碾茶生产线及5000亩碾茶基地，茶园生产机械化、标准化水平不断提高。\n\n![Image 4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F12d004a4567f1e8c66825a75b4204f73~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790900173&x-signature=tBbnmEm7gq5IjJIumPrYUeAnKiU%3D)\n\n本次观摩推广的山地茶园机械化生产及碾茶生产加工技术，有效缓解了山区茶园劳动力短缺、生产成本高的瓶颈，推动夏秋茶原料高效利用，为襄阳市标准化茶园建设提供了有力的技术保障，为全省茶叶产业链高水平建设和茶业强省战略实施贡献了科技力量。","湖北日报 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保康 碾茶 机械化","山地茶园 机械化 碾茶加工","湖北保康碾茶机械化-3427","2026-09-25T00:09:31.863361Z",{"total":87,"page":21,"page_size":87,"items":88},6,[89,176,249,292,354,410],{"id":90,"title":91,"url":92,"summary":93,"summary_zh":94,"content":8,"source_name":95,"source_url":92,"published_at":96,"category":97,"cover_url":8,"hotness":13,"is_selected":14,"score":98,"score_detail":99,"sources":103,"tags":105,"primary_topic":111,"secondary_topics":112,"classification":114,"search_phrases":142,"slug":145,"view_count":146,"doi":147,"paper":148,"created_at":175},3869,"Full-process mechanization of tea production: technological advances and prospects from mechanization-friendly planting to mechanical harvesting","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1963634","To address labor shortages and rising production costs in the tea industry, as well as the limited adaptability of machinery to hilly and mountainous tea plantations, this study systematically screened and synthesized the literature published between 1990 and 2026 following the PRISMA framework, ultimately including 216 studies. The results indicate that tea plantation mechanization is transitioning from stand-alone machinery and manual assistance toward lightweight, precision-based, intelligent, and fully coordinated operations. However, several challenges remain, including inadequate adaptability to complex terrain, insufficient integration of agricultural machinery with agronomic practices, limited reliability and standardization of key components, inadequate accuracy and efficiency in shoot and leaf recognition, localization, and low-damage harvesting, and an insufficient understanding of the relationship between mechanized operations and tea quality. Future research should promote the development of standardized, machinery-compatible tea plantations; develop modular operation platforms, high-mobility chassis, active terrain-following systems, and flexible end effectors; advance the application of multimodal sensing, autonomous navigation, digital twins, and multi-machine coordination; and establish long-term evaluation systems for operational performance and tea quality across regions and seasons. These efforts will help build an integrated, full-process mechanization system that closely coordinates tea plant characteristics, agronomic practices, mechanical equipment, and information-based control, thereby supporting the efficient, high-quality, green, and sustainable development of the tea industry.","为解决茶产业劳动力短缺、生产成本上升，以及机械对丘陵山区茶园适应性不足等问题，本研究遵循PRISMA框架，系统筛选并综合了1990年至2026年间发表的文献，最终纳入216项研究。结果表明，茶园机械化正从单机作业和人工辅助向轻量化、精准化、智能化和全程协同作业方向转型。然而，仍存在若干挑战，包括对复杂地形的适应性不足、农机与农艺融合不够、关键零部件可靠性和标准化程度有限、芽叶识别、定位和低损伤采摘的精度与效率不足，以及对机械化作业与茶叶品质之间关系的认识不充分。未来研究应推动标准化、宜机化茶园建设；开发模块化作业平台、高通过性底盘、主动仿形系统和柔性末端执行器；推进多模态感知、自主导航、数字孪生和多机协同的应用；并建立跨区域、跨季节的作业性能与茶叶品质长期评价体系。这些努力将有助于构建茶树特性、农艺措施、机械装备与信息化控制紧密协调的一体化全程机械化体系，从而支撑茶产业高效、优质、绿色和可持续发展。","Frontiers in Sustainable Food Systems","2026-09-30T00:00:00Z","论文",80,{"impact":17,"substance":100,"depth":17,"authority":19,"freshness":101,"relevant":21,"comment":102},22,8,"基于216篇文献的系统综述，梳理茶园全程机械化技术路径与瓶颈，对丘陵山区智能农机研发有参考价值。",[104],{"name":95,"url":92},[106,107,108,109,110],"智慧农业","农业机器人","智能农机","丘陵山区","茶叶机械化",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[113],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":45,"locked":14,"version":46,"method":47,"evidence":115},{"candidates":116,"agricultural_evidence":52},[117,123,130,137],{"code":39,"score":13,"supported":52,"title":118,"abstract":119,"tags":122},[],[120,59,121],"农机","agricultural machinery",[108],{"code":32,"score":124,"supported":52,"title":125,"abstract":126,"tags":129},9,[],[54,127,128],"茶树","tea plant",[],{"code":131,"score":132,"supported":52,"title":133,"abstract":134,"tags":136},"I1",4,[],[135],"数字孪生",[106],{"code":138,"score":21,"supported":14,"title":139,"abstract":140,"tags":141},"F6",[],[],[107],[143,144],"茶园 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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":258,"substance":17,"depth":259,"authority":51,"freshness":132,"relevant":21,"comment":260},20,16,"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。",[262],{"name":255,"url":252},[106,107,108,109,264],"农业社会化服务",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":268},{"candidates":269,"agricultural_evidence":52},[270,274,278,282],{"code":39,"score":186,"supported":52,"title":271,"abstract":272,"tags":273},[120],[120],[108],{"code":131,"score":132,"supported":52,"title":275,"abstract":276,"tags":277},[],[106],[106],{"code":138,"score":21,"supported":14,"title":279,"abstract":280,"tags":281},[],[],[107],{"code":283,"score":21,"supported":14,"title":284,"abstract":285,"tags":286},"G2",[],[],[264],[288,289],"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",{"id":293,"title":294,"url":295,"summary":296,"summary_zh":297,"content":8,"source_name":298,"source_url":295,"published_at":299,"category":97,"cover_url":8,"hotness":13,"is_selected":14,"score":300,"score_detail":301,"sources":304,"tags":306,"primary_topic":312,"secondary_topics":313,"classification":314,"search_phrases":333,"slug":336,"view_count":167,"doi":337,"paper":338,"created_at":353},5479,"Comparative Scientific Evaluation of Five Coffee Cooperative Organizations in Oromia, Ethiopia: Digital Traceability, Value Conversion, Institutional Dependencies and Five-Year Transformation Strategies","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23504407","Comparative Scientific Evaluation of Five Coffee Cooperative Organizations in Oromia, Ethiopia: Digital Traceability, Value Conversion, Institutional Dependencies and Five-Year Transformation Strategies Authors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa QajelaPublication year: 2026Publication type: Comparative scientific research article \u002F Preprint Description This scientific article presents a comparative evaluation of five coffee cooperative organizations in Oromia, Ethiopia: Chercher Oda Bultum Farmers Cooperative Union, Homa Multipurpose Farmers Cooperative, Kata Muduga Multipurpose Farmers Cooperative Union, Torban Anfillo Multipurpose Farmers Cooperative Union, and Sadetan Chora Farmers Cooperative Union. The research investigates variability in biological production, institutional organization, processing efficiency, digital traceability, product quality, market participation and financial value realization. The study uses institutional questionnaires, cooperative administrative records and previously developed case assessments, supported by recent international, African and Ethiopian scientific literature. Its integrated analytical framework comprises 18 end-to-end value-chain components, nine value-creation and conversion gates, three institutional levels and the eight-stage Big Win methodology. The comparative results demonstrate significant differences in organizational scale, coffee-growing ecology, farmer registration, geospatial mapping, production measurement, processing infrastructure, quality assurance, certification, export-market participation, financial settlement and digital readiness. The findings also identify common weaknesses in upstream traceability, data consistency, coffee-lot genealogy, processing mass balance, producer-level quality differentiation and verifiable links between commercial transactions and farmer payments. The scientific discussion examines how biological productivity, environmental sustainability, quality conservation, processing efficiency, value addition, buyer acceptance, and realized commercial value depend on reliable institutional coordination and information exchange. The analysis draws on recent research concerning digitalization and sustainability (Hidalgo et al., 2023), Ethiopian coffee traceability and buyer trust (Mbakop et al., 2023), digital traceability capabilities (Tadesse et al., 2024), geographical-origin compliance (Urugo et al., 2025), Ethiopian coffee-quality differentiation (Worku, Astatkie, and Boeckx, 2023), and sustainability performance in southwestern Oromia (Botola, Werke, and Birbirsa, 2026). International institutional frameworks from the International Coffee Organization, UNIDO, FAO, GS1, and ISO inform the proposed approaches to value-chain resilience, circular resource management, digital interoperability, and product traceability. The article proposes an integrated Smart Digital Coffee Value Chain architecture linking market intelligence, genetic resources, nursery development, producer and plot identity, extension services, production, harvesting, aggregation, processing, quality assurance, storage, certification, market contracts, buyer acceptance, financial settlement and feedback. A five-year scientific transformation proposal identifies differentiated improvement priorities for each organization, together with harmonized Business Requirements (BR), Functional Requirements (FR), institutional data dependencies, Key Performance Indicators (KPIs), Key Risk Indicators (KRIs) and corrective and preventive actions. The principal scientific contribution is a comparative framework demonstrating how cooperative organizations with different ecological, institutional, and commercial characteristics can implement a common, interoperable digital value-chain system while following locally appropriate transformation pathways. The study contributes to scientific understanding of cooperative value-chain performance, digital agriculture, institutional coordination, biological and economic efficiency, environmental sustainability and commercial value realization. The findings are based principally on documentary and organizational evidence. Reported performance indicators are distinguished from calculated measures and proposed interventions. Differences in reporting periods, measurement units and data completeness limit direct statistical comparability, while the proposed five-year improvements require implementation and independent evaluation. Keywords Smart Digital Coffee Value Chain; Comparative Scientific Evaluation; Oromia; Ethiopia; Coffee Cooperative Unions; Chercher Oda Bultum; Homa Cooperative; Kata Muduga; Torban Anfillo; Sadetan Chora; Digital Traceability; Value Creation; Value Conservation; Value Addition; Biological Efficiency; Economic Efficiency; Institutional Dependency; Big Win Methodology; Sustainable Coffee Production.","埃塞俄比亚奥罗米亚地区五家咖啡合作社组织的比较科学评估：数字可追溯性、价值转化、制度依赖与五年转型战略\n\n作者：Kedir Nefo Biftu、Kebede Hail、Tadila Tadessa Qajela\n\n出版年份：2026年\n\n出版类型：比较科学研究论文\u002F预印本\n\n描述\n\n本科学论文对埃塞俄比亚奥罗米亚地区五家咖啡合作社组织进行了比较评估：Chercher Oda Bultum农民合作社联盟、Homa多用途农民合作社、Kata Muduga多用途农民合作社联盟、Torban Anfillo多用途农民合作社联盟和Sadetan Chora农民合作社联盟。该研究考察了生物生产、制度组织、加工效率、数字可追溯性、产品质量、市场参与和财务价值实现方面的变异性。研究采用机构问卷、合作社行政记录和先前开发的案例评估，并以近期国际、非洲和埃塞俄比亚科学文献为支撑。其综合分析框架由18个端到端价值链组成部分、九个价值创造与转化关口、三个制度层面和八阶段“大赢”方法组成。比较结果揭示了在组织规模、咖啡种植生态、农民登记、地理空间测绘、生产计量、加工基础设施、质量保证、认证、出口市场参与、财务结算和数字准备度方面存在显著差异。研究结果还识别了上游可追溯性、数据一致性、咖啡批次谱系、加工物料平衡、生产者层面质量分级以及商业交易与农民付款之间可验证联系方面的共同弱点。科学讨论审视了生物生产力、环境可持续性、质量保持、加工效率、价值增值、买方接受度和已实现商业价值如何依赖于可靠的制度协调和信息交换。分析借鉴了近期关于数字化与可持续性（Hidalgo等，2023）、埃塞俄比亚咖啡可追溯性与买方信任（Mbakop等，2023）、数字可追溯能力（Tadesse等，2024）、地理原产地合规（Urugo等，2025）、埃塞俄比亚咖啡质量分级（Worku","Zenodo (CERN European Organization for Nuclear Research)","2026-10-20T00:00:00Z",59,{"impact":101,"substance":17,"depth":302,"authority":124,"freshness":124,"relevant":21,"comment":303},15,"该研究以埃塞俄比亚咖啡合作社为对象，提出数字价值链框架，方法有一定新意，但属区域性案例研究，对国内三农信息化仅有间接参考价值。",[305],{"name":298,"url":295},[307,308,309,310,311],"数字农业","价值链","合作社","数字溯源","咖啡产业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":315},{"candidates":316,"agricultural_evidence":52},[317,323,328],{"code":32,"score":302,"supported":52,"title":318,"abstract":320,"tags":322},[319],"coffee",[321,319],"咖啡",[311],{"code":283,"score":132,"supported":52,"title":324,"abstract":325,"tags":327},[],[326],"农民合作社",[309],{"code":131,"score":132,"supported":52,"title":329,"abstract":330,"tags":332},[],[331],"digital agriculture",[307],[334,335],"埃塞俄比亚 咖啡合作社 数字溯源","咖啡产业 数字农业 数字溯源 价值链","埃塞俄比亚咖啡合作社数字溯源-5479","10.5281\u002Fzenodo.23504407",{"doi":337,"openalex_id":339,"authors":340,"venue":298,"cited_by_count":167,"oa_url":295,"card":347,"direction":172,"ingested_from":174},"W7223041235",[341,343,345],{"name":342,"orcid":8},"Kedir Biftu",{"name":344,"orcid":8},"Kebede Hailu",{"name":346,"orcid":8},"Tadila Tadessa Qajela",{"tldr":348,"method":349,"finding":350,"direction":351,"opportunity":352},"比较埃塞俄比亚奥罗米亚五个咖啡合作社的数字化追溯与价值转化差异。","机构问卷、合作社行政记录与案例评估，构建18环节价值链分析框架。","各社在组织规模、数字追溯与支付可验证性差异显著，上游追溯普遍薄弱。","数字乡村与农业信息化","可研究小农户合作社低成本数字追溯与批次谱系方案，打通交易与农户付款的可验证链路。","2026-10-21T23:30:09.167175Z",{"id":355,"title":356,"url":357,"summary":358,"summary_zh":359,"content":8,"source_name":298,"source_url":357,"published_at":299,"category":97,"cover_url":8,"hotness":13,"is_selected":14,"score":360,"score_detail":361,"sources":363,"tags":365,"primary_topic":369,"secondary_topics":370,"classification":371,"search_phrases":393,"slug":396,"view_count":167,"doi":397,"paper":398,"created_at":409},5477,"Smart Digital Coffee Value Chain Transformation: A Scientific Implementation Manual for Kata Muduga Multipurpose Farmers Cooperatives Union, Oromia, Ethiopia Authors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa Qajela","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23488198","Smart Digital Coffee Value Chain Transformation: A Scientific Implementation Manual for Kata Muduga Multipurpose Farmers Cooperatives Union, Oromia, EthiopiaAuthors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa Qajela Publication year: 2026 Publication type: Scientific technical manual and five-year strategic implementation guide DescriptionThis 30-page scientific implementation manual provides a practical, evidence-based framework for transforming the coffee value chain of Kata Muduga Multipurpose Farmers Cooperatives Union in Jimma Zone, Oromia, Ethiopia. The manual translates institutional assessment findings, scientific knowledge, digital-system requirements, and value-chain management principles into operational procedures suitable for cooperative organizations and other agricultural value-chain institutions. The manual draws on the Union's institutional questionnaire completed on 7 October 2026 and relevant scientific publications on international, African, and Ethiopian coffee production, processing, traceability, sustainability, and cooperative development. Its integrated methodological structure consists of 18 end-to-end coffee value-chain components, nine value-creation and conversion points, three institutional levels, and eight stages of the Big Win delivery methodology. The institutional baseline includes 28,164 members, 61,270 hectares of coffee-growing land, 49,287 productive hectares, an annual production of 315,337 quintals, 62 washing and collection facilities, 5,127 GPS-mapped farms, and reported direct-export experience. The manual evaluates these existing institutional capacities and identifies priority gaps in farmer-level digital identification, planting-material genealogy, production information, product traceability, processing utilization, quality testing, environmental compliance, market contracts, payment verification, and coordinated performance management. It establishes differentiated responsibilities for three institutional levels: Core value-chain actors: Farmers, primary cooperatives, cooperative unions, processors, exporters, and buyers responsible for biological production, collection, processing, commercial transactions, and payment. Supporting institutions: Research centers, agricultural extension services, financial institutions, quality laboratories, logistics providers, and digital technology organizations responsible for specialized technical and operational services. Policy and enabling institutions: The Oromia Cooperative Promotion Commission, agricultural and trade bureaus, regulatory organizations, and regional and national governments responsible for governance, standards, policy coordination, and enabling infrastructure. The manual specifies practical Business Requirements (BR), Functional Requirements (FR), data ownership, information exposing and consuming relationships, interoperable digital identification, transaction records, quality assurance, institutional accountability, and measurable performance indicators. Recent international and African experiences are incorporated to identify transferable best practices in cooperative modernization, agricultural digitalization, specialty-coffee differentiation, sustainable production, traceability, and circular value creation. The proposed five-year implementation roadmap applies the Big Win methodology through Direction, Mini-Lab, Open Day, Roadmap, KPI\u002FKRI Development, Implementation, Verification, and Annual Performance Reporting. Implementation priorities include reliable farmer and farm registration, verified production data, digital collection receipts, coffee-lot genealogy, quality-preserving processing, transparent market contracts, buyer acceptance, producer-payment reconciliation, and feedback-driven corrective actions. The principal contribution of this manual is a structured and adaptable implementation model for converting agricultural production potential into traceable products, conserved quality, added commercial value, accepted market transactions, and realized producer benefits. The manual is designed for practical application by farmers, cooperatives, cooperative unions, researchers, government organizations, development partners, technology developers, exporters, and investors in Ethiopia, Africa, and other coffee-producing regions. It serves as an operational companion to the scientific case study and provides guidance for institutional capacity development, digital-system implementation, monitoring, evaluation, and replication of verified best practices. The five-year roadmap and performance targets represent proposed interventions requiring stakeholder approval, practical implementation, and independent validation. KeywordsSmart Digital Coffee Value Chain; Kata Muduga; Scientific Implementation Manual; Coffee Cooperatives; Jimma; Oromia; Ethiopia; Digital Agriculture; Value Creation; Value Conservation; Value Addition; Biological Efficiency; Economic Efficiency; Business Requirements; Functional Requirements; Institutional Dependency; Big Win Methodology; CAPA; Coffee Sustainability.","智能数字咖啡价值链转型：埃塞俄比亚奥罗米亚州Kata Muduga多用途农民合作社联盟科学实施手册\n\n作者：Kedir Nefo Biftu、Kebede Hail 和 Tadila Tadessa Qajela\n出版年份：2026年\n出版类型：科学技术手册与五年战略实施指南\n\n描述\n\n这本30页的科学实施手册为埃塞俄比亚奥罗米亚州吉马地区的Kata Muduga多用途农民合作社联盟的咖啡价值链转型提供了一个实用的、基于证据的框架。该手册将机构评估结果、科学知识、数字系统要求和价值链管理原则转化为适用于合作社组织及其他农业价值链机构的操作程序。该手册依据该联盟于2026年10月7日完成的机构问卷，以及有关国际、非洲和埃塞俄比亚咖啡生产、加工、可追溯性、可持续性和合作社发展的相关科学出版物。其综合方法结构由18个端到端咖啡价值链组成部分、九个价值创造与转化点、三个机构层级以及“大赢”（Big Win）交付方法的八个阶段组成。机构基线包括28，164名成员、61，270公顷咖啡种植土地、49，287公顷生产性土地、年产量315，337公担、62个水洗和收集设施、5，127个经GPS测绘的农场，以及已报告的直接出口经验。该手册评估了这些现有机构能力，并识别出农民层面数字身份识别、种植材料谱系、生产信息、产品可追溯性、加工利用率、质量检测、环境合规、市场合同、付款验证和协调绩效管理等方面的优先差距。该手册为三个机构层级确立了差异化责任：核心价值链参与者：负责生物生产、收集、加工、商业交易和付款的农民、初级合作社、合作社联盟、加工商、出口商和买家。支持性机构：负责专业技术和运营服务的研究中心、农业推广服务机构、金融机构、质量实验室、物流服务提供商和数字技术组织。政策与赋能机构：奥罗",79,{"impact":17,"substance":100,"depth":17,"authority":186,"freshness":124,"relevant":21,"comment":362},"该手册面向埃塞俄比亚咖啡合作社，提供数字化价值链实施框架，数据详实、方法结构清晰，对农业信息化有参考价值，但属区域性案例，影响范围有限。",[364],{"name":298,"url":357},[307,106,366,367,368],"咖啡产业链","农业合作社","产品溯源",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":372},{"candidates":373,"agricultural_evidence":52},[374,378,385,389],{"code":32,"score":19,"supported":52,"title":375,"abstract":376,"tags":377},[319],[321,319],[],{"code":379,"score":87,"supported":52,"title":380,"abstract":381,"tags":384},"G1",[],[382,383],"农业推广","agricultural 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