[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2477":3,"related-2477":60},{"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":22,"tags":24,"primary_topic":29,"secondary_topics":35,"classification":36,"search_phrases":55,"slug":58,"view_count":19,"doi":8,"paper":8,"created_at":59},2477,"上海市农科院园艺所科技人员赴浦东基地开展蔬菜种植技术实地指导(9-8)","https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772","9 月 8 日上海市农科院园艺所科技人员吴雪霞、李晓锋、张爱冬深入浦东亚世园基地、泥城清美基地开展田间实地技术指导。当前正值夏秋蔬菜生产关键期,高温高湿天气易引发蔬菜长势不佳、病虫害多发、产量和品质下降等问题。针对基地种植实际情况,科技人员实地查看茄子、青菜等作物生长态势,细致调研田间种植模式、水肥管理、茬口安排及病虫害防控等现状。在浦东亚世园基地针对耐热青菜新品种选育及配套栽培技术开展实操指导。",null,"尊敬的用户，您好！\n\n网站不支持您所使用的浏览器版本（可能会出现网页变形等问题）。为了更好地展示页面效果，请您使用以下浏览器（点击图标会跳转到相关浏览器的官方网站下载页面）。\n\n*   [![Image 3: 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[经验交流](https:\u002F\u002Fwww.saas.sh.cn\u002Fdjwh\u002Fjyjl \"经验交流\")\n\n    *   ### [文化园地](https:\u002F\u002Fwww.saas.sh.cn\u002Fdjwh\u002Fwhyd \"文化园地\")\n\n*   ### [管理服务](https:\u002F\u002Fwww.saas.sh.cn\u002Fglfw \"管理服务\")\n\n    *   ### [行政后勤](https:\u002F\u002Fwww.saas.sh.cn\u002Fglfw\u002Fxzhq \"行政后勤\")\n\n    *   ### [信息化服务](https:\u002F\u002Fwww.saas.sh.cn\u002Fglfw\u002Fwlfw \"信息化服务\")\n\n_您的位置：_[首页](https:\u002F\u002Fwww.saas.sh.cn\u002F)>[新闻中心](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx \"新闻中心\")>[科技服务](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw \"科技服务\")>详细内容\n\n## 【上海乡村振兴】园艺所科技人员赴浦东基地开展蔬菜种植技术实地指导\n\n来源：设施园艺研究所 作者：张爱冬 发布时间：2026-09-09 10:31:23 浏览次数：101 次【字体：[小](javascript:;)[大](javascript:;)】\n\n2026年9月8日，为加快蔬菜新品种、新技术示范推广落地，破解高温季节蔬菜种植难题，助力蔬菜产业提质增效，园艺所科技人员吴雪霞、李晓锋、张爱冬深入浦东亚世园基地、泥城清美基地开展田间实地技术指导。\n\n当前正值夏秋蔬菜生产关键期，高温、高湿天气易引发蔬菜长势不佳、病虫害多发、产量和品质下降等问题，对蔬菜品种抗性与栽培管理技术提出更高要求。针对基地种植实际情况，园艺所科技人员实地查看茄子、青菜等作物生长态势，细致调研田间种植模式、水肥管理、茬口安排及病虫害防控等现状。在浦东亚世园基地，李晓锋研究员、吴雪霞研究员针对耐热青菜新品种选育及配套栽培技术开展实操指导；在泥城清美基地，吴雪霞研究员重点围绕茄子新品种长季节栽培技术开展专项指导，结合设施种植环境与茄子生长周期特点，详细讲解长季节栽培的品种适配优势、高温逆境防控及病虫害绿色防控等核心技术要点。现场给出针对性解决方案，指导基地工作人员优化栽培方案，规范田间管理流程。\n\n此次实地技术指导，精准贴合基地蔬菜生产实际需求，有效解决了夏秋蔬菜种植的技术痛点，进一步提升了基地蔬菜新品种培育、规范化栽培及科学化管理水平，全力保障本地蔬菜稳产保供，助力现代农业高质量发展与乡村产业振兴。\n\n![Image 9: 14ae215d57ed4916a4552e702b9b6bc7.jpg](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F09\u002F14ae215d57ed4916a4552e702b9b6bc7.jpg)![Image 10: 56a5ffba1eb844eab4c05a6836dca13d.jpg](https:\u002F\u002Fwww.saas.sh.cn\u002Fupload\u002Fmain\u002Fcontentmanage\u002Farticle\u002Fimage\u002F2026\u002F09\u002F09\u002F56a5ffba1eb844eab4c05a6836dca13d.jpg)\n\n### 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微信登录\n\n成功登录后，保持登录状态\n\n[忘记密码？](https:\u002F\u002Fwww.saas.sh.cn\u002FUser\u002Fforgotpassword)\n\n![Image 19](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 15](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 20](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 16](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 21](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 17](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 22](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 18](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 23](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 19](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 24](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 20](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 25](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 21](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 26](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 22](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 27](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 23](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 28](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 24](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 29](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 25](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 30](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 26](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 31](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 27](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证\n\n![Image 32](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)\n\n加载中...\n\n刷新\n\n切换至语音验证码\n\n[Audio 28](https:\u002F\u002Fwww.saas.sh.cn\u002Fxwzx\u002Fkjfw\u002Fcontent_56772)播放语音验证码\n\n刷新\n\n返回文字点选验证","上海市农科院 2026-09-09","2026-09-08T16:00:00Z","报道",10,false,26,{"impact":17,"substance":18,"depth":18,"authority":13,"freshness":19,"relevant":20,"comment":21},6,3,4,1,"正文为浏览器提示等无效内容，仅标题可判断为地方农科院常规实地指导，信息增量与公共价值有限，不建议进入每日精选。",[23],{"name":10,"url":6},[25,26,27,28],"科技服务","农技推广","蔬菜种植","耐热青菜",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables","B",[],{"status":37,"locked":14,"version":38,"method":39,"evidence":40},"classified","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":44},[42,49],{"code":30,"score":43,"supported":44,"title":45,"abstract":46,"tags":48},15,true,[32],[32,47],"茄子",[27],{"code":50,"score":51,"supported":14,"title":52,"abstract":53,"tags":54},"G1",2,[],[],[26,25],[56,57],"农技推广 科技服务 耐热青菜 蔬菜种植","农技推广 科技服务","农技推广科技服务耐热青菜蔬菜种植-2477","2026-09-15T00:04:23.688071Z",{"total":17,"page":20,"page_size":17,"items":61},[62,112,230,279,330,427],{"id":63,"title":64,"url":65,"summary":66,"summary_zh":8,"content":67,"source_name":68,"source_url":8,"published_at":69,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":70,"score_detail":71,"sources":76,"tags":78,"primary_topic":83,"secondary_topics":84,"classification":85,"search_phrases":106,"slug":109,"view_count":110,"doi":8,"paper":8,"created_at":111},5122,"亚夫科技服务项目「优质叶用豌豆新品种及轻简化高效生产技术示范推广」启动会在无锡召开","https:\u002F\u002Fjaas.ac.cn\u002Fxww\u002Fkjfw\u002Fart\u002F2026\u002Fart_e9916478efea4ab6a9a7b3d0f9c8a93e.html","亚夫科技服务项目「优质叶用豌豆新品种及轻简化高效生产技术示范推广」启动会暨无锡市设施蔬菜智慧生产应用场景建设研讨会在江苏省农业科学院无锡分院召开。会议由院亚夫科技服务惠山洛社工作站与无锡市农业技术推广中心联合主办。项目落地惠山区洛社精细蔬菜产业园,引进新品种、集成轻简化栽培技术,推动蔬菜产业升级、带动农户增收。方案联合多家农业科研院所及企业,依托10亩展示验证探索区和40亩智慧生产应用区中智能传感、视频监测、自动控制相关设施,打造可复制、可推广、可盈利的设施叶菜智慧生产样板。","近日，亚夫科技服务项目“优质叶用豌豆新品种及轻简化高效生产技术示范推广”启动会暨无锡市设施蔬菜智慧生产应用场景建设研讨会在无锡分院召开。会议由院亚夫科技服务惠山洛社工作站与无锡市农业技术推广中心联合主办，南京农业大学、农业农村部南京农业机械化研究所相关行业专家及我院成果转化处领导到会指导。无锡农业农村相关部门负责人、农机企业代表及项目团队成员参会，聚力探索洛社设施蔬菜产业提质增效、智慧升级新路径。\n\n项目负责人、无锡分院副院长高兵汇报优质叶用豌豆新品种及轻简化高效生产技术示范推广项目实施方案与前期推进情况。项目落地惠山区洛社精细蔬菜产业园，针对当地叶用豌豆产业短板，引进新品种、集成轻简化栽培技术，推动蔬菜产业升级，带动农户增收。与会专家围绕品种筛选、全程机械化应用、示范推广模式等关键内容开展论证点评，并提出针对性优化建议。\n\n洛社工作站副站长高晓东详细介绍了50亩连栋塑料大棚蔬菜智慧生产应用场景建设方案。方案联合多家农业科研院所及企业，依托10亩展示验证探索区和40亩智慧生产应用区中智能传感、视频监测、自动控制相关设施，开展智能装备研发、品种筛选和生产模式集成，全力打造可复制、可推广、可盈利的设施叶菜智慧生产样板。与会专家与企业代表针对棚体构型优化、物联网信息化管控、农机装备适配、长效运营机制等重点环节深入研讨、建言献策。\n\n院成果处处长顾军作总结讲话。他强调，项目要紧扣产业需求，深化政研、产研协同，加快技术落地；发挥亚夫科技工作站平台优势，做好新品种、新技术示范展示与人才培育；统筹推进品种改良示范与智慧场景建设，打造无锡设施蔬菜智慧农业标杆。\n\n下一步，项目团队将充分吸纳会议意见，完善实施方案，加快叶用豌豆新品种示范推广和智慧蔬菜场景建设，弘扬亚夫精神，打通科技兴农“最后一公里”，以科技赋能蔬菜全产业链升级，助力乡村振兴。\n\n[![Image 1: image001.jpg](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002FSe1b26fed5b5b436d9d11bc9e78f2cecd-800.jpg)](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002Fe1b26fed5b5b436d9d11bc9e78f2cecd.jpg)[](https:\u002F\u002Fjaas.ac.cn\u002Fxww\u002Fkjfw\u002Fart\u002F2026\u002Fart_e9916478efea4ab6a9a7b3d0f9c8a93e.html)\n\n[![Image 2: image003.jpg](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002FS29b4348a79854117bb72b387d7f5199a-800.jpg)](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002F29b4348a79854117bb72b387d7f5199a.jpg)","江苏省农业科学院 2026 年 10 月 15 日","2026-10-15T00:00:00Z",56,{"impact":13,"substance":72,"depth":73,"authority":73,"freshness":74,"relevant":20,"comment":75},14,12,8,"地市级设施蔬菜智慧生产与叶用豌豆新品种示范项目启动，有具体场景方案与多方专家论证，但属区域推广动态，公共影响有限。",[77],{"name":68,"url":65},[79,80,25,81,82],"智慧农业","设施蔬菜","轻简化栽培","叶用豌豆",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":86},{"candidates":87,"agricultural_evidence":44},[88,92,97,101],{"code":30,"score":19,"supported":44,"title":89,"abstract":90,"tags":91},[],[32],[80],{"code":93,"score":18,"supported":44,"title":94,"abstract":95,"tags":96},"B7",[],[80],[],{"code":50,"score":20,"supported":14,"title":98,"abstract":99,"tags":100},[],[],[25],{"code":102,"score":20,"supported":14,"title":103,"abstract":104,"tags":105},"I1",[],[],[79],[107,108],"亚夫科技服务 叶用豌豆 无锡","洛社 设施蔬菜 智慧生产","亚夫科技服务叶用豌豆无锡-5122",0,"2026-10-17T00:13:40.145255Z",{"id":113,"title":114,"url":115,"summary":116,"summary_zh":117,"content":8,"source_name":118,"source_url":115,"published_at":119,"category":120,"cover_url":8,"hotness":13,"is_selected":14,"score":121,"score_detail":122,"sources":128,"tags":130,"primary_topic":134,"secondary_topics":135,"classification":147,"search_phrases":205,"slug":208,"view_count":20,"doi":209,"paper":210,"created_at":229},4038,"Use of artificial intelligence (AI) in vegetable crops: A review","https:\u002F\u002Fdoi.org\u002F10.33545\u002F2664844x.2026.v8.i10a.1995","Artificial Intelligence (AI) is emerging technology in vegetable production, enabling data-driven decision making and precision agriculture practices. AI refers to the intelligence exhibited by machines that can perceive their environment, process large datasets, and make decisions to optimize agricultural productivity. With the integration of technologies such as machine learning, sensors, drones, satellites, Geographic Information Systems (GIS), and Global Positioning Systems (GPS), AI enables efficient monitoring and management of crop production systems In vegetable cultivation, AI technologies assist farmers in several critical operations including soil monitoring, climate assessment, pest and disease diagnosis, irrigation scheduling, and yield prediction. Sensors such as wind vane, cup count anemometer, rain gauge, lux meter, soil moisture sensor, and crop canopy sensors collect real-time environmental and crop data. These data was processed through data loggers and machine learning algorithms to provide accurate recommendations for crop management. Drone-based imaging systems and multispectral cameras further support precision farming by identifying weeds, nutrient deficiencies and disease symptoms at early stages. The use of AI in vegetables also highlights image-based predictive agriculture systems where captured images are processed through stages such as. image cleaning, feature extraction, and model training to detect pests and diseases. Several case studies demonstrate the use of AI in vegetable crops such as tomato, capsicum, and chilli for monitoring canopy growth, irrigation management. Additionally, robotic technologies in harvesting address labor shortages in agriculture. Crop yield prediction of AI in vegetables increases by 40% sensors and algorithms reduces labor cost by 30% moisture sensor increases water use efficiency by 40% spraying done reduces use of pesticide by 60% robotic arms increases harvesting accuracy by 40% artificial neural network data integration saves 25% cost in disease monitoring.","人工智能（AI）正在成为蔬菜生产领域的新兴技术，推动数据驱动决策与精准农业实践。AI是指机器所表现出的智能，能够感知环境、处理大规模数据集并做出决策以优化农业生产力。通过整合机器学习、传感器、无人机、卫星、地理信息系统（GIS）和全球定位系统（GPS）等技术，AI实现了对作物生产系统的高效监测与管理。在蔬菜种植中，AI技术可协助农民完成多项关键作业，包括土壤监测、气候评估、病虫害诊断、灌溉调度和产量预测。风向标、杯式风速计、雨量计、照度计、土壤水分传感器和作物冠层传感器等设备可采集实时的环境与作物数据。这些数据通过数据记录器和机器学习算法进行处理，为作物管理提供精准建议。基于无人机的成像系统与多光谱相机通过早期识别杂草、养分缺乏和病害症状，进一步支持精准农业。AI在蔬菜中的应用还突出了基于图像的预测性农业系统，该系统将采集的图像经过图像清洗、特征提取和模型训练等阶段处理，以检测病虫害。多个案例研究展示了AI在番茄、辣椒和尖椒等蔬菜作物中用于监测冠层生长和灌溉管理的应用。此外，收获机器人技术可缓解农业劳动力短缺问题。AI在蔬菜中的作物产量预测通过传感器和算法提高了40%，劳动力成本降低了30%，土壤水分传感器使水分利用效率提高了40%，喷雾作业使农药使用量减少了60%，机械臂使收获准确率提高了40%，人工神经网络数据集成使病害监测成本节省了25%。","International Journal of Agriculture and Food Science","2026-10-01T00:00:00Z","论文",75,{"impact":123,"substance":124,"depth":125,"authority":73,"freshness":126,"relevant":20,"comment":127},18,20,16,9,"系统综述AI在蔬菜生产中的应用，含产量、成本、水肥药效等量化数据，对智慧农业主题有聚合价值。",[129],{"name":118,"url":115},[79,131,132,133,27],"农业人工智能","病虫害识别","精准农业",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[136,142],{"code":137,"slug":138,"name":139,"path":140,"parent_code":141},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"code":143,"slug":144,"name":145,"path":146,"parent_code":141},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":37,"locked":14,"version":38,"method":39,"evidence":148},{"candidates":149,"agricultural_evidence":44},[150,158,166,173,178,185,192,199],{"code":137,"score":151,"supported":44,"title":152,"abstract":154,"tags":157},19,[153],"artificial intelligence",[155,156,153],"机器学习","machine 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图像识别","AI蔬菜精准农业-4038","10.33545\u002F2664844x.2026.v8.i10a.1995",{"doi":209,"openalex_id":211,"authors":212,"venue":118,"cited_by_count":110,"oa_url":8,"card":221,"direction":227,"ingested_from":228},"W7215128283",[213,215,217,219],{"name":214,"orcid":8},"Hrishikesh Nirmala Balkrishna Thube",{"name":216,"orcid":8},"Dr. SK Kshirsagar",{"name":218,"orcid":8},"MG Agale",{"name":220,"orcid":8},"GS Shinde",{"tldr":222,"method":223,"finding":224,"direction":225,"opportunity":226},"综述人工智能在蔬菜作物生产中的应用，涵盖监测、诊断、灌溉、产量预测与采收机器人。","综述机器学习、传感器、无人机、卫星、GIS\u002FGPS及图像处理在蔬菜生产中的应用案","AI使蔬菜产量预测提高40%、节水40%、减农药60%、采收准确率提高40%。","智慧农业 \u002F 农业物联网","可针对小农户蔬菜场景开发低成本多源数据融合模型，并验证AI长期经济与生态效益。","农业人工智能与决策模型","openalex","2026-10-02T23:30:40.356457Z",{"id":231,"title":232,"url":233,"summary":234,"summary_zh":8,"content":235,"source_name":236,"source_url":8,"published_at":237,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":238,"score_detail":239,"sources":242,"tags":244,"primary_topic":249,"secondary_topics":250,"classification":251,"search_phrases":274,"slug":277,"view_count":18,"doi":8,"paper":8,"created_at":278},2591,"湖北农科院田间赋能促振兴 谷城县凉水井村传真经","https:\u002F\u002Fnews.hubeidaily.net\u002Fpc\u002Fc_5965066.html","9月全国科普月，省科协驻村工作队邀请省农科院专家团队走进谷城县石花镇凉水井村开展果蔬种植技术科普培训与田间指导。省农科院龚林忠、王运强、邓晓辉三位专家分别围绕果树、西甜瓜、蔬菜种植展开培训。","[![Image 6](https:\u002F\u002Fnews.hubeidaily.net\u002Fr\u002Fcms\u002Fwww\u002Fdefault\u002Fimages\u002Flogo.png)](https:\u002F\u002Fnews.hubeidaily.net\u002F 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2026-09","2026-09-13T00:00:00Z",38,{"impact":74,"substance":74,"depth":17,"authority":126,"freshness":240,"relevant":20,"comment":241},7,"省级农科院赴村级开展科普月田间技术指导，属常规科技下乡通稿，信息增量有限，不宜进入每日精选。",[243],{"name":236,"url":233},[245,26,246,247,248],"乡村振兴","院地合作","科技下乡","果蔬种植",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":252},{"candidates":253,"agricultural_evidence":44},[254,259,265,269],{"code":30,"score":17,"supported":44,"title":255,"abstract":256,"tags":258},[],[32,257],"甜瓜",[],{"code":260,"score":18,"supported":44,"title":261,"abstract":262,"tags":264},"B2",[],[263],"果树",[],{"code":50,"score":18,"supported":14,"title":266,"abstract":267,"tags":268},[],[],[26,247,246],{"code":270,"score":20,"supported":14,"title":271,"abstract":272,"tags":273},"G",[],[],[245],[275,276],"乡村振兴 农技推广 果蔬种植 科技下乡","乡村振兴 农技推广","乡村振兴农技推广果蔬种植科技下乡-2591","2026-09-16T00:03:49.094646Z",{"id":280,"title":281,"url":282,"summary":283,"summary_zh":8,"content":284,"source_name":285,"source_url":8,"published_at":286,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":287,"score_detail":288,"sources":290,"tags":292,"primary_topic":297,"secondary_topics":298,"classification":299,"search_phrases":325,"slug":328,"view_count":19,"doi":8,"paper":8,"created_at":329},2095,"河南农科院蔬菜所\"豫园三樱9号\"辣椒新品种现场观摩会在鄢陵举办 商品果率达92%、增产20%","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869","9月7日至8日由河南省农业科学院蔬菜研究所、许昌市农业科学院、河南省华盈种业有限公司联合举办的朝天椒新品种与土壤连作障碍修复现场观摩会在鄢陵县举行。会上展示了由河南农科院蔬菜所选育的\"豫园三樱9号\",经专家现场测产商品果率达92%、增产幅度达20%,在整齐度、抗逆性等方面较主栽品种\"三樱8号\"表现更为稳定。","[](http:\u002F\u002Fwww.sohu.com\u002F)\n\n[新闻](http:\u002F\u002Fnews.sohu.com\u002F)\n\n[体育](http:\u002F\u002Fsports.sohu.com\u002F)\n\n[汽车](http:\u002F\u002Fauto.sohu.com\u002F)\n\n[房产](http:\u002F\u002Fwww.focus.cn\u002F)\n\n[旅游](http:\u002F\u002Ftravel.sohu.com\u002F)\n\n[教育](http:\u002F\u002Flearning.sohu.com\u002F)\n\n[时尚](http:\u002F\u002Ffashion.sohu.com\u002F)\n\n[科技](http:\u002F\u002Fit.sohu.com\u002F)\n\n[财经](http:\u002F\u002Fbusiness.sohu.com\u002F)\n\n[娱乐](http:\u002F\u002Fyule.sohu.com\u002F)\n\n[母婴](http:\u002F\u002Fbaobao.sohu.com\u002F)\n\n[健康](https:\u002F\u002Fhealthnews.sohu.com\u002F)\n\n[历史](http:\u002F\u002Fhistory.sohu.com\u002F)\n\n[军事](http:\u002F\u002Fmil.sohu.com\u002F)\n\n[美食](http:\u002F\u002Fchihe.sohu.com\u002F)\n\n更多\n\n[文化](http:\u002F\u002Fcul.sohu.com\u002F)[星座](http:\u002F\u002Fastro.sohu.com\u002F)[专题](https:\u002F\u002Fwww.sohu.com\u002Fxchannel\u002FTURBd01EQXhPVGt5)[游戏](http:\u002F\u002Fgame.sohu.com\u002F)[搞笑](http:\u002F\u002Ffun.sohu.com\u002F)[动漫](http:\u002F\u002Facg.sohu.com\u002F)[宠物](http:\u002F\u002Fpets.sohu.com\u002F)\n\n[新闻](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[体育](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[汽车](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[房产](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[旅游](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[教育](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[时尚](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[科技](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[财经](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[娱乐](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[母婴](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[健康](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[历史](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[军事](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[美食](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[文化](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[星座](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[专题](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[游戏](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[搞笑](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[动漫](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n[宠物](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1073391459_121375869)\n\n更多\n\n无障碍 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\n\n00:00\u002F00:00\n\n9月8日，河南省朝天椒新品种与土壤连作障碍修复现场观摩会在鄢陵县举行。会上展示了由省农科院蔬菜研究所选育的新品种“豫园三樱9号”。经专家现场测产，该品种商品果率达92%，增产幅度达20%，在整齐度、抗逆性等方面较主栽品种“三樱8号”表现更为稳定。（顶端新闻记者 马涛 宋广军 刘霄）\n\n2026.09.08 16:55\n\n+1\n\n评论\n\n收藏\n\n分享\n\n微信好友\n\n![Image 5: Scan 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河南农业","农技推广河南农业种业振兴辣椒育种-2095","2026-09-11T00:04:20.724728Z",{"id":331,"title":332,"url":333,"summary":334,"summary_zh":335,"content":8,"source_name":336,"source_url":333,"published_at":337,"category":120,"cover_url":8,"hotness":13,"is_selected":14,"score":287,"score_detail":338,"sources":340,"tags":342,"primary_topic":346,"secondary_topics":347,"classification":358,"search_phrases":402,"slug":405,"view_count":51,"doi":406,"paper":407,"created_at":426},1519,"Interdependence of adoption decisions of agroecological vegetable cropping systems among smallholder farmers in eastern Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1899227","Vegetable production plays a vital role in enhancing nutrition and generating income in Kenya, where it is an important component of the agricultural sector. Among the most widely grown vegetables are cruciferous crops, while traditional African vegetables have increasingly gained prominence in recent years. Smallholder farmers account for more than 70% of the country’s total vegetable production. However, they face various complex factors such as extreme climate variability, invertebrate pests, and diseases which reduce productivity, yields and household incomes. They, therefore, often resort to the overuse of synthetic fertilizers and pesticides that could increase their susceptibility to pest resistance, declining soil fertility, and production risks. Agroecological cropping systems have been shown to improve soil fertility, suppress pests, and support sustainable livelihoods in Kenya. Nevertheless, despite their potential benefits, the adoption of agroecological cropping systems remains low. Therefore, this study aims to empirically analyze the factors influencing smallholder farmers’ adoption of selected agroecological vegetable cropping systems in Kenya. This study utilized a multistage sampling approach to gather cross-sectional data from 546 farmers cultivating cruciferous and traditional African vegetables in Kiambu and Murang’a counties. The sample size was determined using the specified sampling methodology. The agroecological vegetable cropping systems examined in this study included mixed cropping, strip cropping, row intercropping, border cropping, and crop rotation. Data was analyzed using a multivariate probit regression model. The findings indicated that adoption decisions were multivariate and interdependent across agroecological cropping systems. Household head gender, plot manager gender, and access to extension services had varying positive and negative impacts on the adoption of agroecological cropping systems. In addition, the occupation of the household head and income from non-vegetable farming activities was positively associated with adoption, while gross income derived from vegetable production was negatively associated with the adoption of some cropping systems. These findings highlight the need to strengthen agricultural extension services, promote gender-responsive farmer training, improve access to market opportunities, and support income diversification initiatives to enhance the adoption of agroecological vegetable cropping systems among smallholder farmers.","蔬菜生产在肯尼亚改善营养和增加收入方面发挥着重要作用，是该国农业部门的重要组成部分。在种植最广泛的蔬菜中，十字花科作物占据重要地位，而传统非洲蔬菜近年来日益受到重视。小农户占该国蔬菜总产量的70%以上。然而，他们面临着极端气候变率、无脊椎动物害虫和病害等各种复杂因素，这些因素降低了生产力、产量和家庭收入。因此，他们往往过度使用合成肥料和农药，这可能增加其对害虫抗药性、土壤肥力下降和生产风险的脆弱性。农业生态种植系统已被证明能够改善土壤肥力、抑制害虫，并支持肯尼亚的可持续生计。然而，尽管具有潜在效益，农业生态种植系统的采用率仍然较低。因此，本研究旨在实证分析影响肯尼亚小农户采用特定农业生态蔬菜种植系统的因素。本研究采用多阶段抽样方法，从基安布郡和穆兰阿郡种植十字花科蔬菜和传统非洲蔬菜的546名农户中收集横截面数据。样本量根据指定的抽样方法确定。本研究考察的农业生态蔬菜种植系统包括混作、条带种植、行间套作、边行种植和轮作。数据采用多元概率比回归模型进行分析。研究结果表明，各农业生态种植系统的采用决策具有多元性和相互依赖性。户主性别、地块管理者性别以及推广服务的获取对农业生态种植系统的采用产生了不同的正向和负向影响。此外，户主的职业和非蔬菜种植活动的收入与采用呈正相关，而蔬菜生产的总收入与某些种植系统的采用呈负相关。这些发现强调了加强农业推广服务、促进性别响应的农户培训、改善市场机会获取以及支持收入多样化举措的必要性，以促进农业生态蔬菜种植系统的采用。","Frontiers in Sustainable Food Systems","2026-09-03T00:00:00Z",{"impact":73,"substance":123,"depth":125,"authority":73,"freshness":51,"relevant":20,"comment":339},"研究东非小农采纳生态农业种植系统的影响因素，数据详实，对农业推广有参考价值，但时效性较低。",[341],{"name":336,"url":333},[343,344,345,27],"非洲","小农户","农业生态",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[348,353],{"code":349,"slug":350,"name":351,"path":352,"parent_code":270},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",{"code":317,"slug":354,"name":355,"path":356,"parent_code":357},"forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping","A",{"status":37,"locked":14,"version":38,"method":39,"evidence":359},{"candidates":360,"agricultural_evidence":44},[361,365,370,377,383,387,392,398],{"code":30,"score":43,"supported":44,"title":362,"abstract":363,"tags":364},[160],[32,160],[27],{"code":349,"score":43,"supported":44,"title":366,"abstract":368,"tags":369},[367],"smallholder",[344,367],[344],{"code":317,"score":126,"supported":44,"title":371,"abstract":372,"tags":376},[],[373,374,375],"轮作","crop rotation","intercropping",[],{"code":50,"score":17,"supported":44,"title":378,"abstract":379,"tags":382},[],[380,381],"农业推广","agricultural extension",[],{"code":186,"score":17,"supported":44,"title":384,"abstract":385,"tags":386},[],[189,190],[],{"code":388,"score":19,"supported":44,"title":389,"abstract":390,"tags":391},"H6",[],[345],[345],{"code":393,"score":18,"supported":44,"title":394,"abstract":395,"tags":397},"F3",[],[396],"肥料",[],{"code":179,"score":18,"supported":44,"title":399,"abstract":400,"tags":401},[],[182],[],[403,404],"农业生态 蔬菜种植 小农户 非洲","农业生态 蔬菜种植","农业生态蔬菜种植小农户非洲-1519","10.3389\u002Ffsufs.2026.1899227",{"doi":406,"openalex_id":408,"authors":409,"venue":336,"cited_by_count":110,"oa_url":333,"card":421,"direction":227,"ingested_from":228},"W7206195758",[410,413,415,417,419],{"name":411,"orcid":412},"Essy C. Kirui","https:\u002F\u002Forcid.org\u002F0000-0002-9413-4557",{"name":414,"orcid":8},"Dickson O. Okello",{"name":416,"orcid":8},"Michael M. Kidoido",{"name":418,"orcid":8},"Daniel M. Mutyambai",{"name":420,"orcid":8},"Komivi S. Akutse",{"tldr":422,"method":423,"finding":424,"direction":227,"opportunity":425},"分析肯尼亚小农采用生态农业蔬菜种植系统的影响因素及其决策的相互依赖性。","多阶段抽样收集546户数据，采用多元概率比回归模型分析。","采用决策具有多元相互依赖性，性别、推广服务、职业和收入来源等影响各异。","可研究如何通过数字化工具优化推广服务，针对不同性别和收入群体定制生态农业技术传播策略。","2026-09-03T23:30:07.781170Z",{"id":428,"title":429,"url":430,"summary":431,"summary_zh":8,"content":432,"source_name":433,"source_url":8,"published_at":434,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":435,"score_detail":436,"sources":438,"tags":440,"primary_topic":443,"secondary_topics":444,"classification":445,"search_phrases":460,"slug":463,"view_count":51,"doi":8,"paper":8,"created_at":464},1477,"江苏农科院徐州所亚夫科技服务团队赴邳州市推广徐蒜 3 号\u002F6 号\u002F8 号：力争示范基地亩增产 10% 以上","https:\u002F\u002Fjaas.ac.cn\u002Fxww\u002Fkjfw\u002Fart\u002F2026\u002Fart_1b9a410ec1f94f418f12d3004b7fd9b5.html","徐州所副所长、国家特色蔬菜产业技术体系岗位专家杨峰研究员结合亚夫项目实施方案，依托碾庄亚夫工作站平台，落地\"科研+基地+农户\"模式，加快徐蒜 3 号、徐蒜 6 号、徐蒜 8 号自主选育新品种示范，明确试验地块、推广规模与配套绿色高效栽培技术，通过集成\"大蒜良种繁育体系的建立与应用\"获奖技术成果，力争核心示范基地实现大蒜亩增产 10% 以上，带动新型农业经营主体、农户应用脱毒良种，破解当地大蒜种性退化、脱毒良种覆盖率低的产业瓶颈。","近日，徐州所亚夫科技服务项目“大蒜脱毒良繁技术集成应用与品种示范推广”团队赴邳州及碾庄亚夫科技服务工作站开展专题技术调研服务，本次活动紧扣项目年度实施任务，深入对接当地大蒜产业技术痛点，推进脱毒种苗繁育、徐蒜系列新品种示范推广等工作落地落实，以科技助力邳州大蒜产业高质量发展。\n\n走进邳州市武原种业科技有限公司，项目团队实地察看邳州市大蒜组培脱毒种苗中心建设进度。该种苗中心是亚夫项目重点技术服务载体，建成后可年产大蒜脱毒组培苗8万株，脱毒良种供应能力覆盖2万余亩，为项目230亩核心示范基地、5000亩辐射推广面积提供种源支撑。目前中心建设接近尾声，仪器设备陆续进场。前期，项目团队已完成对种苗中心2名技术骨干的技术培训，参训人员已完全掌握组培快繁、病毒检测、试管苗驯化移栽等全套技术。专家组实地走访接种室、组培苗培养室等功能区域，听取项目筹备推进情况汇报，针对钢架防虫网棚搭建、网棚土壤改良等脱毒种苗生产关键环节，结合江苏省地方标准《脱毒大蒜蒜种生产技术规程》提出针对性优化方案，找准技术服务切入点，为种苗中心高效运行做好技术储备。\n\n随后，项目团队来到碾庄镇农技中心，对接落实碾庄亚夫工作站运行机制。项目相关专家、工作站站长陆信娟与农技中心负责人围绕项目落地配套保障、工作站日常运维、常态化技术联络机制开展研讨，进一步明晰各方职责分工，完善“亚夫项目专家驻点、基层农技联动、经营主体与农户广泛受益”协同服务模式，保障工作站扎根基层，为项目全周期实施筑牢运行基础。\n\n在碾庄镇政府，项目团队联合邳州市农业农村局、镇政府、武原种业、镇农技人员、大蒜种植大户开展政企研座谈交流。会上，种植大户集中反馈大蒜生产中种源混杂、品种退化、优质脱毒蒜种供给不足等现实难题。徐州所副所长、国家特色蔬菜产业技术体系岗位专家杨峰研究员结合亚夫项目实施方案，对项目后续工作作出统筹部署：依托碾庄亚夫工作站平台，落地“科研+基地+农户”模式，加快徐蒜3号、徐蒜6号、徐蒜8号自主选育新品种示范，明确试验地块、推广规模与配套绿色高效栽培技术，通过集成“大蒜良种繁育体系的建立与应用”获奖技术成果，力争核心示范基地实现大蒜亩增产10%以上，带动新型农业经营主体、农户应用脱毒良种，破解当地大蒜种性退化、脱毒良种覆盖率低的产业瓶颈。\n\n本次调研是亚夫科技服务项目落地碾庄工作站的重要实践。下一步，项目团队将持续践行亚夫精神，依托工作站平台，落实项目既定任务，常态化开展技术培训、驻点指导、现场观摩，培育本土技术人员，带动新型农业经营主体与农户，打通科研成果落地“最后一公里”，为邳州百亿级大蒜产业集群提质增效提供持续科技支撑。\n\n撰稿：陆信娟\n\n审核：杨峰\n\n![Image 1](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F627418629\u002Fpicture\u002F20268\u002F33ba609260a943cd8a1776d07f38aaa7.jpg)\n\n![Image 2](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F627418629\u002Fpicture\u002F20268\u002F592accfb354b40ff993f43e069f5a036.jpg)","江苏省农业科学院·科技服务","2026-08-28T00:00:00Z",65,{"impact":43,"substance":123,"depth":72,"authority":73,"freshness":17,"relevant":20,"comment":437},"省级农科院科技服务团队推广脱毒大蒜良种，目标明确，有具体数据支撑，但影响范围限于地市，时效性一般。",[439],{"name":433,"url":430},[293,441,25,442],"成果转化","大蒜",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":14,"version":38,"method":39,"evidence":446},{"candidates":447,"agricultural_evidence":44},[448,452,456],{"code":30,"score":18,"supported":44,"title":449,"abstract":450,"tags":451},[],[32],[],{"code":50,"score":51,"supported":14,"title":453,"abstract":454,"tags":455},[],[],[441,25],{"code":307,"score":20,"supported":14,"title":457,"abstract":458,"tags":459},[],[],[293],[461,462],"成果转化 种业振兴 科技服务 大蒜","成果转化 种业振兴","成果转化种业振兴科技服务大蒜-1477","2026-09-03T00:06:42.290586Z"]