[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3095":3,"related-3095":36},{"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,"search_phrases":30,"slug":33,"view_count":34,"doi":8,"paper":8,"created_at":35},3095,"从这扇窗,看见中国农业的底气——中国农业科学院第八届农科开放日观察","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260922\u002F20260922_1\u002Fnmrb_20260922_13411_1_2102145214697279506.html","9-22 农民日报头版刊登对中国农业科学院第八届农科开放日的整版观察。9-19 启幕的开放日汇聚作物科学研究所、南京农业机械化研究所、植物保护研究所、蜜蜂研究所等所级展位：作物所野生稻\u002F地方杂粮种子标本扫码可查每份种质来历；南京农机化所多足转运机器人面向丘陵山地作业、可横移\u002F原地转向、4 条仿生机械腿遇障碍物灵活抬落、稳定背负 100 公斤农资与果品破解山区果品\"种得出、运不下\"难题；植保所无人机模拟操作台前排起小长队，让孩子们上手操控摇杆体验飞防作业；蜜蜂所无刺蜂\u002F熊蜂差异化授粉技术破解人工授粉费时费力、果品品质不稳难题。",null,"农民日报","2026-09-22T00:00:00Z","报道",10,false,80,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":12,"relevant":20,"comment":21},22,18,16,14,1,"全国性农科开放日观察，涵盖种质资源、丘陵山地农机、飞防与授粉技术，信息增量与时效性俱佳，值得进入每日精选。",[23],{"name":9,"url":6},[25,26,27,28,29],"智慧农业","农业机器人","种质资源","蜜蜂授粉","植保无人机",[31,32],"中国农科院 农科开放日","南京农机化所 多足转运机器人","中国农科院农科开放日-3095",0,"2026-09-22T00:05:33.364777Z",{"total":37,"page":20,"page_size":37,"items":38},6,[39,63,87,126,146,184],{"id":40,"title":41,"url":42,"summary":43,"summary_zh":8,"content":44,"source_name":45,"source_url":8,"published_at":46,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":47,"score_detail":48,"sources":52,"tags":54,"search_phrases":58,"slug":61,"view_count":34,"doi":8,"paper":8,"created_at":62},2991,"天府国际种业展亮相成都邛崃 四川省农科院\"中秀1号\"烫火锅白菜与春花枇杷、红花椒采摘机器人集中发布","https:\u002F\u002Fm.chinanews.com\u002Fwap\u002Fdetail\u002Fchs\u002Fzw\u002F10699637.shtml","2026天府国际种业展暨第六届\"藏粮于技\"院士专家大讲堂9-19在成都邛崃天府现代种业园启幕，四川省农业科学院、中国农业科学院都市农业研究所、四川农业大学等集中发布一批育种、装备及园艺种业创新成果。\"中秀1号\"烫火锅专用白菜品种、春天开花的枇杷栽培品种、精准柔性采摘的红花椒采摘机器人亮相。\"十四五\"期间该院系统收集保存果树种质3211份、蔬菜及食用菌种质3089份、花卉种质4000余份，果树、蔬菜、花卉累计选育审认定新品种超60个，园艺类新品种累计推广面积超120万亩，配套栽培技术推广超2000万亩。","中新网成都9月19日电(陈选斌)烫火锅专用白菜品种“中秀1号”、春天开花的枇杷栽培品种、精准柔性采摘的红花椒采摘机器人……19日，2026年天府国际种业展暨第六届“藏粮于技”院士专家大讲堂在成都邛崃天府现代种业园启幕，四川省农业科学院、中国农业科学院都市农业研究所、四川农业大学等科研单位集中发布一批育种、装备及园艺种业创新成果。\n\n![Image 1](http:\u002F\u002Fi2.chinanews.com.cn\u002Fsimg\u002Fypt\u002F2026\u002F260919\u002Fa2fabb28-c378-48be-833b-d84f15f9de09_zsite.jpg)\n\n图为大会现场发布多项农业科技成果。陈选斌 摄\n\n本次园艺种业创新成果来源于四川省农业科学院园艺研究所、食用菌研究所、水稻高粱研究所。据介绍，“十四五”期间该院系统收集保存果树种质3211份、蔬菜及食用菌种质3089份、花卉种质4000余份；建成全国资源种类最丰富的蜡梅资源圃，在柑橘演化机理研究上取得重大理论突破。一大批适配市场消费需求的新品种完成审定登记，果树、蔬菜、花卉累计选育审认定新品种超60个，“川羊肚菌6号”“川芥1号”入选国家育种联合攻关代表性成果，“西蜀蜜桃3号”“红冠3号辣椒”等多个品种成为省级农业主导品种。除“春花枇杷”外，还培育出烧烤专用茄子、无苦味黄瓜等特色品类，“十四五”期间园艺类新品种累计推广面积超120万亩，配套栽培技术推广超2000万亩，带动产业提质增效。\n\n“好品种如何走出实验室，走向市场”成为本次大会热议核心命题。中国蔬菜协会副会长徐振兴表示，当前部分科研育成品种试种完成后，存在推广“最后一公里”推进困难的现象，研发和市场需求存在错位。公用转化平台建设不足、配套机制尚不完善、知识产权保护仍需持续推进，都在一定程度上制约良种落地应用。他认为，育种不能只从实验室出发设计品种，应当由产业、企业提出实际需求，交由科研人员攻关解决，在保障稳产保供的前提下，提升农产品品质效益，带动农民增收。\n\n四川省农业科学院党委书记刘永红表示，将创新科企协作机制，改变以往品种选育完成、通过审定之后企业才开展技术转让的模式，推动种业企业从育种材料阶段就参与研发。\n\n围绕川种振兴，四川省农业科学院明确四项重点工作安排：发挥智库作用，研判种业热点难点，系统谋划川种科技创新布局；持续开展生物育种攻关，兼顾突破性主粮品种与契合民众美好生活需求的特色品种；构建包含智能化制种、区域适配模式在内的配套技术体系，实现优势品种、优势区域、优势技术三优集成；深化科技创新和产业创新深度融合，加快川种产业发展。\n\n据了解，四川是四大育制种省份之一，主要农作物良种覆盖率稳定在95%以上。本次集中展示的种质资源、新品种、新技术成果，将进一步夯实川种创新根基，助力新时代更高水平“天府粮仓”建设。(完)","中国新闻网","2026-09-19T00:00:00Z",81,{"impact":16,"substance":49,"depth":18,"authority":50,"freshness":12,"relevant":20,"comment":51},20,13,"省级种业盛会集中发布新品种与采摘机器人，并触及良种推广“最后一公里”议题，信息增量与行业参考价值较高。",[53],{"name":45,"url":42},[26,55,27,56,57],"种业振兴","川种振兴","园艺种业",[59,60],"四川省农科院 中秀1号 白菜","红花椒采摘机器人 邛崃","四川省农科院中秀1号白菜-2991","2026-09-20T00:03:03.611618Z",{"id":64,"title":65,"url":66,"summary":67,"summary_zh":8,"content":68,"source_name":69,"source_url":8,"published_at":46,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":70,"score_detail":71,"sources":76,"tags":78,"search_phrases":82,"slug":85,"view_count":34,"doi":8,"paper":8,"created_at":86},2975,"新华社：智能农机打开中国田野新可能——吉林玉米地触摸屏收割机与激光除草机器人","http:\u002F\u002Fwww.chinanews.net\u002Fnews\u002F279316918\u002Fsmart-gears-open-new-possibilities-in-china-fields","新华社9-19报道吉林松源玉米收获机电子控制系统让驾驶员通过单一屏幕管理收获全过程，本土企业年销量已超2000台。第四代激光除草机器人在公主岭试验田作业，由长春理工大学联合产业伙伴研发，作物识别率超99.5%、每小时可清除5-10万株杂草，2026年底预计进入量产。\"十四五\"期间中国农作物耕种收综合机械化率达76.7%、农业无人机超30万架。","[![Image 1: China News](https:\u002F\u002Fassets.kreatio.net\u002Fnn_logos\u002Fchina-news.png)](http:\u002F\u002Fwww.chinanews.net\u002F)\n\n[![Image 2](https:\u002F\u002Fassets.kreatio.net\u002Fnn_logos\u002Fchina-news.png)](http:\u002F\u002Fwww.chinanews.net\u002F)\n\n*  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rss](https:\u002F\u002Fassets.kreatio.net\u002Fweb\u002Fnewsnet\u002Fimages\u002Frss_feed.jpg)](https:\u002F\u002Ffeeds.chinanews.net\u002Frss\u002F9366300fc9319e9b)\n*   [![Image 6: twitter](https:\u002F\u002Fassets.kreatio.net\u002Fweb\u002Fnewsnet\u002Fimages\u002Ftwitter.jpg)](https:\u002F\u002Ftwitter.com\u002FChinaNewsNet)\n\nSun, 20 Sept 2026\n\n#### [_«_ Back to Home](http:\u002F\u002Fwww.chinanews.net\u002F)\n\n![Image 7: Smart gears open new possibilities in China's fields](https:\u002F\u002Fchitra-api.kreatio.com\u002Fapi\u002Fv1\u002Fwps\u002Fdb2bc74\u002Faa68d274-a88a-4a03-a6dd-1bf1a811f75a\u002F0\u002FXxjwshE000026-20260919-CBMFN0A001-1156x770.jpg)\n\n## [Smart gears open new possibilities in China's fields](http:\u002F\u002Fwww.chinanews.net\u002Fnews\u002F279316918\u002Fsmart-gears-open-new-possibilities-in-china-fields#)\n\nXinhua   \n19 Sep 2026, 14:15 GMT+\n\nCHANGCHUN, Sept. 19 (Xinhua) -- As cornfields in northeast China's Jilin Province turn golden for the autumn harvest, bringing in the crop now requires just a few taps on a touchscreen.\n\nInside a corn harvester at Mushen Agricultural Machinery Co., Ltd. in Songyuan, a major corn-producing area, an electronic control system allows the operator to manage every stage of harvesting through a single screen.\n\n\"Ten years ago, we could sell only a few hundred machines a year. Now, our annual sales have reached more than 2,000 at their peak,\" said Wang Xincheng, general manager of the company.\n\nOver the past decade, the share of domestically produced components used in the company's harvesters has risen by about 15 percentage points to 95 percent, while advances in core components and electronic controls have helped narrow the technological gap with comparable foreign products, Wang said.\n\nSome 200 kilometers away in Gongzhuling, another machine is tackling a different field task -- without the use of chemical herbicides.\n\nAt a test field in Changchun's National Agricultural High-Tech Industry Demonstration Zone, a silver-gray, fully electric self-propelled robot glides between rows of corn. An onboard camera scans the field, an AI system distinguishes weeds from crops, and millimeter-level laser beams remove weeds without touching the corn plants.\n\nDeveloped by Changchun University of Science and Technology and its industry partners, the fourth-generation robot has a crop recognition rate of more than 99.5 percent. In field trials, it could remove 50,000 to 100,000 weeds in an hour.\n\nBy using lasers instead of herbicides, the machine provides a solution to reduce chemical usage and helps protect the fertile black soil of northeast China.\n\n\"We designed the robot around the needs of Chinese farming,\" said Wang Xiantao, a member of the research team. \"Each laser-weeding unit works like a building block, allowing the machine to be adapted for various farming scenarios.\"\n\nHe said the robot is expected to enter mass production by the end of 2026.\n\nThe changes seen in Jilin are also unfolding elsewhere in China. From touchscreen harvesters to laser-weeding robots, machines are taking on more farm work and performing it with greater precision.\n\nDuring the 14th Five-Year Plan period (2021-2025), China's comprehensive mechanization rate for crop plowing, sowing and harvesting reached 76.7 percent, with major grain crops basically achieving full-process mechanization, according to the Ministry of Agriculture and Rural Affairs.\n\nMeanwhile, more than 300,000 agricultural drones are now in use nationwide, the largest number in the world.\n\nChina's 15th Five-Year Plan (2026-2030) calls for high-quality development of agricultural machinery and closer integration of farmland, crop varieties, machinery and farming practices. A specific national plan for crop farming development released recently also calls for the development and application of high-end intelligent machinery for large-scale farmland and lighter, more efficient equipment for hilly and mountainous areas.\n\n\"Rapid advances in information technology and AI are becoming deeply integrated with agricultural production,\" said Xia Xianfei, a researcher with the Nanjing Institute of Agricultural Mechanization under the Ministry of Agriculture and Rural Affairs. Smart equipment such as drones and agricultural robots can take over labor-intensive and repetitive tasks while improving farming efficiency, Xia added.\n\nIn Jilin, where the comprehensive mechanization rate for the plowing, sowing and harvesting of major crops has reached 95 percent, research institutes, universities and manufacturers are being brought together to develop smarter agricultural equipment.\n\nIn Henan, another major corn-producing province, BeiDou navigation, 5G communications, new energy technologies and autonomous driving are being integrated into farm machinery to refine the precision and automation of field operations.\n\nIn Xinjiang, research projects launched this year are targeting unmanned cotton-field operations, intelligent sowing, precise control of water, fertilizer and pesticides, and improvements to domestically produced cotton pickers.\n\nChinese-made agricultural machinery is also reaching overseas markets.\n\nChinese cotton pickers are gaining ground in Central Asia, with manufacturers adapting their machines to local planting patterns and harvesting conditions.\n\nThe Xinjiang branch of China Railway Construction Heavy Industry Co., Ltd. delivered a new batch of cotton pickers to Central Asia in July. Orders from the region account for more than 70 percent of its production capacity this year, according to the company.\n\nFeng Guang, vice president of Xinjiang Boshiran Intelligent Agricultural Machinery Co., Ltd., said Chinese high-end cotton pickers can match leading international products in harvesting efficiency while costing about half as much as comparable European and U.S. machines.\n\nWhat is happening in Jilin, Henan, Xinjiang and many other areas reflects a broad shift in how farming is done -- toward greater precision, automation and intelligence.\n\n### [Share article:](http:\u002F\u002Fwww.chinanews.net\u002Fnews\u002F279316918\u002Fsmart-gears-open-new-possibilities-in-china-fields#)\n\n Shares \n\n![Image 8: facebook sharing button](https:\u002F\u002Fplatform-cdn.sharethis.com\u002Fimg\u002Ffacebook.svg)Share\n\n![Image 9: twitter sharing button](https:\u002F\u002Fplatform-cdn.sharethis.com\u002Fimg\u002Ftwitter.svg)Post\n\n![Image 10: reddit sharing button](https:\u002F\u002Fplatform-cdn.sharethis.com\u002Fimg\u002Freddit.svg)Share\n\n![Image 11: flipboard sharing button](https:\u002F\u002Fplatform-cdn.sharethis.com\u002Fimg\u002Fflipboard.svg)Flip\n\n![Image 12: email sharing button](https:\u002F\u002Fplatform-cdn.sharethis.com\u002Fimg\u002Femail.svg)Email\n\n[](https:\u002F\u002Fwww.chinanews.net\u002Fnews\u002F279016473\u002Fwhy-becoming-chinese-trend-is-filling-shopping-carts-worldwide)[Why BEIJING, April 28 (Xinhua) -- I'm gonna let you in on a little secret, OK? Tomorrow you are turning Chinese. That's how Sherry Zhu, a Chinese American creator...chinanews](https:\u002F\u002Fwww.chinanews.net\u002Fnews\u002F279016473\u002Fwhy-becoming-chinese-trend-is-filling-shopping-carts-worldwide \"Why\")\n\nUndo\n\n[](https:\u002F\u002Fwww.blinkist.com\u002Fmagazine\u002Fposts\u002Fi-asked-chatgpt-what-separates-the-rich-from-everyone-else-tts-chatgpt)[I Asked AI What Rich People Do Differently. The Answer Was One Word.Not stocks. Not crypto. Not connections. The AI kept circling back to something far more ordinary — and far more powerful.Blinkist Magazine | [Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01:Below%20Article%20Thumbnails%20|%20Card%202:)[Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01:Below%20Article%20Thumbnails%20|%20Card%202:)](https:\u002F\u002Fwww.blinkist.com\u002Fmagazine\u002Fposts\u002Fi-asked-chatgpt-what-separates-the-rich-from-everyone-else-tts-chatgpt \"I Asked AI What Rich People Do Differently. The Answer Was One Word.\")\n\nUndo\n\n[](https:\u002F\u002Fwww.blinkist.com\u002Fmagazine\u002Fposts\u002Fthe-5-hour-rule-the-quiet-habit-that-shaped-a-trillionaires-mind)[The Richest Person Alive Spends Five Hours a Week on Something Most People Quit in School It is not networking. It is not investing. It is the one habit that quietly separates the curious from everyone else.Blinkist Magazine | [Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01:Below%20Article%20Thumbnails%20|%20Card%203:)[Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01:Below%20Article%20Thumbnails%20|%20Card%203:)](https:\u002F\u002Fwww.blinkist.com\u002Fmagazine\u002Fposts\u002Fthe-5-hour-rule-the-quiet-habit-that-shaped-a-trillionaires-mind \"The Richest Person Alive Spends Five Hours a Week on Something Most People Quit in School\")\n\nUndo\n\n[](https:\u002F\u002Fmozarreraptions.com\u002F31b1f99e-bb12-4021-b4a6-40f82d1cbb8f)[Wrinkles? Most People Use Lotions. Koreans Do This Instead The Skincare Magazine | [Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01-a:Below%20Article%20Thumbnails%20|%20Card%204:)[Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01-a:Below%20Article%20Thumbnails%20|%20Card%204:) Read Now](https:\u002F\u002Fmozarreraptions.com\u002F31b1f99e-bb12-4021-b4a6-40f82d1cbb8f \"Wrinkles? Most People Use Lotions. Koreans Do This Instead\")\n\nUndo\n\n[](https:\u002F\u002Fmozarreraptions.com\u002F1150568c-fdba-4b7e-bdca-d481ac558d31)[South Carolina: 52-Year-Old Replaced $21,500 Treatment With This $38 Item\"It Tightens Wrinkles In No Time!\"Anti-Aging | [Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01-a:Below%20Article%20Thumbnails%20|%20Card%204:)[Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01-a:Below%20Article%20Thumbnails%20|%20Card%204:) Read Now](https:\u002F\u002Fmozarreraptions.com\u002F1150568c-fdba-4b7e-bdca-d481ac558d31 \"South Carolina: 52-Year-Old Replaced $21,500 Treatment With This $38 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[Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01:Below%20Article%20Thumbnails%20|%20Card%2010:)[Sponsored](http:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=newsnet-chinanews&utm_medium=referral&utm_content=thumbs-feed-01:Below%20Article%20Thumbnails%20|%20Card%2010:) Read Now](https:\u002F\u002Fmozarreraptions.com\u002F30fccaf0-45cd-42af-bfc5-0cfd59078ce3 \"52-Year-Old Replaced $21,500 Treatment With This $38 Item\")\n\nUndo\n\n### More China News\n\n[Access More](http:\u002F\u002Fwww.chinanews.net\u002Fcategory\u002Fchina-news)\n\n[![Image 13: EU targets addictive online features for children under 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21](https:\u002F\u002Fchitra-api.kreatio.com\u002Fapi\u002Fv1\u002Fwps\u002F5668807\u002Fce3c81b7-8b66-4dcf-b97f-db40e13252a1\u002F0\u002FXxjidwE000010-20260919-CBMFN0A001-200x200.jpg)](http:\u002F\u002Fwww.chinanews.net\u002Fnews\u002F279316676\u002Faustrian-parliament-speaker-calls-for-mutual-learning-fair-cooperation-between-europe-china)\n\n##### [Austrian parliament speaker calls for mutual learning, fair cooperation between Europe, China](http:\u002F\u002Fwww.chinanews.net\u002Fnews\u002F279316676\u002Faustrian-parliament-speaker-calls-for-mutual-learning-fair-cooperation-between","新华社·中国新闻网",84,{"impact":72,"substance":49,"depth":18,"authority":73,"freshness":74,"relevant":20,"comment":75},24,15,9,"央媒报道国产智能农机与激光除草机器人突破，含国产化率、识别率等硬数据，产业示范价值突出，值得入选每日精选。",[77],{"name":69,"url":66},[25,26,79,80,81],"智能农机","激光除草","玉米收获",[83,84],"吉林 玉米 智能收割机","长春理工大学 激光除草机器人","吉林玉米智能收割机-2975","2026-09-20T00:03:00.504266Z",{"id":88,"title":89,"url":90,"summary":91,"summary_zh":92,"content":8,"source_name":93,"source_url":90,"published_at":94,"category":95,"cover_url":8,"hotness":12,"is_selected":13,"score":96,"score_detail":97,"sources":102,"tags":104,"search_phrases":108,"slug":111,"view_count":34,"doi":112,"paper":113,"created_at":125},2929,"A REAL-TİME AI-DRİVEN AGRİCULTURAL ROVER INTEGRATİNG PLANT DİSEASE DETECTİON AND GEO-REFERENCED SOİL MOİSTURE ANALYSİS","https:\u002F\u002Fdoi.org\u002F10.30546\u002Femnaa.2026.02.28.123","This paper presents an autonomous agricultural ground robot for real-time monitoring of plant health and soil moisture in large-scale crop fields.The proposed system integrates a deep learning-based perception subsystem with autonomous navigation and a custom ground control station (GCS) to enable continuous and geo-referenced field analysis.Visual data are acquired using an onboard camera and processed in real time on a Raspberry Pi using an object detection model (ODM) to identify disease-related visual symptoms such as discoloration, deformation and leaf degradation.Each detected instance is associated with a confidence score and accurately geo-tagged using GPS data.In parallel, a contact-based soil moisture sensor performs localized measurements at fixed spatial intervals along a grid-based coverage trajectory.All perception outputs are synchronized with navigation data and transmitted via a telemetry link to the GCS where live video with detection overlays, rover trajectory, mission status and sensor telemetry are visualized and logged for postmission analysis.Field experiments conducted under real operating conditions demonstrate stable autonomous operation and achieve an overall plant disease detection accuracy of 85-90%, confirming the effectiveness of the proposed system for precision agriculture applications.","本文提出了一种用于大规模农田植物健康和土壤湿度实时监测的自主农业地面机器人。该系统将基于深度学习的感知子系统与自主导航及自定义地面控制站（GCS）相结合，实现连续且带地理参考的田间分析。视觉数据通过机载相机采集，并利用目标检测模型（ODM）在树莓派上实时处理，以识别与病害相关的视觉症状，如变色、变形和叶片退化。每个检测到的实例均关联置信度分数，并通过GPS数据精确标注地理位置。与此同时，基于接触式的土壤湿度传感器沿网格化覆盖轨迹以固定空间间隔进行局部测量。所有感知输出与导航数据同步，并通过遥测链路传输至地面控制站，在此可视化并记录带有检测叠加层的实时视频、漫游车轨迹、任务状态和传感器遥测数据，以供任务后分析。在实际运行条件下进行的田间实验证明了稳定的自主运行能力，并实现了85-90%的植物病害整体检测准确率，验证了所提系统在精准农业应用中的有效性。","Scientific Journal","2026-09-18T00:00:00Z","论文",77,{"impact":17,"substance":98,"depth":99,"authority":50,"freshness":100,"relevant":20,"comment":101},21,17,8,"集成深度学习病害识别与地理参考土壤墒情监测的自主农业机器人论文，田间实测准确率85-90%，方法新颖且数据可靠，对精准农业有参考价值。",[103],{"name":93,"url":90},[25,105,26,106,107],"农业人工智能","植物病害检测","土壤墒情监测",[109,110],"农业机器人 病害检测 土壤墒情","Raspberry Pi 植物病害识别","农业机器人病害检测土壤墒情-2929","10.30546\u002Femnaa.2026.02.28.123",{"doi":112,"openalex_id":114,"authors":115,"venue":93,"cited_by_count":34,"oa_url":90,"card":118,"direction":122,"ingested_from":124},"W7213559917",[116],{"name":117,"orcid":8},"Gasimov V.A., Dadashov F.H., Hasanov H.B., Huseynov N.E",{"tldr":119,"method":120,"finding":121,"direction":122,"opportunity":123},"开发实时AI农业机器人，集成植物病害检测与地理参考土壤湿度分析。","Raspberry Pi上部署目标检测模型，结合GPS和接触式土壤湿度传感器。","田间试验实现85-90%的植物病害检测准确率，并稳定自主运行。","智慧农业 \u002F 农业物联网","可探索多模态传感器融合与边缘计算优化，提升复杂田间环境下的实时检测鲁棒性。","openalex","2026-09-19T23:30:11.232025Z",{"id":127,"title":128,"url":129,"summary":130,"summary_zh":8,"content":131,"source_name":132,"source_url":8,"published_at":94,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":133,"score_detail":134,"sources":136,"tags":138,"search_phrases":141,"slug":144,"view_count":34,"doi":8,"paper":8,"created_at":145},2885,"江苏省农科院召开2026年第一批中央预算内投资计划工作部署会:6方面要求强调科研在前面向AI与数据融合","https:\u002F\u002Fjaas.ac.cn\u002Fxww\u002Fnkyw\u002Fart\u002F2026\u002Fart_55cfb9e6aeac433b88a7c3bfed48ae97.html","9月17日,江苏农科院召开农业专项2026年第一批中央预算内投资计划工作部署会,党委委员、副院长孙洪武主持。涉及种质资源保护利用、生物安全评价、绿色防控和中试转化。要求科研在前、设施在后;全院统筹、开放共享;建管并重、运维同步;依法合规、廉洁贯穿;科研满意、智能融合;职责清晰、分工协作,推动人工智能、大数据等新技术与科研设施融合。","9月17日，我院召开农业专项2026年第一批中央预算内投资计划工作部署会。党委委员、副院长孙洪武主持会议并传达院长朱艳工作要求，党委委员、副院长王冉、李爱宏出席会议。院项目建设单位负责人、项目负责人、相关职能部门负责人和管理人员，以及项目相关人员参加会议。\n\n会议指出，2026年第一批项目涉及种质资源保护利用、生物安全评价、绿色防控和中试转化，是我院支撑科技创新、服务国家粮食安全和农业科技自立自强的重要载体，必须统一思想、提高站位，作为重要政治任务和发展任务抓紧抓实。会议提出六个方面要求：一是科研在前、设施在后，方向不能倒置，科研设施必须围绕科研方向、重大任务和创新团队建设，不能建成形象工程；二是全院统筹、开放共享，资源不能分割，能共用的不重复建，大型仪器设备纳入院共享平台，种质资源、表型、监测、评价等数据互联互通；三是建管并重、运维同步，眼光不能短视，提前落实运维经费、组建运维团队、预留升级空间，把实验室安全、生物安全、数据安全、消防安全和施工安全贯穿始终；四是依法合规、廉洁贯穿，红线不能触碰，严格招标采购、资金管理、工程变更和廉洁自律，资金专款专用，审计提前介入，纪检监察加强监督；五是科研满意、智能融合，标准不能降低，把科研人员满不满意、好不好用、愿不愿意共享作为检验标准，推动人工智能、大数据等新技术与科研设施融合，注重绩效产出；六是职责清晰、分工协作，责任不能悬空，领导专班统筹抓总，管理专班具体协调，职能部门各负其责、主动服务，项目单位负责人和项目负责人履行第一责任人责任，实行月调度、季通报、年考核，对工作不力的严肃追责问责。\n\n会上，科研处解读了中央预算内投资项目工作实施方案，基建处、基地处、后勤保卫处、财务处分别作工作提示，各项目单位负责人作表态发言，各项目负责人分别介绍了项目情况，围绕设施用地、场地改造、温室网室建设、仪器设备采购、配套资金安排、旧房改造等提出需要协调解决的问题。\n\n[![Image 1: image001.jpg](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002FSdb97cd401da4494ea44a620c412add6f-800.jpg)](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002Fdb97cd401da4494ea44a620c412add6f.jpg)\n\n[![Image 2: image003.jpg](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002FS8727f3e8b0d1429baab1bac1d53e5b22-800.jpg)](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002F8727f3e8b0d1429baab1bac1d53e5b22.jpg)","江苏省农业科学院",71,{"impact":18,"substance":17,"depth":73,"authority":50,"freshness":74,"relevant":20,"comment":135},"省级农科院投资部署会，六方面要求明确科研优先与AI数据融合导向，对农业科研设施建设有参考价值。",[137],{"name":132,"url":129},[25,105,27,139,140],"中央预算内投资","科研设施共享",[142,143],"江苏省农科院 中央预算内投资","农业科研设施 智能融合","江苏省农科院中央预算内投资-2885","2026-09-19T00:06:06.278959Z",{"id":147,"title":148,"url":149,"summary":150,"summary_zh":8,"content":8,"source_name":151,"source_url":149,"published_at":94,"category":95,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":152,"sources":154,"tags":156,"search_phrases":160,"slug":163,"view_count":34,"doi":164,"paper":165,"created_at":183},2862,"A closed-loop spatial–temporal–path–execution coordination framework for dual-arm tomato harvesting in constrained shared workspaces","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biosystemseng.2026.104590","A closed-loop spatial–temporal–path–execution coordination framework for dual-arm tomato harvesting in constrained shared workspaces。Biosystems Engineering","Biosystems Engineering",{"impact":17,"substance":49,"depth":17,"authority":19,"freshness":12,"relevant":20,"comment":153},"核心期刊发表的农业机器人双臂协同采摘新框架，方法新颖、时效性强，对智慧农业装备研发有参考价值。",[155],{"name":151,"url":149},[25,26,157,158,159],"路径规划","双臂采摘","番茄收获",[161,162],"双臂番茄采摘 机器人","Biosystems Engineering 双臂采摘","双臂番茄采摘机器人-2862","10.1016\u002Fj.biosystemseng.2026.104590",{"doi":164,"openalex_id":166,"authors":167,"venue":151,"cited_by_count":34,"oa_url":8,"card":8,"direction":8,"ingested_from":124},"W7213493097",[168,170,172,175,178,180],{"name":169,"orcid":8},"Xingyu Lu",{"name":171,"orcid":8},"Yongnian Zhang",{"name":173,"orcid":174},"Jieyu Xian","https:\u002F\u002Forcid.org\u002F0000-0002-2526-6644",{"name":176,"orcid":177},"Qingyu Wang","https:\u002F\u002Forcid.org\u002F0000-0002-5293-2024",{"name":179,"orcid":8},"Xingsheng Wang",{"name":181,"orcid":182},"Xiaochan Wang","https:\u002F\u002Forcid.org\u002F0000-0003-0461-8417","2026-09-18T23:30:05.475729Z",{"id":185,"title":186,"url":187,"summary":188,"summary_zh":189,"content":8,"source_name":190,"source_url":187,"published_at":191,"category":95,"cover_url":8,"hotness":12,"is_selected":13,"score":192,"score_detail":193,"sources":195,"tags":197,"search_phrases":200,"slug":203,"view_count":34,"doi":204,"paper":205,"created_at":227},2808,"Design and performance evaluation of a solar powered remote controlled robot for precision seed planting","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-68946-0","Abstract The increasing demand for sustainable agricultural mechanization has accelerated the development of precision and energy-efficient planting systems. This study presents the design, optimization, and performance evaluation of a solar-powered remotely controlled robot for precision seed planting. The robotic platform integrates a photovoltaic energy system, an electric seed-metering mechanism, and an electronically controlled seed-depth adjustment unit to achieve accurate seed placement while minimizing energy consumption. The system was experimentally evaluated at four robot forward speeds (0.42–1.60 km h −1 ) and four target seed spacings (10–25 cm). Results showed high seed placement accuracy ranging from 98.08% to 98.80%, while the miss and multiple indices remained below 2% and 2.5%, respectively. Optimal metering performance was obtained at robot speeds of 0.82–1.20 km h −1 . The seed-depth adjustment mechanism exhibited a strong linear relationship between motor rotations and penetration depth (R 2 = 0.9996), ensuring precise depth control. Energy analysis indicated low power consumption (0.048–0.084 kWh) and a solar power supply ratio (95–167%). These findings demonstrate that integrating solar energy with wirelessly controlled agricultural robotics can improve planting precision while enhancing energy efficiency and environmental sustainability in precision farming systems.","摘要 可持续农业机械化需求的不断增长，加速了精准与节能播种系统的发展。本研究介绍了一种用于精准播种的太阳能遥控机器人的设计、优化与性能评估。该机器人平台集成了光伏能源系统、电动排种机构以及电控播深调节单元，在实现精准投种的同时最大限度降低能耗。系统在四种机器人前进速度（0.42–1.60 km h⁻¹）和四种目标粒距（10–25 cm）条件下进行了试验评估。结果表明，播种位置精度较高，为98.08%–98.80%，漏播指数和重播指数分别低于2%和2.5%。在机器人速度为0.82–1.20 km h⁻¹时获得最佳排种性能。播深调节机构在电机转数与入土深度之间表现出较强的线性关系（R² = 0.9996），确保了播深精准控制。能耗分析表明，功耗较低（0.048–0.084 kWh），太阳能供电比例为95%–167%。这些结果表明，将太阳能与无线控制农业机器人相结合，可在提高播种精度的同时提升精准农业系统的能源效率和环境可持续性。","Scientific Reports","2026-09-15T00:00:00Z",79,{"impact":18,"substance":16,"depth":17,"authority":19,"freshness":74,"relevant":20,"comment":194},"核心期刊论文，太阳能遥控精准播种机器人实测精度与能耗数据扎实，方法新颖、结论可靠，对智慧农业装备研发有参考价值，值得进入每日精选。",[196],{"name":190,"url":187},[25,26,79,198,199],"光伏农业","精准播种",[201,202],"农业机器人 光伏农业 智慧农业 智能农机","农业机器人 光伏农业","农业机器人光伏农业智慧农业智能农机-2808","10.1038\u002Fs41598-026-68946-0",{"doi":204,"openalex_id":206,"authors":207,"venue":190,"cited_by_count":34,"oa_url":220,"card":221,"direction":226,"ingested_from":124},"W7213362777",[208,210,212,214,216,218],{"name":209,"orcid":8},"Shimaa Aboharg",{"name":211,"orcid":8},"El-Keway Abdelfattah",{"name":213,"orcid":8},"Ismail Abdelmotaleb",{"name":215,"orcid":8},"Ayman Eldesoukey",{"name":217,"orcid":8},"Z. M. Omara",{"name":219,"orcid":8},"Noureldin Sharaby","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-68946-0.pdf",{"tldr":222,"method":223,"finding":224,"direction":122,"opportunity":225},"设计并评估了一台太阳能遥控精量播种机器人，实现高精度播种与低能耗。","集成光伏系统、电控排种与播深调节，测试4种速度与4种间距。","播种精度达98%以上，漏播重播率低，太阳能供电比达95–167%。","可探索多机协同与自适应速度控制，以提升复杂田间条件下的播种效率与续航。","农业绿色发展与碳","2026-09-17T23:31:16.617073Z"]