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At the mechanical level, redundant degrees of freedom are eliminated through topological analysis of mechanism freedom, a 'short-chain direct-drive' transmission scheme is introduced to reduce mechanical losses, and finite element topology optimization is combined to achieve lightweight design of key components. At the control level, artificial intelligence is introduced to establish a perception system based on convolutional neural networks (CNN) and multi-source information fusion, enabling accurate recognition and prediction of complex terrain. A Back Propagation (BP) neural network Proportion Integration Differentiation (PID) control strategy based on the Dung beetle Optimization (DBO)algorithm is proposed, which effectively addresses the shortcomings of traditional algorithms, such as slow convergence and large overshoot. Meanwhile, model predictive control and an improved soft actor-critic reinforcement learning algorithm are integrated to achieve online adaptive regulation of drive parameters and global optimal control to a considerable extent. The optimized drive system effectively improves the working performance and environmental adaptability of agricultural robots in complex terrain and provides new theoretical and technical ideas for the development of intelligent agricultural machinery.","本研究以农业机器人驱动系统为研究对象，从机械结构与智能控制两个维度开展优化研究。在机械层面，通过机构自由度拓扑分析去除冗余自由度，引入“短链直驱”传动方案以降低机械损耗，并结合有限元拓扑优化实现关键零部件的轻量化设计。在控制层面，引入人工智能，建立基于卷积神经网络（CNN）与多源信息融合的感知系统，实现对复杂地形的准确识别与预测；提出基于蜣螂优化（DBO）算法的BP神经网络PID控制策略，有效改善传统算法收敛慢、超调大等不足；同时融合模型预测控制与改进的柔性演员-评论家强化学习算法，实现驱动参数的在线自适应调节及较大程度上的全局最优控制。优化后的驱动系统有效提升了农业机器人在复杂地形下的作业性能与环境适应性，为智能农业机械的发展提供了新的理论与技术思路。","Theoretical and Natural 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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","报道",81,{"impact":321,"substance":508,"depth":654,"authority":655,"freshness":385,"relevant":455,"comment":656},16,13,"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。",[658],{"name":649,"url":646},[590,660,661,662,663],"种业振兴","种质资源","川种振兴","园艺种业",{"code":80,"slug":81,"name":82,"path":83,"parent_code":72},[666],{"code":120,"slug":121,"name":122,"path":123,"parent_code":72},{"status":596,"locked":581,"version":4,"method":597,"evidence":668},{"candidates":669,"agricultural_evidence":602},[670,675,680,684,688,693],{"code":80,"score":655,"supported":602,"title":671,"abstract":673,"tags":674},[672],"种业",[672],[660,661],{"code":120,"score":416,"supported":602,"title":676,"abstract":678,"tags":679},[677],"采摘机器人",[677],[590],{"code":279,"score":627,"supported":602,"title":681,"abstract":682,"tags":683},[],[281],[],{"code":286,"score":627,"supported":602,"title":685,"abstract":686,"tags":687},[],[288],[],{"code":302,"score":627,"supported":602,"title":689,"abstract":690,"tags":692},[],[691],"花卉",[],{"code":309,"score":627,"supported":602,"title":694,"abstract":695,"tags":696},[],[311],[],[698,699],"四川省农科院 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农提〔202 6〕90 号\n\n民建 省委会：\n\n贵委 提出的 关于 推进农业机器人应用 助力我省智慧农业提质增效的建议提案 收悉，现答复如下：\n\n农业机器人是农机装备的高级形态,传统农机把农民从“体力劳动者”变为“机器操作手”,农业机器人将把农民升级为“机器人管理者”“数据决策师”，农业机器人在缓解劳动力短缺、提升生产效率、降低生产成本以及推进农业绿色转型将在未来发挥的重要作用。\n\n我省机器人产业基础较好，产品布局合理，创新能力突出。目前，已形成以沈阳为主、大连、锦州、沈抚示范区等共同发展的产业格局。沈阳市机器人及智能制造产业集群是我国机器人领域唯一的国家级 先进制造集群。我省的农业机器人主要在大田智能农机、设施农业（种植业、水产及畜牧业）及海洋渔业等农业生产方面，省内重点企业有 中科院 沈阳自动化研究所、新松机器人、无距科技、空天科工、日佳电子、陆吾科技、沐森农业等。为加快农业机器人推进应用，省农业农村厅印发了《辽宁省“人工智能+农业”三年行动方案（2025-2027 年）》，全力推进我省智慧农业加速发展。\n\n一、推进智慧农业基础设施建设 夯实农业机器人应用基础\n\n推进农业机器人应用快联畅通的高速网络是前提和基础。省通信管理局持续实施“双千兆”网络基础设施建设，全面加快推进 5G、千兆光网等新型信息基础设施应用，为农业机器人提供持续稳定的信息网络。为尽快让广大农户认识、接受农业机器人，省农业农村厅将辅助驾驶系统、植保无人驾驶航空器、激光平地仪等智慧农机具纳入我省补贴机具种类范围，并按照规定给予提高补贴额支持。辽宁金融监管局将鼓励金融机构加大金融产品和服务创新力度，通过贷款利率优惠和利息补贴重点满足现代设施农业基础设施建设、固定资产设备投资等资金需求。指导银行开发“农机贷”“阳光惠农贷”“农业科技与装备贷”等专属信贷产品，为购买农机的农户、农民专业合作社等农业经营主体提供金融支持。省财政厅会同 国家税务总局辽宁省税务局 按照规定落实研发费用税前加计扣除、设备更新和留抵退税以及促进集成电路产业和软件产业高质量发展的企业所得税政策。省农业农村厅结合农机装备补短板行动，构建“科研院所+农机企业+合作社（科技示范户）”三位一体的产学研用合力创新机制，全力推进农业机器人在全省范围内的规模化应用。\n\n二、持续完善政策支持体制机制 扩大农业机器人应用场景\n\n高标准农田是推广应用农业机器人的重要载体和应用场景。省农业农村厅将立足本职，通过分期分批对已建成的集中连片的高标准农田进行数字化、系统化、智能化改造，分阶段推进农业机器人、智能监测、智慧农业管理等系统功能，逐步推进适应用农业机器人作业环境。布设农业物联网传感网络，对土壤、空气、湿度、温度、病虫害等实时监控，保证农业机器人在标准工作环境内开展农业生产各项工作。高标准农田建设工作同步规划、同步建设、同步投产。农业用户根据生产需求进行的充电桩报装，可从既有配电网就近接入，电网侧能够满足用电需求。\n\n三、建立多渠道人才培育体系 提高农业机器人使用水平\n\n专业性人才是推进农业机器人应用的关键。省教育厅面对当前智慧农业与农业机器人应用需求，重点做好三方面工作。一是推进新农科建设。加强智慧农业、农业智能装备工程、农业物联网、农机自动化、大数据与人工智能等专业建设，推动现代信息技术与农业技术深度融合，将农业机器人操作、智能农机运维、精准作业等内容融入人才培养方案。二是深化产教融合协同育人。深化 校校、校所、校地、校企合作，积极推动建设智慧农业实践教学基地、农业机器人实训中心，加快构建多类型农业智能化人才培养体系；深入推进高校科技开放创新，支持高校与农业科技园区、农业机器人企业、合作社组建研究院、联合研发中心等平台，聚焦农业机器人研发、场景适配、运维服务等关键环节开展协同攻关，加快构建信息化人才培养体系与技术交流合作平台。三是加强技能培训与技术服务。依托涉农院校与实训基地资源，面向基层农技人员、种植大户开展农业机器人操作、智能农机维护、数字农田管理等专题培训，普及智慧农业技术应用知识，缩小“数字鸿沟”。支持高校专家、专业教师加入农业技术推广服务队伍，深入田间地头提供现场指导、运维支持与技术咨询，保障农业机器人落地见效。\n\n联系人：马伟\n\n联系电话：18640435661\n\n辽宁省农业农村厅\n\n2026 年 5 月 2 6 日","辽宁省农业农村厅 2026-09-03","2026-09-03T00:00:00Z","政策",75,{"impact":321,"substance":508,"depth":654,"authority":416,"freshness":408,"relevant":455,"comment":762},"省级政策答复，系统阐述农业机器人应用的支持措施与未来规划，信息量大，对智慧农业领域有参考价值。",[764],{"name":757,"url":754},[588,590,766,767,768],"人才培养","辽宁","政策支持",{"code":120,"slug":121,"name":122,"path":123,"parent_code":72},[],{"status":596,"locked":581,"version":4,"method":597,"evidence":772},{"candidates":773,"agricultural_evidence":602},[774,778,782,786],{"code":120,"score":729,"supported":602,"title":775,"abstract":776,"tags":777},[590],[],[590],{"code":16,"score":729,"supported":602,"title":779,"abstract":780,"tags":781},[588],[],[588],{"code":519,"score":455,"supported":581,"title":783,"abstract":784,"tags":785},[],[],[766],{"code":542,"score":455,"supported":581,"title":787,"abstract":788,"tags":789},[],[],[768],[791,792],"农业机器人 人才培养 政策支持 智慧农业","农业机器人 人才培养","农业机器人人才培养政策支持智慧农业-1848","2026-09-08T00:07:11.656967Z",{"id":796,"title":797,"url":798,"summary":799,"summary_zh":11,"content":800,"source_name":801,"source_url":11,"published_at":758,"category":651,"cover_url":11,"hotness":385,"is_selected":581,"score":652,"score_detail":802,"sources":804,"tags":806,"primary_topic":809,"secondary_topics":810,"classification":811,"search_phrases":846,"slug":849,"view_count":400,"doi":11,"paper":11,"created_at":850},1706,"AI, Drones, Robots Reshape Farming in Heilongjiang, China's Grain Heartland（CGTN 9-3 报道）","https:\u002F\u002Fnews.cgtn.com\u002Fnews\u002F2026-09-03\u002FAI-drones-robots-reshape-farming-in-China-s-grain-heartland-1Q8bEeCDD7a\u002Fp.html","CGTN 报道黑龙江农业数字化转型。在北大荒信息公司，一面墙大小的数字地图追踪约 320 万公顷农田的状况。土壤条件、作物生长和拖拉机运动数据在屏幕上更新。黑龙江省耕种收综合机械化率达 99.28%，已连续 16 年粮食总产量位居全国第一。激光除草机器人在田间作业可清除 95% 以上的杂草，作物损伤低于 0.1%；电动驱动精量播种机比传统机械式播种机减少种子损伤、作业速度快约 50%。\"十五五\"期间黑龙江将发展农业机器人和智能农业装备产业。","Inside Beidahuang Information Company in Harbin, capital of northeast China's Heilongjiang Province, a wall-sized digital map tracks conditions across some 3.2 million hectares of farmland.\n\nData on soil conditions, crop growth and tractor movements update across the screen, while satellite remote sensing, the Internet of Things and AI are being integrated into different stages of farming.\n\nIt is one example of how agriculture is changing in Heilongjiang, China's top grain-producing province.\n\nHeilongjiang has ranked first in the country in total grain output for 16 consecutive years. The comprehensive mechanization rate for plowing, sowing and harvesting has reached 99.28%.\n\nNow, AI, drones, remote sensing and smarter machinery are pushing that highly mechanized system into a more digital phase.\n\n![Image 1: A worker assembles agricultural machinery at Heilongjiang Dewo Technology Development Co., Ltd. in Harbin, Heilongjiang Province, China, September 1, 2026. \u002FVCG](https:\u002F\u002Fnews.cgtn.com\u002Fnews\u002F2026-09-03\u002FAI-drones-robots-reshape-farming-in-China-s-grain-heartland-1Q8bEeCDD7a\u002Fimg\u002F42432a4bc73b42df9e400419652e7664\u002F42432a4bc73b42df9e400419652e7664.jpeg)\n\nA worker assembles agricultural machinery at Heilongjiang Dewo Technology Development Co., Ltd. in Harbin, Heilongjiang Province, China, September 1, 2026. \u002FVCG\n\nA worker assembles agricultural machinery at Heilongjiang Dewo Technology Development Co., Ltd. in Harbin, Heilongjiang Province, China, September 1, 2026. \u002FVCG\n\nFarming by data\n\nWang Hao, deputy general manager of Beidahuang Information Company's market operation center, said a farmer inspecting crops on foot could previously cover only about 200 mu, or roughly 13 hectares, a day.\n\nDrones and remote sensing can now monitor much larger areas and allow crop data across the monitored farmland to be updated every five days, he said.\n\nThe company's AI model for cold-region crops analyzes soil, weather and crop-growth data to generate planting plans and recommendations for variable-rate fertilization, which allows fertilizer use to be adjusted according to conditions in different parts of a field.\n\nBut scaling up agricultural AI remains challenging.\n\nWang said AI models require large amounts of local data and repeated testing because soil, weather and other environmental conditions can vary significantly from place to place.\n\nDigital technology is also being used farther along the production chain.\n\nIn Wuchang, a major rice-producing area in Harbin, robots at Qiaofu Dayuan Agricultural Co., Ltd. stack packaged rice for shipment. QR codes on the products provide information including where the rice was produced and its nutritional content.\n\nSmarter machines\n\nOther technologies are changing the machinery working directly on farmland.\n\nAt a planting base in Heilongjiang, a four-wheel laser-weeding robot moves between crop rows. Multispectral cameras and sensors scan the ground, while algorithms distinguish crops from weeds and direct laser beams at the unwanted plants.\n\nThe system offers a chemical-free alternative to herbicides while reducing reliance on manual weeding.\n\nLi Yongwei, deputy general manager of Harbin Huagong Zhiyun Technology Co., Ltd., said the technology can remove more than 95% of weeds while keeping crop damage below 0.1%. He said it can also cut weeding costs by up to 70% compared with manual labor.\n\nSeeders are becoming more intelligent as well.\n\nElectric-drive precision seeders produced by Heilongjiang Dewo Technology Development Co., Ltd. allow operators to monitor and adjust air pressure and seed spacing in real time through smart terminals.\n\nDu Mujun, the company's chief engineer, said the system can reduce seed damage and operate about 50% faster than conventional mechanical seeders.\n\n![Image 2: The 25th Heilongjiang Agricultural Machinery Exhibition opens in Harbin, Heilongjiang Province, China, March 14, 2026. \u002FVCG](https:\u002F\u002Fnews.cgtn.com\u002Fnews\u002F2026-09-03\u002FAI-drones-robots-reshape-farming-in-China-s-grain-heartland-1Q8bEeCDD7a\u002Fimg\u002F87095d0d3fda456b868a8a85cb0c2682\u002F87095d0d3fda456b868a8a85cb0c2682.jpeg)\n\nThe 25th Heilongjiang Agricultural Machinery Exhibition opens in Harbin, Heilongjiang Province, China, March 14, 2026. \u002FVCG\n\nThe 25th Heilongjiang Agricultural Machinery Exhibition opens in Harbin, Heilongjiang Province, China, March 14, 2026. \u002FVCG\n\nBeyond mechanization\n\nHeilongjiang produced a record 82 million tonnes of grain in 2025, marking its 22nd consecutive bumper harvest. The province also had 676,000 intelligent agricultural machines that year, ranking first nationwide.\n\nDuring the 15th Five-Year Plan period from 2026 to 2030, Heilongjiang plans to develop industries including agricultural robots and intelligent farming equipment.\n\nConstruction began in August on a national pilot base for AI applications in crop planting, aimed at tackling common technical bottlenecks and developing technologies that can be deployed on a larger scale.\n\nThe shift is part of China's broader push for agricultural modernization. National plans call for wider use of technologies including drones, the Internet of Things and robots in agriculture and rural areas.\n\nFor Heilongjiang, where mechanization of plowing, sowing and harvesting is already above 99%, the focus is increasingly shifting from simply mechanizing farm work to making equipment and agricultural decisions more intelligent.\n\nHu Jinyou, a professor at China Agricultural University, said smart agriculture is still being refined, but deeper integration between AI and agriculture is an \"irreversible trend.\"\n\nAs a new generation of better-educated farmers enters the sector, digital management is likely to become increasingly common, he added.\n\n(With input from Xinhua)","CGTN",{"impact":447,"substance":508,"depth":654,"authority":655,"freshness":608,"relevant":455,"comment":803},"报道黑龙江智慧农业综合进展，含AI、激光除草等具体案例，具产业参考价值。",[805],{"name":801,"url":798},[588,589,590,807,808],"黑龙江","精准农业",{"code":120,"slug":121,"name":122,"path":123,"parent_code":72},[],{"status":596,"locked":581,"version":4,"method":597,"evidence":812},{"candidates":813,"agricultural_evidence":602},[814,818,823,828,833,838,842],{"code":120,"score":400,"supported":602,"title":815,"abstract":816,"tags":817},[],[590],[590],{"code":256,"score":627,"supported":602,"title":819,"abstract":820,"tags":822},[],[821],"间作",[],{"code":104,"score":627,"supported":602,"title":824,"abstract":825,"tags":827},[],[826],"除草",[],{"code":112,"score":627,"supported":602,"title":829,"abstract":830,"tags":832},[],[831],"机械化",[],{"code":144,"score":627,"supported":602,"title":834,"abstract":835,"tags":837},[],[836],"土壤",[],{"code":16,"score":69,"supported":581,"title":839,"abstract":840,"tags":841},[],[],[588,808],{"code":24,"score":455,"supported":581,"title":843,"abstract":844,"tags":845},[],[],[589],[847,848],"农业人工智能 农业机器人 智慧农业 精准农业","农业人工智能 农业机器人","农业人工智能农业机器人智慧农业精准农业-1706","2026-09-05T00:04:40.911477Z",{"id":852,"title":853,"url":854,"summary":855,"summary_zh":856,"content":11,"source_name":857,"source_url":854,"published_at":858,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":859,"score_detail":860,"sources":862,"tags":864,"primary_topic":866,"secondary_topics":867,"classification":868,"search_phrases":883,"slug":886,"view_count":400,"doi":887,"paper":888,"created_at":907},1279,"Scene-graph-grounded vision–language reasoning to action for autonomous multipurpose agricultural robots","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112347","Scene-graph-grounded vision–language reasoning to action for autonomous multipurpose agricultural robots。Computers and Electronics in Agriculture","面向自主多用途农业机器人的场景图接地视觉-语言推理到行动。计算机与电子在农业中的应用","Computers and Electronics in Agriculture","2026-08-31T00:00:00Z",76,{"impact":508,"substance":321,"depth":361,"authority":345,"freshness":69,"relevant":455,"comment":861},"论文提出基于场景图的视觉-语言推理方法，提升农业机器人自主作业能力，方法新颖，数据详实，但发表于2026年8月，时效性较低。",[863],{"name":857,"url":854},[588,589,590,865],"视觉语言模型",{"code":120,"slug":121,"name":122,"path":123,"parent_code":72},[],{"status":596,"locked":581,"version":4,"method":597,"evidence":869},{"candidates":870,"agricultural_evidence":602},[871,875,879],{"code":120,"score":400,"supported":602,"title":872,"abstract":873,"tags":874},[],[590],[590],{"code":24,"score":69,"supported":581,"title":876,"abstract":877,"tags":878},[],[],[589,865],{"code":16,"score":455,"supported":581,"title":880,"abstract":881,"tags":882},[],[],[588],[884,885],"农业人工智能 视觉语言模型 农业机器人 智慧农业","农业人工智能 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www.frontiersin.org.\n\nVisit our homepage to browse the full site.\n\n[](https:\u002F\u002Fwww.frontiersin.org\u002F)\n\nURL : \u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1925615\u002Fabstract\n\nStatus code : 404\n\nMessage : article-01-init.global: Article DOI 10.3389\u002Ffsufs.2026.1925615 not found","Frontiers in Sustainable Food Systems 2026-08-11","2026-08-10T16:00:00Z",{"impact":424,"substance":424,"depth":424,"authority":424,"freshness":424,"relevant":455,"comment":967},"页面404，内容不可用，无法评估",[969],{"name":964,"url":961},[590,971,972,973],"路径规划","丘陵果园","Frontiers 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提供验证场景与定制解决方案","https:\u002F\u002Fso.html5.qq.com\u002Fpage\u002Freal\u002Fsearch_news?docid=70000021_7206a7cfd0082252","江苏无锡高新区城郊新建4座农业大棚,落地全国首家农业机器人4S店。门店由长三角国家技术创新中心智慧农业机器人研究所运营,集成轨道式智能巡检机器人、智能采摘机器人、智能物流机器人,可在番茄等作物上完成巡检、采收、运输全流程,构建可验证、可定制的农业机器人解决方案平台,助力\"十五五\"规划提出的健全公益性、经营性相结合的农业科技推广体系。","吴昊解释，门店的“4S”指的是展示体验、销售交付、技术服务和定制解决方案。门店不仅是产品展示和体验中心，也是检验“靠机器人种地能不能赚钱”的试验场——只有这套模式能够创造收益、实现可持续运营，才能形成示范效应，进一步开拓市场。“预计到2028年实现盈利。”吴昊对此很有信心。\n\n前不久，南京金色庄园农产品有限公司在参观考察后，看中了一款紫外光物理植保机器人。“我们种植草莓，希望用先进农机帮助节本增效、提升品质。”企业技术总监李德富说，更吸引人的，是4S店提供的一整套解决方案——技术人员前期可以驻点企业，帮助搭建网络、匹配算法和日常管护，还手把手培训企业员工使用产品。\n\n研发销售相结合的运营模式，让4S店的农业机器人能满足更多客户需求。无锡的安利(中国)植物研发中心种植了杭白菊，种植区行间距较窄、田垄较宽，且需要用有机方式防治病虫害。中心研发人员姜楠钧介绍，不到两个月，4S店便为杭白菊种植定制了一款跨垄式紫外光植保机器人，跨度更大，底盘高度也可以根据田间情况灵活调节。\n\n这家农业机器人4S店已服务近10家客户，还有10余家客户在洽谈中。秦齐坦言，目前客户主要集中在江苏省内及周边地区。对于东北、西南等农业产区的潜在客户来说，想要实地体验，距离仍是障碍。门店计划通过视频直播等方式，让更多种植企业和农户了解机器人怎么干活、实际效果如何；长远看，计划以自营、加盟相结合的模式，将分店逐步布局到更多农业产区，提供有针对性的产品和服务。","人民日报 2026-08-13 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智慧农业","农业机器人智慧农业十五五长三角-474","2026-08-13T23:53:43.897861Z",{"id":1038,"title":1039,"url":1040,"summary":1041,"summary_zh":11,"content":1042,"source_name":1043,"source_url":11,"published_at":1044,"category":651,"cover_url":11,"hotness":385,"is_selected":581,"score":1045,"score_detail":1046,"sources":1048,"tags":1050,"primary_topic":1052,"secondary_topics":1053,"classification":1054,"search_phrases":1061,"slug":1064,"view_count":408,"doi":11,"paper":11,"created_at":1065},458,"山西大同黄花菜智能采摘机器人首款田间实操——单次采摘过程不到5秒钟,实现采收'无机可用'到'真机下地'","https:\u002F\u002Fwww.cnr.cn\u002Fsx\u002Frwft\u002F20260810\u002Ft20260810_527756118.shtml","央广网大同8月10日消息:近日,山西大同云州区坨坊村黄花种植基地内,首款黄花菜智能采摘机器人接到种植户下达的采摘指令后,专用手爪精准采收黄花并收纳至储料筐,单次采摘过程不到5秒钟。受作业精度限制,机器人采用分区采收模式,单次定点采摘面积为4平方米。'黄花菜智能采摘机器人关键技术研究及应用示范'项目于2023年获批为山西省重点研发计划项目,由太原科技大学牵头,联合山西农谷现代农业装备科技有限公司、山西农业大学等单位协同攻关。机器人搭载2套并联机构机械臂,工控机通过算法为双臂分配采摘任务,基于四维定位信息进行路径规划与姿态解算,实现双臂协同高效作业,目前采摘速度约5秒\u002F朵,未来将不高于2秒\u002F朵。","ݽܣӵά׼Ӿλ·ʶܣ5Gֲֻͨʵʱ˽״̬򷢲ժָͬʱû˴2ײΪժеۣ˫ЭͬҵЧʡרצģ˹ɷʽȷժ̫ԭƼѧеѧԺ߽ʱʾάӾ˫ЭͬרצûڰС׼ҵ\n\n⣬ûܹ˫Эͬҵ2ײеۣػͨ㷨Ϊ˫۷ժ񣬻άλϢ·滮̬㣬ʵ˫ЭͬЧҵĿǰժٶԼ5\u002F䣬δ2\u002F䡣ڶ棬˲Ĵʽżܵ綯̣ƻ˲˵ͨ󡣳װ̫ܰ壬첻ժʱΪ﮵س磬ʡȥֻڡ䱸LEDƴΪҹҵṩ\n\nϴͳ˹ժԣժ׼ͳһ˹飻ʵҵԶңأɰҵʱ޻áµءƻܲժ˵һΪһͣ˻ƿռ䣬η겻ҵӾʶ㷨켣滮㷨Эͬ㷨һ̹ԣһ͡ñȸߵгٺͱÿĥϡͨʵҵʾ뼼Ŷռһ߷ݣ","央广网 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丘陵农业","采摘机器人丘陵农业黄花菜山西-458","2026-08-12T23:57:22.978146Z",{"id":1067,"title":1068,"url":1069,"summary":1070,"summary_zh":11,"content":1071,"source_name":1072,"source_url":11,"published_at":1073,"category":651,"cover_url":11,"hotness":385,"is_selected":581,"score":1074,"score_detail":1075,"sources":1077,"tags":1079,"primary_topic":1082,"secondary_topics":1083,"classification":1085,"search_phrases":1096,"slug":1099,"view_count":627,"doi":11,"paper":11,"created_at":1100},457,"湖北研发首台丘陵山地专用栀子采摘机器人——湖北省智能农机装备创新联合湖北大学开展关键攻关","https:\u002F\u002Fm.sohu.com\u002Fa\u002F1059927202_122066679","2026年8月,湖北农发集团旗下湖北省智能农机装备创新有限公司联合湖北大学、湖北乡投集团,成功获批2026年度湖北省科技计划重点项目,正式启动'丘陵山区栀子采摘视觉—夹具协同定位与柔顺抓取关键技术研发'。项目团队聚焦'看得准、抓得稳、走得灵'三大目标,突破三项核心技术:基于深度视觉与果枝几何建模的毫米级三维定位算法,抗遮挡、抗光照干扰能力显著提升;首创视觉—夹具实时协同的力位闭环控制策略,实现'边看边抓'动态柔顺作业,抓取成功率预计达86.2%;采用轻量化模块化集成设计,整机重量低于35公斤。项目计划于2026年底前完成首台栀子采摘智能机器人样机研制,果实识别率≥90%、损伤率\u003C5%。","2026年8月，湖北农发集团旗下湖北省智能农机装备创新有限公司联合湖北大学、湖北乡投集团，成功获批2026年度湖北省科技计划重点项目，正式启动‘丘陵山区栀子采摘视觉—夹具协同定位与柔顺抓取关键技术研发’。该项目直击山区栀子产业长期面临的‘用工荒、损耗高、机械不适配’三大痛点，标志着我国特色中药材智能化采收迈出关键一步。\n\n栀子作为国家地理标志产品和天然色素核心原料，全省种植面积超8万亩，90%集中于鄂西、鄂东南等丘陵山区。每年6—7月集中采收期仅持续20天左右，人工采摘成本占总生产成本逾65%，且熟练采收工逐年减少。现有通用采摘设备在坡地、密枝、强光多变环境下识别率不足60%，果实损伤率高达20%以上。\n\n项目团队聚焦‘看得准、抓得稳、走得灵’三大目标，突破三项核心技术：基于深度视觉与果枝几何建模的毫米级三维定位算法，抗遮挡、抗光照干扰能力显著提升；首创视觉—夹具实时协同的力位闭环控制策略，实现‘边看边抓’动态柔顺作业，抓取成功率预计达86.2%；采用轻量化模块化集成设计，整机重量低于35公斤，可适配15°以上坡度及0.8米窄行距，真正实现‘上得了山、进得了园、采得下果’。\n\n项目计划于2026年底前完成首台栀子采摘智能机器人样机研制，果实识别率≥90%、损伤率＜5%，核心指标达国内领先水平。成果将优先在宜昌秭归、黄冈罗田等栀子主产区开展田间验证，为全国丘陵山区道地药材智能化采收提供‘湖北方案’。","搜狐网\u002F湖北日报 2026-08-07","2026-08-07T00:00:00Z",73,{"impact":321,"substance":508,"depth":654,"authority":385,"freshness":408,"relevant":455,"comment":1076},"省级农业科技项目，聚焦丘陵山地栀子采摘机器人研发，数据详实，技术目标明确，但时效性稍差。",[1078],{"name":1072,"url":1069},[591,1080,1081,1051],"湖北","栀子采摘",{"code":112,"slug":113,"name":114,"path":115,"parent_code":72},[1084],{"code":120,"slug":121,"name":122,"path":123,"parent_code":72},{"status":596,"locked":581,"version":4,"method":597,"evidence":1086},{"candidates":1087,"agricultural_evidence":602},[1088,1092],{"code":112,"score":416,"supported":602,"title":1089,"abstract":1090,"tags":1091},[946],[946],[591],{"code":120,"score":173,"supported":602,"title":1093,"abstract":1094,"tags":1095},[677],[],[],[1097,1098],"丘陵农业 智能农机 栀子采摘 湖北","丘陵农业 智能农机","丘陵农业智能农机栀子采摘湖北-457","2026-08-12T23:57:22.954852Z",{"id":1102,"title":1103,"url":1104,"summary":1105,"summary_zh":11,"content":1106,"source_name":1107,"source_url":11,"published_at":1073,"category":651,"cover_url":11,"hotness":385,"is_selected":581,"score":1108,"score_detail":1109,"sources":1111,"tags":1113,"primary_topic":1116,"secondary_topics":1117,"classification":1119,"search_phrases":1139,"slug":1142,"view_count":69,"doi":11,"paper":11,"created_at":1143},456,"全国智慧农业创新大赛在雄安举办——中科院自动化所串番茄采摘机器人斩获设施小番茄采摘赛道第一名","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7671092490225451539\u002F","近日,2026年全国智慧农业创新大赛在雄安举办,中科院自动化所自主研发的串番茄采摘机器人在设施小番茄采摘机器人赛道拔得头筹,全程无人工干预、不伤植株藤蔓,30分钟采收75串番茄,斩获总分200分、线性得分满分的优异成绩。本次大赛共设置六大农业技术应用赛道,全国70余家高校、科研院所及企业队伍同台开展实景实操竞技。团队新研发柔顺剪式末端执行结构,搭配具身智能高精度采摘算法模型,融合可见光、触觉多模态感知技术,可精准判别果实成熟度、锁定最优采摘点位,真正实现低损伤、标准化智能采收。这款智能采摘装备已联合中科院遗传与生物发育研究所,在北京、山西、广西多地温室、园区完成示范落地。","2026-08-07 09:50·[怀柔融媒](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAXDYwUw0px2_OPdLzHWKHzibqEAcAUd4cuJXpgBvAu0E\u002F?source=tuwen_detail)\n\n近日，2026年全国智慧农业创新大赛在雄安举办。中科院自动化所自主研发的串番茄采摘机器人在设施小番茄采摘机器人赛道拔得头筹，全程无人工干预、不伤植株藤蔓，30分钟采收75串番茄，斩获总分200分、线性得分满分的优异成绩。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Fccda56567b964d2b979671e541236190~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1787183931&x-signature=sYt1zP%2BFzhWttz0IGk1vDUFfjRg%3D)\n\n本次大赛共设置六大农业技术应用赛道，全国70余家高校、科研院所及企业队伍同台开展实景实操竞技。该赛道要求机器人在标准连栋玻璃温室内自主完成成熟果串识别定位、无损采摘、精准放置全套作业。自动化所采摘机器人高质量完成全流程作业，充分验证了AI赋能现代农业的可行性，为无人化未来农场规模化落地提供优质实践样本。\n\n针对温室果蔬果实堆叠、枝叶遮挡造成采摘难度大、传统设备易伤果漏采等问题，团队新研发柔顺剪式末端执行结构，搭配具身智能高精度采摘算法模型。这套装备融合可见光、触觉多模态感知技术，可精准判别果实成熟度、锁定最优采摘点位，真正实现低损伤、标准化智能采收，提升温室果蔬自动化作业效率。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002Fb2b65c6eee6446c183baf0d8cd5b3b1f~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1787183931&x-signature=n1kTb8775ayCen6ySesJyOXEg%2B4%3D)\n\n目前这款智能采摘装备已联合中科院遗传与生物发育研究所，在北京、山西、广西多地温室、果园完成示范落地，成为高附加值果蔬采收专用智能装备。\n\n团队已于今年3月同中国科学院大学博士农场郭家坞基地达成深度技术合作，计划9月进驻基地开展实景田间试验，加速智慧农业技术落地转化。\n\n本次参赛项目由怀柔镇、国科大博士农场郭家坞基地联合推介，推动实验室前沿农业机器人技术走向赛场、落地田间。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002Fc96c764faebe4f44b3d49dbfbfdcdc9f~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1787183931&x-signature=6AqYQkLb7FZSLvYRhDGfHp7szmA%3D)\n\n国科大博士农场郭家坞基地依托中科院大学科研与人才资源，以“人工智能+机器人+生态农场”为核心建设思路，目标打造国内首座全流程全自动智能机器人农场。怀柔镇相关负责人表示，后续将持续扶持博士农场基地建设，推动科技、农业、文旅融合发展，以智能农机装备为抓手打造区域智慧农业标杆。\n\n**END**\n\n【转载请注明来源：北京怀柔公众号】\n\n文字：袁靖茗\n\n编辑：魏润佳","怀柔融媒 2026-08-07",66,{"impact":361,"substance":508,"depth":601,"authority":173,"freshness":408,"relevant":455,"comment":1110},"报道了智慧农业创新大赛中采摘机器人的技术突破与应用落地，具有行业进展价值，但信源为地方媒体且时效性一般。",[1112],{"name":1107,"url":1104},[588,1114,677,1115],"雄安","中科院",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[1118],{"code":120,"slug":121,"name":122,"path":123,"parent_code":72},{"status":596,"locked":581,"version":4,"method":597,"evidence":1120},{"candidates":1121,"agricultural_evidence":602},[1122,1126,1130,1134],{"code":120,"score":416,"supported":602,"title":1123,"abstract":1124,"tags":1125},[677],[677],[677],{"code":16,"score":416,"supported":602,"title":1127,"abstract":1128,"tags":1129},[588],[588],[588],{"code":279,"score":524,"supported":602,"title":1131,"abstract":1132,"tags":1133},[1026],[1026],[],{"code":324,"score":627,"supported":602,"title":1135,"abstract":1136,"tags":1138},[],[1137],"温室",[],[1140,1141],"采摘机器人 智慧农业 中科院 雄安","采摘机器人 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林先昌）近日，福建省工业和信息化厅、福建省农业农村厅联合下发通知，组织征集农业领域机器人典型应用场景申报工作，择优遴选一批技术先进、成熟可用、便于复制推广的农业机器人应用案例，助力我省智慧农业、数字乡村建设。\n\n本次征集面向种植、养殖、农产品初加工三大重点领域。聚焦育苗繁育、耕整、播栽、田间管理、收获，饲养、繁育、畜禽产品采集、废弃物资源化利用与无害化处理，农产品初制加工、储运等关键环节，征集遴选一批技术先进、成熟度高、成效明显、应用前景广阔、可复制推广的机器人典型应用场景，并加强推广应用。\n\n种植领域征集农情监测、精细耕整、育种育苗巡检、授粉嫁接、精密播种移栽、施药除草、果蔬采摘与收获等机器人典型应用场景。养殖领域重点征集养殖巡检、精准饲喂、行为监测、疫苗注射、清污消杀、挤奶、水产捕捞等机器人典型应用场景。农产品初加工领域重点征集智能化屠宰、无人吊运、检测分级、搬运与码垛、仓储管理等机器人典型应用场景。\n\n通知明确，申报须采取联合体形式，由机器人研制单位牵头，联合农业企业、家庭农场、农业社会化服务组织等农业经营主体共同申报，参与单位原则上不超过5家。申报场景要求技术成熟，已至少在1个真实农业生产场景中应用，能够切实解决农业生产中的实际问题，具有较强的引领作用和较好的推广前景。能够体现机器人与先进农艺、人工智能、物联网等深度融合，涉及的作业效率、精度、可靠性、成本效益等关键指标具有较强领先性，关键技术达到国内领先或国际先进水平。机器人产品核心自主知识产权权属清晰，无相关纠纷问题。\n\n通知还提到，工业和信息化部、农业农村部聚焦技术先进性、场景成熟度、可复制推广性等要求，共同组织遴选并公布农业领域机器人典型应用场景名单，总结形成一批可复制可借鉴的成果。鼓励各地工业和信息化、农业农村主管部门对入选场景给予政策支持并予以优先推广。","东南网 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