农机自动驾驶行业发展现状与对策建议OA
Development status and countermeasure suggestions of agricultural machinery autonomous driving industry
随着农业智能化转型推进,农机自动驾驶成为破解劳动力短缺等问题的关键.近年来,美日欧等国家和地区通过主机企业引领技术创新、政企协同强化配套支撑、差异化创新适配场景、技术与标准加强协同等举措在农机自动驾驶行业形成领先优势.我国农机自动驾驶行业在政策支持下快速发展,市场规模持续扩大,应用场景不断拓展,但仍面临核心技术瓶颈、标准法规不完善、试验验证不足和基础设施不健全等挑战.该文在分析国内外技术与产业现状,剖析国内外差距的基础上,提出加强技术研发、完善标准法规、强化验证与基础设施建设的发展建议,旨在为相关部门及时把握农机自动驾驶产业发展态势、优化产业布局提供决策参考.
With advancement of agricultural intelligent transformation,autonomous driving of agricultural machinery has become key to solving issues such as labor shortage.In recent years,countries and regions such as the United States,Japan,and Europe have estab-lished leading edge in agricultural machinery autonomous driving industry through various measures.These include leading technologic-al innovation through host enterprises,strengthening supporting infrastructure through government-enterprise collaboration,adapting to different innovation scenarios,and enhancing collaboration between technology and standards.With support of policies,China's agri-cultural machinery autonomous driving industry has developed rapidly,with market scale continuously expanding and application scen-arios constantly expanding.However,it still faces challenges such as core technology bottlenecks,imperfect standards and regulations,insufficient experimental verification,and inadequate infrastructure.Current situation of technology and industry at home and abroad,gap between domestic and foreign were analyzed.Development suggestions to strengthen technological research and development,im-prove standards and regulations,and enhance verification and infrastructure construction were proposed.It provided decision-making references for relevant departments to timely grasp development trend of agricultural machinery autonomous driving industry and optim-ize industrial layout.
张安琪;欧阳安;张晨曦
北京市农林科学院智能装备技术研究中心,北京 100097工业和信息化部装备工业发展中心,北京 100846江苏海洋大学机械工程学院,江苏 连云港 222005
农业科技
农机自动驾驶全球导航卫星系统环境感知智能决策路径规划轨迹跟踪
agricultural machinery autonomous drivingglobal navigation satellite systemenvironmental perceptionintelligent decision-makingpath planningtrajectory tracking
《农业工程》 2026 (4)
1-7,7
工业和信息化部"推动智能农机装备发展相关支撑工作"项目(ZBYS-ZYC-2025-6)
评论