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农用拖拉机智能化技术研究进展与应用

Research Progress and Application of Intelligent Technology for Agricultural Tractors
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摘要 随着农业现代化的不断推进,农用拖拉机的智能化技术成为提高农业生产效率和作业精准度的关键。该文系统综述了农用拖拉机智能化技术的研究进展与应用,基于传感器技术、物联网、大数据分析、自动导航系统及智能控制系统等关键技术的应用现状及发展趋势,分析了智能农用拖拉机在自主导航、精准农业作业、农机协同控制及作业数据实时监控的应用优势,并探讨当前农用拖拉机智能化技术面临的问题,未来应发展更加集成化的智能系统、跨平台互联互通及人工智能技术的深度应用,以期为农机产业智能化升级提供理论和技术参考。 With the continuous advancement of agricultural modernization,the intelligent technology of agricultural tractors has become the key to improve the efficiency of agricultural production and operational accuracy.This paper systematically reviews the research progress and application of agricultural tractor intelligent technology,based on the current status and development trend of the application of key technologies such as sensor technology,Internet of Things,big data analysis,automatic navigation system and intelligent control system,analyzes the advantages of the application of intelligent agricultural tractor in autonomous navigation,precise agricultural operation,cooperative control of agricultural machinery and real-time monitoring of operational data,and discusses the problems still faced by the intelligent agricultural tractor technology,the future development of a more integrated intelligent system,cross-platform,and the development of intelligent systems,which are the key to improve agricultural production efficiency and operational precision.It also discusses the problems still faced by the current intelligent agricultural tractor technology,the future development of a more integrated intelligent system,cross-platform interconnection and interoperability and the depth of the application of artificial intelligence technology,with a view to providing theoretical and technological references for the intelligent upgrading of the agricultural machinery industry.
作者 杨玉娟 王萍 YANG Yujuan;WANG Ping(Agricultural Mechanization School of Yushu City,Yushu 130400,China)
出处 《农机使用与维修》 2024年第12期97-100,共4页 Agricultural Machinery Using & Maintenance
关键词 智能农用拖拉机 精准农业 物联网 大数据 农业机械 smart farm tractor precision agriculture internet of things big data agricultural machinery
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