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农业装备智能控制技术研究现状与发展趋势分析
引用本文:刘成良,林洪振,李彦明,贡亮,苗中华.农业装备智能控制技术研究现状与发展趋势分析[J].农业机械学报,2020,51(1):1-18.
作者姓名:刘成良  林洪振  李彦明  贡亮  苗中华
作者单位:上海交通大学机械与动力工程学院,上海200240;上海交通大学机械系统与振动国家重点实验室,上海200240;上海交通大学机械与动力工程学院,上海200240;上海大学机电工程与自动化学院,上海200444
基金项目:国家重点研发计划项目(2016YFD07001)和上海市科技兴农项目(2019-02-08-00-08-F01122)
摘    要:智能控制是农业装备实现智能化的关键核心技术。从农业装备智能感知、智能控制、智能决策、自主作业、智能管控五方面阐述分析了国内外智能农机的发展现状,着重阐述了约翰迪尔、凯斯、科乐收、爱科等国际农机企业在农机智能控制方面的最新技术进展,分析了我国智能农机与国外的差距,指出了制约我国农机智能控制发展的关键问题。为实现我国从农机制造大国向农机制造强国的转变,融合大数据、云计算、物联网、人工智能等信息领域的前沿技术,提出了"智能在端、智慧在云、管控在屏"的智能农机系统发展新思路,指明现场控制智能化、云端决策智慧化、监控调度移动终端化是未来智能农机的发展方向。

关 键 词:农业机械  智能控制  感知  决策
收稿时间:2019/11/20 0:00:00

Analysis on Status and Development Trend of Intelligent Control Technology for Agricultural Equipment
LIU Chengliang,LIN Hongzhen,LI Yanming,GONG Liang and MIAO Zhonghua.Analysis on Status and Development Trend of Intelligent Control Technology for Agricultural Equipment[J].Transactions of the Chinese Society of Agricultural Machinery,2020,51(1):1-18.
Authors:LIU Chengliang  LIN Hongzhen  LI Yanming  GONG Liang and MIAO Zhonghua
Institution:Shanghai Jiao Tong University,Shanghai Jiao Tong University,Shanghai Jiao Tong University,Shanghai Jiao Tong University and Shanghai University
Abstract:Intelligent control is the key technology for the intelligentization of agricultural equipment.From the aspects of intelligent perception,intelligent control,intelligent decision-making,autonomous operation,and intelligent control of agricultural equipment,this paper analyzes the development status and trends of intelligent agricultural machinery at home and abroad. The latest technological advances in agricultural machinery intelligent control by agricultural machinery enterprises,as well as the gap between China ’s intelligent agricultural machinery and foreign countries,the key issues restricting the development of agricultural machinery intelligent control in China. In order to realize China ’ s transformation from a big country in agricultural machinery manufacturing to a strong country in agricultural machinery manufacturing,integrating cutting-edge technologies in information fields such as big data,cloud computing,the Internet of Things,artificial intelligence,etc. New ideas for the development of intelligent agricultural machinery systems,namely,intelligent field control,intelligent cloud decision-making,and mobile terminal monitoring and dispatching.
Keywords:agricultural machinery  intelligent control  perception  decision-making
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