With the rapid development of machine learning,which is a cutting-edge technology,the intelligent process of agricultural machinery has been significantly accelerated.Especially,it shows great potential in deep mining and accurate processing of operation data of agricultural machinery.This paper introduces the research progress of machine learning in agricultural machinery fault monitoring and diagnosis,data-driven decision making and automatic driving.At the same time,it also points out the challenges faced by machine learning in the field of agricultural machinery and the future development trend,so as to provide reference for the follow-up intelligent research of agricultural machinery.
关键词
农业机械/机器学习/故障监测与诊断/决策/自动驾驶
Key words
Agricultural machinery/Machine learning/Fault monitoring and diagnosis/Decision making/Automatic driving
维普
万方数据