Computer vision technology in agricultural automation--A review

作     者：Hongkun Tian Tianhai Wang Yadong Liu Xi Qiao Yanzhou Li 

作者机构：College of Mechanical EngineeringGuangxi UniversityNanning 530004P.R.China Agricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120P.R.China Key Laboratory of Integrated Pest Management on Crops in South ChinaMinistry of Agriculture and Rural AreaSouth China Agricultural UniversityGuangzhou 510642P.R.China 

出 版 物：《Information Processing in Agriculture》 (农业信息处理（英文）)

年 卷 期：2020年第7卷第1期

页      面：1-19页

核心收录：

学科分类：0907[农学-林学] 0908[农学-水产] 082804[工学-农业电气化与自动化] 08[工学] 0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0905[农学-畜牧学] 0707[理学-海洋科学] 0828[工学-农业工程] 0906[农学-兽医学] 0829[工学-林业工程] 0901[农学-作物学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The work in this paperwas supported by the National Natural Science Foundation for Young Scientists of China(31801804) the Guangxi Innovation-Driven Development Special Fund Project(GuikeAA18242011) the Key Research and Development Program of Nanning(20192065) the Fund Project of the Key Laboratory of Integrated Pest Management on Crops in South China,Ministry of Agriculture and Rural Area,P.R.China(SCIPM2018-05) 

主　　题：Computer vision Image processing Agricultural automation Intelligent detection 

摘      要：Computer vision is a field that involves making a machine “see.This technology uses a camera and computer instead of the human eye to identify,track and measure targets for further image *** the development of computer vision,such technology has been widely used in the field of agricultural automation and plays a key role in its *** review systematically summarizes and analyzes the technologies and challenges over the past three years and explores future opportunities and prospects to form the latest reference for *** the analyses,it is found that the existing technology can help the development of agricultural automation for small field farming to achieve the advantages of low cost,high efficiency and high ***,there are still major ***,the technology will continue to expand into new application areas in the future,and there will be more technological issues that need to be *** is essential to build large-scale data ***,with the rapid development of agricultural automation,the demand for professionals will continue to ***,the robust performance of related technologies in various complex environments will also face *** analysis and discussion,we believe that in the future,computer vision technology will be combined with intelligent technology such as deep learning technology,be applied to every aspect of agricultural production management based on large-scale datasets,be more widely used to solve the current agricultural problems,and better improve the economic,general and robust performance of agricultural automation systems,thus promoting the development of agricultural automation equipment and systems in a more intelligent direction.