Detection system of smart sprayers: Status, challenges, and perspectives  

作　　者：Sun Hong Li Minzan Qin Zhang 

机构地区：[1]Key Laboratory of Modern Precision Agriculture System Integration Research,China Agricultural University,Beijing 100083,China [2]Center for Precision&Automated Agricultural Systems,Washington State University,Prosser,WA 99350,USA

出　　处：《International Journal of Agricultural and Biological Engineering》2012年第3期10-23,共14页国际农业与生物工程学报（英文）

基　　金：supported by the National Natural Science Foundation of China(Project No.U0931001,31071330);the 863 Program(2012BAH29 B04,2012AA101901);the Science Research Foundation for Young Teachers(Project No.2011JS151)。

摘　　要：A smart sprayer comprises a detection system and a chemical spraying system.In this study,the development status and challenges of the detection systems of smart sprayers are discussed along with perspectives on these technologies.The detection system of a smart sprayer is used to collect information on target areas and make spraying decisions.The spraying system controls sprayer operation.Various sensing technologies,such as machine vision,spectral analysis,and remote sensing,are used in target detection.In image processing,morphological features are employed to segment characteristics such as shape,structure,color,and pattern.In spectral analysis,the characteristics of reflectance and multispectral images are applied in crop detection.For the remote sensing application,vegetation indices and hyperspectral images are used to provide information on crop management.Other sensors,such as thermography,ultrasonic,laser,and X-ray sensors,are also used in the detection system and mentioned in the review.On the basis of this review,challenges and perspectives are suggested.The findings of this study may aid the understanding of smart sprayer systems and provide feasible methods for improving efficiency in chemical applications.

关 键 词：smart sprayer target detection weed control disease detection chemical application 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]