基于Android平台的水稻病害智能诊断关键技术研究

摘要

Aiming at slow mobile-client upload of pictures,loss of data-flow,limited image searching and processing capacity and other problems,this paper put forward the method of real-time.collecting,compressing and uploading rice disease images in client,remote server's identification,returning the results.Some key technologies in the implementation process of the system were expounded,such as JPEG image compression technology and OpenCV image processing technology.And intelligent diagnosis platform of rice diseases based on Android was constructed.The test results showed that the system could identify disease categories accurately and timely,and provide accurate diagnosis information and prevention methods,meanwhile it could solve the problems of low image processing ability and slow image uploading in client.This system had strong practicability.%针对手机客户端上传图片缓慢、损耗数据流量、图像检索和处理能力有限等问题,提出客户端对病害图像进行实时采集和压缩并上传、远程服务端识别并返回结果的方法,阐述了系统实现过程中的一些关键技术(如JPEG图像压缩技术、OpenCV图像识别处理技术等),且基于Android平台构建了水稻病害智能诊断平台.结果表明,该系统能及时、准确地鉴别病害种类,提供准确的诊断信息和防治方法,同时还能解决客户端图像处理能力低下、图像上传缓慢等问题,具有较强的实用性.