期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：60
期号：2
出版社：Journal of Theoretical and Applied
摘要：The betelvine cultivation is very much affected by diseases and outcome of the farmer is big loss for betelvine cultivation. The aim of this paper is to detection of Powdery mildew disease in the betelvine plants using digital image processing techniques. The digital images of the uninfected or normal betelvine leaves and the digital images of the infected in powdery mildew diseased betelvine leaves at different stages are collected from different betelvine plants using a high resolution digital camera and collected betelvine images are stored with JPEG format. The digital image analyses of the leaves are done using the image processing toolbox in MATLAB. The mean values for all sample leaves are computed and calculated mean values are stored in the system. The mean values of test leaves are computed and compared with the stored values. As the result of this comparison, it is identified whether test leaves are affected by powdery mildew disease or not. Finally this analysis helps to recognize the powdery mildew disease can be identified before it spreads to entire crop.
