期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：2
页码：1617
DOI：10.15680/IJIRCCE.2017.0502071
出版社：S&S Publications
摘要：Nowadays, recognition of leaf diseases is challenging yet important topic in Agricultural field.Worldwide research is going on to recognize the leaf disease with the help of single image. An efficient leaf diseasedetection system will help farmers to gain optimum yield. The proposed approach aims to build system to identifydisease of the grape leaf from leaf image. For disease recognition , system uses color co-occurrence methodology forextracting disease relevant features and neural network as a classifier that can discriminate between diseases such asDowny mildew, powdery mildew & black rot.
