Plant Leaf Disease Detection using SVM-IWD Approach
Keywords:
Plant Disease Detection, Support Vector Machine, Intelligent Water Droplets algorithm, Swarm Intelligence,Abstract
Human is a social animal with their great dependence on plants in the direct or indirect manner. Plant provides us food, fruit, living resources like oxygen etc. Crops are also the part of plant category. So, there should be proper care of plants. There are various reasons in which plants can be affected or crops can be destroyed. In this research work, SVD-IWD approach is used for the plant disease detection. Plant diseases are analyzed from their leaves. Here, SVD (Support Vector Machine) is used to classify plant diseases and IWD (Intelligent Water Droplet algorithm) is used to optimize the evaluated results. For the experimentation, dataset of plant leaf affected from bacterial disease ‘Bacterial Blight’ and fungal diseases ‘Alternaria Alternata’, ‘Fungal Leaf Spot’ and ‘Fungus Anthracnose’ are considered. Overall results are evaluated in terms of accuracy in comparison with individual SVM approach
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