This code is implemented from scratch for extracting disease affected portions from images of Jute Plant Stems. Different image processing methods like Hue-based Segmentation, Morphological Analysis (i.e. erosion, dilation etc.), Blob Detection, Largest Connected Component, Color co-occurrence methodology, Texture Analysis etc. are implemented and applied. Extracted features are used for Jute Plant Disease Detection using Multi-class Support Vector Machine.