Cotton leaf disease identification using pattern recognition techniques

Leaf diseases on cotton plant must be identified early and accurately as it can prove detrimental to the yield. The proposed work presents a pattern recognition system for identification and classification of three cotton leaf diseases i.e. Bacterial Blight, Myrothecium and Alternaria. The images required for this work are captured from the fields at Central Institute of Cotton Research Nagpur, and the cotton fields in Buldana and Wardha district. Active contour model is used for image segmentation and Hu´s moments are extracted as features for the training of adaptive neuro-fuzzy inference system. The classification accuracy is found to be 85 percent.