Application of Image Processing Techniques and Artificial Neural Network for Detection of Diseases on Brinjal Leaf.

The plant diseases cause damage and monetary losses in crops. The farmers monitor the crops in the field at regular intervals in order to detect various diseases. Instead of manual diagnosis, computers have been used to provide automatic detection and classification of different types of diseases. In this paper, the lesion areas affected by diseases are segmented. Further, discrete wavelet transform based image fusion technique is used to improve the imaging quality reducing redundancy. The colour, texture and structural based features of the fused images are extracted and given as an input to the ANN for classification which provides better performance. [ABSTRACT FROM AUTHOR]