he study described in this paper consists of a method that applies gabor wavelet
transform technique to extract relevant features related to image of tomato leaf in conjunction
with using Support Vector Machines (SVMs) with alternate kernel functions in order to detect
and identify type of disease that infects tomato plant. Initially, we collected real samples of
diseased tomato leaves, next we isolated each leaf in single image, wavelet based feature
technique has been employed to identify an optimal feature subset. Finally, a support ...