They present the use of image analysis based techniques for detection of possible changes in rice leaves indicating deficiency in the balance of mineral levels in rice fields, which is a useful feature for texture image classification using Multilayer perceptrons (MLP) to identify effective features for its grain and a quantitative analysis of the results shows that 88.56% of the pixels are correctly classified.