ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

TOMATO LEAF DISEASEDETECTION USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING


Abstract

Abstract:In these years we get to know that, agriculture is the main source of nationalincome for most developing countries. Thus, this is one of the important andmain reason to be considered for the detection of plant disease, as disease isthe main cause of rottening of fruits or vegetables or crops. Thus we canassume that if proper care is not taken regarding this thing then it leads toloss of money, time, quality, quantity, etc. Thus the main motive is to reducethe use of pesticides and thus yield a good crop and increase the productionrate. Plant disease can be detected using image processing. Disease detectionfollows some steps like pre-processing of the image, feature extraction,classification, and prediction of classified disease. Thus creating arecognition system can help in evaluating high precision image of the plant forproper cure and further prevention

Keywords:Digital Image Processing, Plant Pathology,Mathematical Statistics, Image Segmentation


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