Detection of Various Plant Disease Stages and Its Prevention Method Based on Deep Learning Technique

Abstract

About 70% of India's rural population relies mostly on agriculture for their income. There are many different crops grown in India. In India, more than 500 different crop kinds are grown. This research propose novel technique in detection of various plant disease stages using feature extraction and classification using deep learning techniques. here the input data has been collected from tomato and grape leafs. This data has been processed for noise removal, image resize and normalization. Then this image features has been extracted using graph Convolutional networks and classification of extracted features has been done using ResNet-50. The suggested model offers a high-performance remedy for crop diagnosis in the actual farming setting.