Plant Leaf Disease Detection Using Deep Learning

Abstract

Approximately 58% of Indian population is involved in agriculture directly or indirectly, which contributed about 19.9% to the GDP of India in 2020-2021 F.Y. According to a report published by ICAR (Indian Council of Agricultural Research) about 30-35% of annual crop yield are wasted because of pests and diseases which affects the income and livelihood of the farmers. With the advancement in deep learning and computer vision it is now possible to detect the plant disease effectively by observing the disease pattern of leaves of plants. Which will help farmers to classify the disease in their plant. In this study about 12500 images of healthy and infected plant leaves which are available in public domain were used to train deep learning model, which can classify the respected disease. Keywords: Crop disease, Deep learning, Convolutional neural networks

Deep Learning-Based Recognition of Plant Leaf Diseases

“…The practice of augmenting the data makes the model more reliable. Our method can assist farmers in increasing agricultural yields and identifying diseases early on [2].…”