Disease Classification in Citrus Leaf using Deep Learning
P Sudharshan Duth, Shreeharsha Gopalkrishna Bhat
Abstract
India is an agricultural country. Its economy is largely based on crop production. The continuous improvement of India’s agriculture sector is required to maintain its competitive advantage in the global market. It is through proper monitoring that the crop is healthy and disease-free. Finding the most effective and appropriate one can be very challenging and time-consuming. Usually, finding the right one requires the help of experts and equipment such as Machine Vision Systems. Deep learning is a promising technology for pattern recognition in this research work, a detailed study of five different leaf diseases. They are Blackspot, Canker, Miner, and Healthy leaves are used for the detection and classification of citrus leaf diseases using various neural networks and a comparative outcome is the solution of this work.