Plant Leaf Disease Detection Using Computer Vision Techniques and Machine Learning
Kalpesh Joshi, Rohan Awale, S. Ahmad, Sanmit Patil, Vipul Pisal
Abstract
Agriculture production is extremely important in today’s economy because disease development in plants is relatively common, early detection of disease in plants is critical in the agriculture field. The automatic finding of such early-stage disease detection is helpful as it decreases a great effort of supervising in large farmhouses of yields. Using digital image processing and machine learning algorithms, this paper presents a method for detecting plant disease. The disease detection is done on the yields’ various leaves. The presented system for plant disease detection is simple and computationally efficient which requires less time for prediction than other deep learning-based approaches. The accuracies for the various plant and leaf diseases are calculated and presented in this paper.