Image Analysis and Detection of Tea Leaf Disease using Deep Learning

Abstract

The widespread development of deep learning has directed to the increasing research interest in image recognition technologies, which enables in the field of computerized image categorization and finding of plant diseases. India is the world's largest tea consumer and the second largest tea producer. Diseases can harm the plant's health, which in turn affects its growth. There are a number of tea leaf diseases that target the rate at which the crop grows. The purpose of this paper is to develop a deep CNNs called LeNet to discover the tea plant diseases from leafimage set. As a result, LeNet the perfect CNN model used in further applications to improve the diagnostic measurement of tea leaves as well as other plant leaves.