Tea Leaf Disease Detection Using Deep Convolutional Network

Abstract

Tea consumption is global and indispensable to economies; the Panchagarh district in Bangladesh is no exception. Disease management on the tea leaf using conventional methods is labor-intensive, time-consuming, and error-prone, so comprehensive monitoring is not feasible. These limitations critically facilitate ineffective disease management, and the outcome can be poor yield and quality of crops. Thus, an efficient, accurate, and scalable solution is imperative to pave the way for sustainable tea cultivation.