Plant Disease Detection Using Convolutional Neural Networks

Abstract

Abstract: Agriculture must complete a huge effort that involves finding plant diseases. This is something that the economy is extremely dependent on. Due to the prevalence of plant illnesses, finding infections inplants is a crucial task in the agriculture industry. It takes constant examination of the plants to spot infections in the leaves. To put it simply, monitoring the plants requires some form of planned method. The detection of damaged leaves is facilitated by program-based disease identification, which also saves time and human effort. Compared to current methods, the suggested algorithm distinguishes between plant diseases and accurately classifies them. Constant plant monitoring is labor-intensive and expensive to do by humans and it is time- consuming too