Review on Convolutional Neural Network to Plant Leaf Disease Classification

Review on Convolutional Neural Network to Plant Leaf Disease Classification

Mr Dheeraj Kumar

Mr Jayesh Patil

Abstract

Abstract: Crop productivity can be drastically reduced as a result of different diseases, putting food security in jeopardy. Thus, plant diseases detecting to be accurately is necessary and urgent. Traditional classification methods, such as naked-eye inspection and laboratory tests, have a number of drawbacks, including the fact that they are time-consuming and subjective. Deep learning (DL) methods, particularly those based on convolutional neural networks (CNN), are now widely used in the classification of plant diseases. They have partially solved the problems of traditional classification methods. In this paper, we looked at the most recent CNN networks that are relevant to plant leaf disease classification. We summarized the DL principles that are used to classify plant diseases. Additionally, we summarized the challenges and their respective solutions of CNN used in classification of plant disease.

Keywords: Classification of plant disease, DL, CNN.