Plant Disease Classification Using Deep Learning Techniques

Abstract

Artificial intelligence (AI) has been a growing field in recent years, with the development of deep learning (DL) techniques providing new opportunities for plant disease classification. Convolutional neural networks (CNNs) and other advanced techniques such as transfer learning, deep ensemble learning, and others have been used to classify plant diseases with high accuracy. However, these techniques are not only complex but also challenging to implement, making it important to provide a comprehensive understanding of their use in plant disease classification. This chapter aims to explore the use of deep learning techniques for plant disease classification. It will provide an overview of the various DL techniques and their applications in the classification of plant diseases. It will also provide a comprehensive understanding of transfer learning, deep ensemble learning, and other advanced methods in plant disease classification. Additionally, the chapter will provide case studies to illustrate the practical applications of DL techniques in plant disease classification.