Plant Diseases Detection Using Deep Learning

Plant Diseases Detection Using Deep Learning

Ms. Ranjeeta R. Sawant 1, Mr. Mario Pinto 2

1Student, Information Technology Department, Goa College of Engineering, India.

2Assistant Professor, Information Technology Department, Goa College of Engineering, India

ABSTRACT: Deep learning, a subset of machine learning, has shown great potential in plant disease detection in recent years, with the advantages of automatic learning and feature extraction, it has been widely concerned by academic and industrial circles. At the same time, it has also become a research hotspot in the field of agricultural plant protection, such as plant disease recognition and pest range assessment, etc. The application of deep learning in plant disease recognition can avoid the disadvantages caused by artificial selection of disease spot features, make plant disease feature extraction more objective, and improve the research efficiency and technology transformation speed. This review provides the research progress of deep learning technology in the field of crop leaf disease identification in recent years. In this paper, we will present the current trends and challenges for the detection of plant leaf disease using deep learning and advanced imaging techniques.

Keywords— Rice disease identification, Artificial Intelligence, Deep CNN, Support Vector Machine.