APPLICATIONS OF MACHINE LEARNING AND DEEP LEARNING IN FARMING: A REVIEW

Abstract

India is largely an agriculture product producing country. Agriculture in India is facing many challenges like drought, flood, disease, pricing, yield and etc. Precision agriculture is one of the rapidly developing fields. To address current challenges in agriculture, Deep learning stands as a promising technology in precision farming, facilitating the advancement of sophisticated disease detection and categorization methods Plant disease recognition by deep learning, eliminates the need for manual identification of disease features, rendering feature abstraction more objective and enhancing technological efficiency. This paper provides a comprehensive review of machine learning and deep learning techniques applied to detect and classify plant diseases. The paper discusses available datasets for crop and plant disease detection and abstraction followed by a comparative investigation of various algorithms utilized in leaf disease detection.