Plant Disease Detection Using Deep Learning

Saranya.T; Ananda Selva Karthik.T

Plant Disease Detection Using Deep Learning

Author : Saranya.T, Ananda Selva Karthik.T Journa Name: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING TRENDS Country : India Volume: 10 issue: 3 Year: 2024 Views : 610

Abstract:

Deep learning, a subfield of artificial intelligence, has garnered significant attention in recent years due to its capabilities in automatic learning and feature extraction. This paper provides a comprehensive review of the research progress in utilizing deep learning technology for the identification of crop leaf diseases. The advantages of deep learning, including objective feature extraction and improved research efficiency, are highlighted, particularly in comparison to traditional methods reliant on manual feature selection. Moreover, the paper discusses the current trends, challenges, and advancements in the detection of plant leaf diseases using deep learning and advanced imaging techniques. By presenting both the progress and the unresolved challenges, this review aims to serve as a valuable resource for researchers in the fields of plant disease detection and pest management.