Plant leaf disease ditection using deep learning techniques

Author Reg. ID: TIJER_151446

Published Paper Id: TIJER2403071

Published In: Volume 11 Issue 3, March-2024

Abstract: Deep learning is a branch of artificial intelligence. In recent years, with the advantages of automatic learning and feature extraction, it has been widely used by academic and industrial circles. It has been widely used in image and video processing, voice processing, and natural language processing. 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 the 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 present the current trends and challenges for the detection of plant leaf disease using deep learning and advanced imaging techniques. We hope that this work will be a valuable resource for researchers who study the detection of plant diseases and insect pests. At the same time, we also discussed some of the current challenges and problems that need to be resolved

Keywords: Disease, India, types, grape, economy, agricultural productivity,Leaf, CNN, KNN

Downloads: 00020

Page No: a524-a528

Country: Mumbai , Maharashtra , India

Research Area: Others area

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2403071

Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2403071

Click Here to Download This Article

Article Preview