Disease Detection of Plants using Deep Learning Approach— A Review
Ajay Chakravarty, Arpit Jain, Ashendra Kumar Saxena
Abstract
A subset of artificial intelligence is deep learning. Machine learning and feature extraction have attracted a lot of interest in academia and business recently thanks to their benefits. It has been extensively used in voice, natural language, and picture and video analysing. Additionally, it has also established itself as a model for research, Taking agricultural plant protection as an example, discover plant ailments, evaluate pest populations etc. Deep learning applications in the area of Identification of plant illness can prevent flaws brought on by the plant's artificial selection of disease point features. Deep Learning also involved to Find the most measurable symptoms of a disease, making research more successful, and speeding up technological advancement. This article shows current developments in the study of crop leaf illness diagnosis using deep learning technology. By deep learning methods & cutting-edge technology, its draw attention to current patterns and difficulties in identification of plant leaves diseases. I hope it succeeds a useful review for researchers looking into plant leaves diseases and pest detection. On the other hand, we have talked about few present difficulties & issues that should be rectified over time.