Open AccessIdentification of Leaf Disease Using Image Processing Technique
Author(s) -
Ankit Wagh,
Ritwik Chumble,
Santosh Kangane,
Pranav Bakare
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1504
Subject(s) - image processing , computer science , artificial intelligence , digital image processing , computer vision , image segmentation , feature extraction , identification (biology) , feature detection (computer vision) , field (mathematics) , segmentation , image (mathematics) , pattern recognition (psychology) , mathematics , botany , pure mathematics , biology
The increased availability of smartphones has made it easier for taking technology to every individual. Technology can play important role in the field of agriculture to improve outcomes. Plant disease is one of the important reasons for the decrement of yield. Bridging technology with agriculture can give revolutionary change. It is challenging to monitor the disease of plants manually. It consumes important time, resources, and need efforts. Hence faster image processing technique is used as a solution for it. Disease detection using image processing involves multiple steps like the acquisition of images, pre-processing, segmentation, feature extraction, and classification. This paper discusses a faster image processing technique using the KNN method. This algorithm gives an asymptotically faster method for image processing.