Paper Contents
Abstract
The agricultural output that the growing Indian population relies on is hindered by several factors, including diseases that affect different parts of plants and the incorrect identification of these diseases at the wrong time. Therefore, there is a need for methods that assist farmers in accurately diagnosing diseases and providing timely results. This proposed technique involves collecting a leaf sample from the farmer, using segmentation methods to isolate the diseased region, and analyzing the features of the segmented leaf using the SVM algorithm to determine whether it is healthy or unhealthy. If the leaf is deemed unhealthy, the type of disease affecting it is detected.
Copyright
Copyright © 2023 Yogeesh TR. This is an open access article distributed under the Creative Commons Attribution License.
