Paper Contents
Abstract
A vital part of human civilization, agricultural biodiversity is necessary to supply humans with food and raw materials. The crop disease is mainly caused by pathogenic organisms such as fungi, bacteria, and nematodes; soil pH,temperature extremes,variations in the amount of moisture and humidity in the air and other factors. Research in crop disease is aimed towards an increase of productivity and quality of food.In this paper an automatic identification and classification of crop diseases using machine learning methods based on Image Processing, Support Vector Machines (SVMs), and Random Forest.Using these techniques, crop disease identification made it possible to get notable accuracies.
Copyright
Copyright © 2024 Bakka Rajeev Gandhi, Jonnakuti Rakesh Babu. This is an open access article distributed under the Creative Commons Attribution License.
