Maize Leaf Disease Detection Using Machine Learning

Abstract

This research emphases on categorizing and cataloging maize leaves 
three types diseases using machine learning. A collection of maize 
leaves diseases images, including individually healthy and infected 
images samples, was inspected. Five models of machine learning 
Random Forest, SVM, Decision Tree, Logistic Regression, and KNN—
 were gaged through K-fold validation. Midst these, the Random Forest 
model attained the chief accuracy. The results direct that these models 
are real world reliable technique to detect corn leaves viruses in time, 
allowing agriculturalists to keep yields safe from leaves diseases and 
convention inclusive crop quality