Detection of the affected area and classification of pests using Machine Learning

Dr.Archana Alexander,Faculty of information Technology, KL University ,India

IJTCSE-ISSN 2349–1582

Volume No :10,Issue:02

Accepted for June 2023 Issue

Abstract

This research paper presents a novel approach to detecting the affected area and classifying pests using machine learning techniques. We propose a method to automate the detection of pests in crops using image processing, and we evaluate the effectiveness of different types of classifiers. Experimental results show that our proposed method outperforms existing approaches in terms of accuracy and computational time. Our work can provide a valuable tool for farmers and agricultural experts to identify pests more efficiently and accurately, ultimately leading to better crop management practices.