Plant Disease Prediction System using Machine Learning

Author(s)	Tushar M. Ikhar, Dr. Vilas P. Mahatme, Nikhil S. Sadawarti, Tushar M. Dave, Manthan D. Gabhane, Himanshu A. Bawane
Country	India
Abstract	Plant diseases pose a serious threat to agricultural productivity, causing economic losses and food insecurity. Early and accurate detection is crucial to prevent disease spread and reduce crop damage. This study presents a machine learning–based system that uses image processing and convolutional neural networks (CNNs) to analyse plant leaf images and identify diseases with high accuracy. Experimental results show that the proposed approach effectively detects multiple plant diseases with minimal human involvement. By providing timely and reliable disease identification, the system helps farmers make informed decisions, improve crop health, and enhance overall agricultural productivity.
Keywords	Plant Disease Detection, Machine Learning, Image Classification, Convolutional Neural Networks (CNN), Leaf Image Analysis, Disease Prediction System.
Published In	Volume 7, Issue 2, March-April 2026
Published On	2026-04-24
DOI	https://doi.org/10.63363/aijfr.2026.v07i02.5182

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