AI-Driven Corn Disease Detection and Recommendation System Using Machine Learning and Deep Learning

Corn is one of the most harvested crops. However, corn leaf diseases can reduce yield and damage its growth, which can lead to financial losses for farmers. Early detection of these diseases must be a top priority. This article uses leaf images on an ai-based system to identify disease and provide pesticide recommendation using machine learning and deep learning models. A Convolutional Neural Network (CNN) model is used to analyze leaf images and correctly classify the disease. As a result, the system provides the pesticide recommendation based on the disease detected. The Ai-driven approach helps farmers improve yield quality and make better decisions.