Plant Leaf Disease Detection and Classification Using Machine Learning

A viable solution to problems in agricultural management has been the identification and categorization of plant leaf diseases through machine learning techniques. For early intervention and efficient disease control, this work focuses on developing a system that can automatically detect and classify plant leaf illnesses. The technology examines digital photos of plant leaves to detect symptoms that may be signs of several diseases by using machine learning algorithms like CNN and Random Forest. A collection of captioned photos representing various plant species and disease types makes up the training and testing dataset. In order to help farmers make quick decisions and allocate resources, the system uses machine learning algorithms to reliably classify photos into illness categories. Through its potential answer, this research advances agricultural technology.