Review on Machine Learning Technique for Plant Disease Detection

Abstract

The proposed disease detection system exhibits a remarkable accuracy of 93%, indicating its efficacy in identifying plant diseases. This breakthrough innovation has the potential to revolutionize agriculture by reducing the time and expertise required for disease diagnosis. Its implementation empowers farmers to make informed and timely decisions, safeguarding their crops and ultimately enhancing yield and food security. The system's extensive coverage, high accuracy, and ability to save time and labor mark a significant advancement in agricultural practices. By enabling prompt disease identification and informed decision-making, this technology holds the key to improving crop yields, ensuring food security, and bolstering the economic prosperity of communities.