Plant Disease Prediction Using AI

Artificial Intelligence (AI) has been revolutionized the field of agriculture, particularly in plant disease prediction. AI algorithms can correctly forecast plant illnesses at an early stage since they have been trained on enormous datasets of plant pictures and disease patterns., enabling timely intervention and treatment. These models leverage machine learning algorithm such as Convolutional Neural Networks (CNN) for image recognition and pattern detection. By lowering the excessive use of pesticides, artificial intelligence (AI) in plant disease prediction not only improves the effectiveness of disease control but also supports sustainable agricultural methods. Furthermore, AI-powered mobile applications provide farmers with real-time disease diagnosis, making this technology accessible even in remote farming communities.