One of the most difficult jobs in agriculture is identifying plant diseases early on. Early disease detection is crucial for increasing agricultural yield. With the application of machine learning and deep learning techniques, this issue has been resolved. Large crop farms can now detect plant illnesses automatically, which is advantageous as it cuts down on monitoring time. Prediction model is developed using convolutional neural network (CNN) which is machine learning technique. Moreover, using Hyper Spectral Imaging (HSI) technique early disease or even asymptomatic diseases can be detected. Based on the real-time leaf photos that are gathered, a K-mean clustering process is also utilized to detect disease.