Agriculture is very essential in a farmer's existence. Machine learning has the potential to revolutionize agriculture by altering the revenue situation by producing the optimal produce. This paper concentrates on forecasting crop yield by using different machine learning methods. Machine learning algorithm predictions will aiding producers in choosing which crop to grow to maximize output by taking into accountlike the climate, humidity, location, and so forth. This article discusses forecast of crop output using machine learning Approach and goes into depth about different approaches for disease detection and Classification.