The document proposes a method for smart farming and crop yield prediction using machine learning algorithms like Support Vector Machine and Random Forest. Historical agricultural data on factors like moisture, rainfall, temperature and humidity is collected and analyzed to predict crop yields and whether conditions will be excellent, good, or poor. The goal is to help farmers increase profits by providing insights into how environmental conditions impact crops.