Smart Crop Advisor - Intelligent Crop and Fertilizer Recommendations with Crop Yield Prediction Using ML Algorithms

In India, the economy relies on the agriculture, which creates jobs for a sizable section of the labor force and contributes significantly to GDP. The agricultural industry is crucial, but it faces challenges exacerbated by a lack of knowledge about which crops should be planted where due to the unpredictable changes in climate that impact food supply and livelihood. Due to the changes in the climatic conditions, farmers should select the best crop to grow for maximum yield. Even if they select the best crop, they are not aware of the fertilizers to be used based on the soil characteristics of their land. Farmers are not aware of the yield they are going to get if they grow a particular crop based on the season and area. Therefore, we suggested a system using Random Forest, Decision Tree, Gradient Boosting Regressor, XGBooster, KNN and other simulated intelligence techniques and calculations. This helps the farmers in decision-making and increases the food production. In addition to recommending crops that can flourish in variable environmental conditions to maximize yield, this approach assists in the prediction of agricultural yields as well as recommends the fertilizers to get more yield.