AGRI FARM: CROP AND FERTILIZER RECOMMENDATION SYSTEM FOR HIGH YIELD FARMING USING MACHINE LEARNING ALGORITHMS

Farmers have had a tough time selecting the correct crop for the correct season in recent years due to quick and abrupt changes in weather conditions. They eventually cannot produce enough to feed their family, forcing them to make decisions such as committing suicide. A crop and fertilizer recommendation system solves this problem by assessing several characteristics in the soil, such as nitrogen, phosphorus, and potassium levels, as well as temperature, humidity, pH, and rainfall, and predicting the best crop for a specific field It can also predict the most suitable fertilizer if the soil nutrients are low for a specific crop based on the above parameters and also soil type, moisture content in soil. Machine learning algorithms such as K-Nearest Neighbor (KNN), Random Forest (RF), Naive Bayes and Decision Tree are employed for the crop prediction.