Machine Learning Based Crop Recommendation Model in Precision Agriculture

India's expanding population demands more food made from plants. One option put up is precision agriculture (PA), which maximizes farming via the use of technology and data-driven methods. Offering a variety of crops all year round, helping farmers choose their crops, and optimizing productivity are all highlighted in the report. PA provides real-time field data and crop health using sensors, GPS, and digital tools. The study for crop selection suggests a hybrid model that combines Random Forest and Decision Tree classifiers to improve accuracy and strike a balance between precision and recall. Subsequent investigations will encompass field validations, sophisticated en-semble techniques, and real-time data integration. The study offers crucial information for making decisions on sustainable agriculture that are in line to increase food production worldwide.