A SMART FARMING: INTELLIGENT CROP MANAGEMENT THROUGH MACHINE LEARNING

Abstract

Farmers still encounter many threats resulting from shifting crop prices, climate change, and lack of real-time data, however, agriculture is still considered the backbone of the economy. This projector implements a machine learning based approach to help farmers predict crop prices, recommend plants, and make general farming decisions. To provide aid in anticipating future markets, the system employs decision tree regression and other ML algorithms with historical data, rainfall, and economic quotes. Other additional features include weather predictions, fertilizer suggestions, and easy access features. The model's goal is to aid in reducing economic uncertainty for farmers, fostering good agricultural practices, and increasing return on investment. It combines AI-based information to help modernize agriculture making it more productive and robust.