GitHub repository: khyati2010421/Agrisync-Crop-Yield-Prediction
Description: A machine learning model that can predict crop yield and market demand would use historical data on weather, soil fertility, humidity, temperature, pH, and nutrient content. Data from weather stations, soil sensors, and market reports would be gathered, cleaned, preprocessed, and split into training and testing sets. Various machine learning algori