Smart Farming System for Price Prediction and Resource Optimization Using Machine Learning

India's agriculture faces challenges like fluctuating crop prices, unpredictable weather, and limited resources, affecting farmers' productivity and income. To address this, our smart farming system uses machine learning algorithms like Decision Tree, Random Forest, and K-Nearest Neighbors to predict crop prices and optimize resource usage. It also offers weather predictions, crop recommendations, and fertilizer suggestions to help farmers plan activities effectively. Interactive land maps assist in identifying optimal farming locations, enhancing resource management. Additionally, a chatbot provides real-time advice on crop selection, pest control, and market trends. This system empowers farmers with data-driven insights, boosting productivity and economic growth. Key Words: Ensembled Learning, Crop price prediction, Resource Optimization, Fertilizer Recommendation.