Article’s

Agriculture is one of the most important sectors, and selecting the right crop plays a major role in improving farmers’ productivity and income. This paper presents an AI-based intelligent crop selection system that combines environmental conditions and market analysis to recommend suitable and profitable crops. The proposed system considers important environmental factors such as soil nutrients (Nitrogen, Phosphorus, and Potassium), soil pH, temperature, humidity, and rainfall. It also analyzes market factors such as crop demand, market prices, price trends, and estimated profitability. Machine learning algorithms, including Random Forest, XGBoost, Support Vector Machine (SVM), and Artificial Neural Network (ANN), are explored to improve crop recommendation. By combining environmental suitability with market conditions, the system helps farmers make informed decisions about crop selection, increase potential profits, and support sustainable agricultural practices.