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What is XGBoost Crop Recommendation System about?

The project report presents a machine learning-based crop recommendation system using XGBoost, aimed at assisting farmers in selecting suitable crops based on soil and climatic conditions. The system utilizes a balanced dataset of 2,200 samples, achieving high accuracy and reliability in predictions, while also emphasizing the importance of various soil nutrients and environmental factors. Future enhancements include integrating real-time data, fertilizer recommendations, and mobile application support to f

Author

parthtomar772

Language

EN