Precision Agriculture

This portfolio features a collection of applied AI projects aimed at improving agricultural decision-making. By combining UAV and satellite imagery, thermal and multispectral sensing, weather patterns, and soil data, these efforts support more accurate yield forecasts, crop development tracking, and field health monitoring. Each project demonstrates how integrating data and machine learning can help farmers better manage their fields, reduce risks, and plan operations more effectively across different crops and regions.