Towards Data-driven Nitrogen Estimation in Wheat Fields using Multispectral Images

This research explores a data-driven approach for estimating nitrogen levels in wheat fields using multispectral images. This has direct real-world application in precision agriculture, enabling optimized fertilization, improved crop yields, and reduced environmental impact.