Environmental Impact of Food Production

a comprehensive spatial data science analysis of global food production emissions
This project analyzes global food production emissions using spatial data science and machine learning techniques.

By integrating FAOSTAT production data (1961–2022) with environmental footprint datasets, this study identifies geographic emission hotspots, product-level environmental impacts, and country-level emission patterns.
more details on github..