Data Science Project · MISTI GTL AI Uruguay 2026

Agro-Food CO₂ Emissions – Country Forecast Dashboard

Projection of emissions to 2030 based on an ElasticNet model (R² = 0.993) trained on FAO agro-food data for 23 IDB member countries. Select a country to explore its predicted trajectory and main emission driver.

Projected emissions 2030
2.60 M kt
Regional total · ElasticNet scenario
Feature importance · RandomForest
Main driver: total_emission_lag1 (72% importance)
Regional Emissions Evolution
Historical (solid) · Forecast 2021–2030 (dashed) · kt CO₂e
Predicted 2030 Emissions by Country
Sorted highest to lowest · kt CO₂e (log scale for readability)
Dataset: Agrofood_co2_emission.csv (FAO / Kaggle, 1990–2020)  ·  Model: ElasticNet α=0.01, R²=0.993 (test 2016–2020) Aranda, A. · Biardo, Y. · Martinez, H.  |  MISTI GTL AI Uruguay 2026