pzywczuk/n2o-ssa-models: Nitrous oxide emissions across Sub-Saharan Africa: meta-analysis and data-driven modelling
Abstract
This repository contains three machine learning models for predicting N2O emissions from different land use types (Forest, Cropland, Grassland) using environmental and management variables. Models Included Random Forest Model (random_forest_n2o_model.py) Artificial Neural Network Model (artificial_neural_network_n2o_model.py) XGBoost Model (xgboost_n2o_model.py)
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 24 April 2026