pzywczuk/n2o-ssa-models: Nitrous oxide emissions across Sub-Saharan Africa: meta-analysis and data-driven modelling

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Authors: Phillip Agredazywczuk
Cited by: 1

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