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

Domaine:

environment and energyclimateagriculture

Type de record:

softwaremodel
Créateur:
Phi
Éditeur:
Zenodo
Hôte:avatar

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

  1. Random Forest Model (random_forest_n2o_model.py)
  2. Artificial Neural Network Model (artificial_neural_network_n2o_model.py)
  3. XGBoost Model (xgboost_n2o_model.py)

Visit

doi.org

Licenses

info:eu-repo/semantics/openAccessMIT Licensehttps://opensource.org/licenses/MIT

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