Machine learning for predicting greenhouse gas emissions from agricultural soils Article

Hamrani, Abderrachid, Akbarzadeh, Abdolhamid, Madramootoo, Chandra A. (2020). Machine learning for predicting greenhouse gas emissions from agricultural soils . SCIENCE OF THE TOTAL ENVIRONMENT, 741 10.1016/j.scitotenv.2020.140338

cited authors

  • Hamrani, Abderrachid; Akbarzadeh, Abdolhamid; Madramootoo, Chandra A

sustainable development goals

authors

publication date

  • November 1, 2020

webpage

published in

keywords

  • AGRONOMIC ASSESSMENT
  • Agricultural soil
  • CLIMATE
  • Classical regression
  • DEEP
  • Deep learning
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • Greenhouse gas emissions
  • Life Sciences & Biomedicine
  • MODEL
  • Machine learning
  • N2O EMISSIONS
  • NITROUS-OXIDE
  • NONLINEAR RESPONSE
  • PERFORMANCE
  • RANDOM FOREST
  • REGRESSION SHRINKAGE
  • Science & Technology
  • Shallow learning

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

volume

  • 741