Modelling carbon dioxide emissions under a maize-soy rotation using machine learning Article

Abbasi, Naeem A, Hamrani, Abderrachid, Madramootoo, Chandra A et al. (2021). Modelling carbon dioxide emissions under a maize-soy rotation using machine learning . 212 1-18. 10.1016/j.biosystemseng.2021.09.013

International Collaboration

cited authors

  • Abbasi, Naeem A; Hamrani, Abderrachid; Madramootoo, Chandra A; Zhang, Tiequan; Tan, Chin S; Goyal, Manish K

sustainable development goals

authors

publication date

  • December 1, 2021

keywords

  • Agricultural Engineering
  • Agricultural soils
  • Agriculture
  • Agriculture, Multidisciplinary
  • CO2
  • CO2 emissions
  • CORN PRODUCTION
  • Classic regression
  • DNDC
  • ENERGY-CONSUMPTION
  • FEEDFORWARD NEURAL-NETWORK
  • GREENHOUSE-GAS EMISSIONS
  • Life Sciences & Biomedicine
  • Machine learning algorithms
  • N2O
  • PREDICTION
  • SEQUESTRATION
  • SOIL-MOISTURE
  • Science & Technology
  • Shallow neural networks

Digital Object Identifier (DOI)

publisher

  • ACADEMIC PRESS INC ELSEVIER SCIENCE

start page

  • 1

end page

  • 18

volume

  • 212