Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models Article

Khosravi, Khabat, Golkarian, Ali, Barzegar, Rahim et al. (2023). Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models . 33(3), 479-495. 10.1016/j.pedsph.2022.06.056

International Collaboration

cited authors

  • Khosravi, Khabat; Golkarian, Ali; Barzegar, Rahim; Aalami, Mohammad T; Heddam, Salim; Omidvar, Ebrahim; Keesstra, Saskia D; Lopez-Vicente, Manuel

sustainable development goals

authors

publication date

  • June 1, 2023

keywords

  • ARTIFICIAL NEURAL-NETWORK
  • Agriculture
  • CLASSIFICATION
  • DATA MINING MODELS
  • ENSEMBLE
  • FOREST
  • HEAT
  • Life Sciences & Biomedicine
  • PERFORMANCE
  • PREDICTION
  • REGRESSION
  • Science & Technology
  • Soil Science
  • TREES
  • bootstrap aggregating algorithm
  • data mining
  • disjoint aggregating algorithm
  • ensemble modeling
  • hybrid model

Digital Object Identifier (DOI)

publisher

  • SCIENCE PRESS

start page

  • 479

end page

  • 495

volume

  • 33

issue

  • 3