Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq Article

Khosravi, Khabat, Daggupati, Prasad, Alami, Mohammad Taghi et al. (2019). Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq . 167 10.1016/j.compag.2019.105041

International Collaboration

cited authors

  • Khosravi, Khabat; Daggupati, Prasad; Alami, Mohammad Taghi; Awadh, Salih Muhammad; Ghareb, Mazen Ismaeel; Panahi, Mehdi; Binh, Thai Pham; Rezaie, Fatemeh; Qi, Chongchong; Yaseen, Zaher Mundher

sustainable development goals

authors

publication date

  • December 1, 2019

keywords

  • ANFIS
  • ARTIFICIAL NEURAL-NETWORK
  • Agriculture
  • Agriculture, Multidisciplinary
  • Arid and semi-arid climatic
  • Bio-inspired ANFIS model
  • CLASSIFICATION
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Data mining
  • Evaporation rate prediction
  • FUZZY INFERENCE SYSTEM
  • Iraq region
  • LIDAR DATA
  • Life Sciences & Biomedicine
  • OPTIMIZATION ALGORITHMS
  • PAN EVAPORATION
  • SPATIAL PREDICTION
  • Science & Technology
  • TREE
  • Technology
  • WATER

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCI LTD

volume

  • 167