Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments

İrik H. A., Ropelewska E., Çetin N.

COMPUTERS AND ELECTRONICS IN AGRICULTURE AN INTERNATIONAL JOURNAL, cilt.221, ss.1-16, 2024 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 221
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/j.compag.2024.109019
  • Dergi Adı: COMPUTERS AND ELECTRONICS IN AGRICULTURE AN INTERNATIONAL JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, BIOSIS, CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Food Science & Technology Abstracts, INSPEC, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-16
  • Erciyes Üniversitesi Adresli: Evet