Predicting Crop Evapotranspiration under Non-Standard Conditions Using Machine Learning Algorithms, a Case Study for Vitis vinifera L. cv Tempranillo

  1. Egipto, R.
  2. Aquino, A.
  3. Costa, J.M.
  4. Andújar, J.M.
Zeitschrift:
Agronomy

ISSN: 2073-4395

Datum der Publikation: 2023

Ausgabe: 13

Nummer: 10

Art: Artikel

DOI: 10.3390/AGRONOMY13102463 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus