Predicting Crop Evapotranspiration Under Non-Standard Conditions Using Machine Learning Algorithms, a Case Study for Vitis Vinifera L. Cv Tempranillo

AuthID
 P-00Z-9ZG
4
Author(s)
Egipto, R
·
Aquino, A
·
Andújar, JM
Document Type
Article
Year published
2023
Published
in AGRONOMY-BASEL, ISSN: 2073-4395
Volume: 13, Issue: 10, Pages: 2463 (18)
Indexing
Wos®
Scopus®
Crossref®2
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85175372422
Wos: WOS:001099646700001
Source Identifiers
ISSN: 2073-4395
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