Predicting Predawn Leaf Water Potential up to Seven Days Using Machine Learning

AuthID
P-00V-CMQ
4
Author(s)
Vasconcelos, F
·
5
Editor(es)
Marreiros,G;Melo,FS;Lau,N;Cardoso,HL;Reis,LP
Tipo de Documento
Proceedings Paper
Year published
2021
Publicado
in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021) in Lecture Notes in Artificial Intelligence, ISSN: 2945-9133
Volume: 12981, Páginas: 39-50 (12)
Conference
20Th Epia Conference on Artificial Intelligence (Epia), Date: SEP 07-09, 2021, Location: ELECTR NETWORK, Patrocinadores: EPIA
Indexing
Publication Identifiers
DBLP: conf/epia/FaresVMF21
SCOPUS: 2-s2.0-85115445367
Wos: WOS:000773030600004
Source Identifiers
ISSN: 2945-9133
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