SPECTRANET-53: A Deep Residual Learning Architecture for Predicting Soluble Solids Content with Vis-Nir Spectroscopy

AuthID
P-00X-X9S
10
Author(s)
Pires, R
·
Brazio, A
·
Afonso, AM
·
Silva, L
·
Lucas, MR
·
Tipo de Documento
Article
Year published
2022
Publicado
in COMPUTERS AND ELECTRONICS IN AGRICULTURE, ISSN: 0168-1699
Volume: 197
Indexing
Publication Identifiers
Wos: WOS:000798158800001
Source Identifiers
ISSN: 0168-1699
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