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

AuthID
P-00W-FS7
10
Author(s)
Pires, R
·
Panagopoulos, T
·
Brázio, A
·
Afonso, AM
·
Silva, L
·
Lucas, MR
·
Document Type
Article
Year published
2022
Published
in Comput. Electron. Agric., ISSN: 0168-1699
Volume: 197, Pages: 106945
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Publication Identifiers
Dblp: journals/cea/MartinsGPAPBASL22
Scopus: 2-s2.0-85128737131
Source Identifiers
ISSN: 0168-1699
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