Deep Tutti Frutti: Exploring Cnn Architectures for Dry Matter Prediction in Fruit from Multi-Fruit Near-Infrared Spectra

AuthID
 P-00Z-C1K
2
Author(s)
Mishra, P
Document Type
Article
Year published
2023
Published
in CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, ISSN: 0169-7439
Volume: 243, Pages: 105023 (10)
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Wos®
Scopus®
Crossref®4
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85176113203
Wos: WOS:001114864300001
Source Identifiers
ISSN: 0169-7439
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