Synthetic Data-Driven Methods to Accelerate the Deployment of Deep Learning Models: A Case Study on Pest and Disease Detection in Precision Viticulture

AuthID
 P-019-TW8
6
Author(s)
Chojka, A
·
Pascoal, D
·
Silva, N
·
Morais, R
·
Tipo de Documento
Article
Year published
2025
Publicado
in COMPUTERS, ISSN: 2073-431X
Volume: 14, Número: 8, Páginas: 327 (25)
Indexing
Wos®
Scopus®
Crossref®
Unpaywall®
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-105014387720
Unpaywall: 10.3390/computers14080327
Wos: WOS:001557326900001
Source Identifiers
ISSN: 2073-431X
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