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TITLE: Deep learning based approach for actinidia flower detection and gender assessment  Full Text
AUTHORS: Pinheiro, Isabel; Moreira, Germano; Magalhaes, Sandro; Valente, Antonio; Cunha, Mario ; dos Santos, Filipe Neves ;
PUBLISHED: 2024, SOURCE: SCIENTIFIC REPORTS, VOLUME: 14, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef Unpaywall
IN MY: ORCID