Identifying of Quercus vulcanica and Q. frainetto growing in different environments through deep learning analysis.

Isik, Ali Hakan; Yücedag, Cengiz; Eskicioglu, Ömer Can; Gailing, Oliver

Isik, Ali Hakan; Yücedag, Cengiz; Eskicioglu, Ömer Can; Gailing, Oliver.

Afiliação

Isik AH; Department of Computer Engineering, Faculty of Engineering and Architecture, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
Yücedag C; Department of Landscape Architecture, Faculty of Engineering and Architecture, Burdur Mehmet Akif Ersoy University, Burdur, Turkey. yucedagc@gmail.com.
Eskicioglu ÖC; The Graduate School of Natural and Applied Sciences, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
Gailing O; Department of Forest Genetics and Forest Tree Breeding, Faculty of Forest Sciences and Forest Ecology, University of Göttingen, Göttingen, Germany.

Environ Monit Assess ; 193(12): 768, 2021 Nov 04.

Article em En | MEDLINE | ID: mdl-34734324

Assuntos

Aprendizado Profundo; Quercus; Monitoramento Ambiental; Florestas; Árvores

Palavras-chave

Classification; Hungarian oak; Kasnak oak; Leaf morphology

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Quercus / Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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