Deep learning in flower quantification of Catharanthus roseus (L.) G. Don

Deep learning techniques are increasingly automating tasks performed manually, thanks to the robustness and precision of their results, which encourages their use as a tool in the floriculture and landscaping sector. The amount of floristic species is wide and diverse, whether in shape, texture or...

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Autors principals:	Carmélia Maia Silva, Alcinei Mí­stico Azevedo, Leonardo Amaral Mozelli, Elka Fabiana Aparecida Almeida, Delacyr da Silva Brandão Junior
Format:	Artigo
Idioma:	Português
Publicat:	Universidade Estadual de Maringá 2025-03-01
Col·lecció:	Acta Scientiarum: Technology
Matèries:	Image analysis; floriculture; landscaping; mask R-CNN; convolutional neural networks.
Accés en línia:	https://periodicos.uem.br/actascitechnol/index.php/ActaSciTechnol/article/view/66787
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