Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibrationMendeley Data

Leaf dimensioning is relevant for analyzing plant responses to several conditions such as soil fertility, availability of light, agricultural pesticide effect, and access to water in the soil or periods of drought. In this paper, we present a dataset composed of 6981 images of 612 common bean leaves...

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Detaylı Bibliyografya
Asıl Yazarlar:	Karla Gabriele Florentino da Silva, Paulo Victor de Magalhães Rozatto, Kaio de Oliveira e Sousa, Lucas Dias Hudson, Artur Welerson Sott Meyer, Alemilson Fabiano Silva, Igor Tibiriçá Mendes, Alex Rodrigues Borges, Leandro Elias Morais, Luiz Maurílio da Silva Maciel, Saulo Moraes Villela, Helio Pedrini, Marcelo Bernardes Vieira
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Elsevier 2025-04-01
Seri Bilgileri:	Data in Brief
Konular:	Leaf measurement Deep learning Semantic segmentation Fiducial marker Area estimation
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S2352340925000605
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Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibrationMendeley Data

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