Extracting leaf morphological traits within occluded lettuce canopies using instance segmentation and supervised conditional GAN

Precise measurement of leaf morphology in densely occluded canopies is critical for optimizing plant growth management and enhancing crop yield in agricultural systems. Leaf completion under occlusion is key to improving phenotypic measurement accuracy. Although RGB-based conditional generative adve...

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Detalhes bibliográficos

Principais autores:	Guankang Zhang, Wending Zhu, Shutao Ma, Canzeng Huang, Houcheng Liu, Song Gu, Wei Guo, Yi Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-12-01
Colecção:	Journal of Agriculture and Food Research
Assuntos:	Leaf morphology Supervised CGANs Occlusion analysis Instance segmentation Leaf completion Phenotyping
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666154325008890
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