Segmentation and counting of wheat spike grains based on deep learning and textural feature

BACKGROUND: Grain count is crucial to wheat yield composition and estimating yield parameters. However, traditional manual counting methods are time-consuming and labor-intensive. This study developed an advanced deep learning technique for the segmentation counting model of wheat grains. This model...

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Detalles Bibliográficos
Autores principales: Xu, Xin, Geng, Qing, Gao, Feng, Xiong, Du, Qiao, Hongbo, Ma, Xinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394929/
https://www.ncbi.nlm.nih.gov/pubmed/37528413
http://dx.doi.org/10.1186/s13007-023-01062-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394929/
https://www.ncbi.nlm.nih.gov/pubmed/37528413
http://dx.doi.org/10.1186/s13007-023-01062-6

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