Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered

Developing automated soybean seed counting tools will help automate yield prediction before harvesting and improving selection efficiency in breeding programs. An integrated approach for counting and localization is ideal for subsequent analysis. The traditional method of object counting is labor-in...

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Detalles Bibliográficos
Autores principales: Zhao, Jiangsan, Kaga, Akito, Yamada, Tetsuya, Komatsu, Kunihiko, Hirata, Kaori, Kikuchi, Akio, Hirafuji, Masayuki, Ninomiya, Seishi, Guo, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019992/
https://www.ncbi.nlm.nih.gov/pubmed/36939414
http://dx.doi.org/10.34133/plantphenomics.0026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019992/
https://www.ncbi.nlm.nih.gov/pubmed/36939414
http://dx.doi.org/10.34133/plantphenomics.0026

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