Outdoor Plant Segmentation With Deep Learning for High-Throughput Field Phenotyping on a Diverse Wheat Dataset

Robust and automated segmentation of leaves and other backgrounds is a core prerequisite of most approaches in high-throughput field phenotyping. So far, the possibilities of deep learning approaches for this purpose have not been explored adequately, partly due to a lack of publicly available, appr...

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Detalles Bibliográficos
Autores principales: Zenkl, Radek, Timofte, Radu, Kirchgessner, Norbert, Roth, Lukas, Hund, Andreas, Van Gool, Luc, Walter, Achim, Aasen, Helge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765702/
https://www.ncbi.nlm.nih.gov/pubmed/35058948
http://dx.doi.org/10.3389/fpls.2021.774068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8765702/
https://www.ncbi.nlm.nih.gov/pubmed/35058948
http://dx.doi.org/10.3389/fpls.2021.774068

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