Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification

The automatic segmentation of ears in wheat canopy images is an important step to measure ear density or extract relevant plant traits separately for the different organs. Recent deep learning algorithms appear as promising tools to accurately detect ears in a wide diversity of conditions. However,...

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Detalles Bibliográficos
Autores principales: Carlier, Alexis, Dandrifosse, Sébastien, Dumont, Benjamin, Mercatoris, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817947/
https://www.ncbi.nlm.nih.gov/pubmed/35169713
http://dx.doi.org/10.34133/2022/9841985

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817947/
https://www.ncbi.nlm.nih.gov/pubmed/35169713
http://dx.doi.org/10.34133/2022/9841985

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