Machine Learning Methods for Automatic Segmentation of Images of Field- and Glasshouse-Based Plants for High-Throughput Phenotyping

Image segmentation is a fundamental but critical step for achieving automated high- throughput phenotyping. While conventional segmentation methods perform well in homogenous environments, the performance decreases when used in more complex environments. This study aimed to develop a fast and robust...

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Detalles Bibliográficos
Autores principales: Okyere, Frank Gyan, Cudjoe, Daniel, Sadeghi-Tehran, Pouria, Virlet, Nicolas, Riche, Andrew B., Castle, March, Greche, Latifa, Mohareb, Fady, Simms, Daniel, Mhada, Manal, Hawkesford, Malcolm John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224253/
https://www.ncbi.nlm.nih.gov/pubmed/37653952
http://dx.doi.org/10.3390/plants12102035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224253/
https://www.ncbi.nlm.nih.gov/pubmed/37653952
http://dx.doi.org/10.3390/plants12102035

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