Novel and Automatic Rice Thickness Extraction Based on Photogrammetry Using Rice Edge Features

The dimensions of phenotyping parameters such as the thickness of rice play an important role in rice quality assessment and phenotyping research. The objective of this study was to propose an automatic method for extracting rice thickness. This method was based on the principle of binocular stereov...

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Detalles Bibliográficos
Autores principales: Kong, Yuchen, Fang, Shenghui, Wu, Xianting, Gong, Yan, Zhu, Renshan, Liu, Jian, Peng, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960983/
https://www.ncbi.nlm.nih.gov/pubmed/31888287
http://dx.doi.org/10.3390/s19245561

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960983/
https://www.ncbi.nlm.nih.gov/pubmed/31888287
http://dx.doi.org/10.3390/s19245561

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