Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging

Rice lodging severely affects harvest yield. Traditional evaluation methods and manual on-site measurement are found to be time-consuming, labor-intensive, and cost-intensive. In this study, a new method for rice lodging assessment based on a deep learning UNet (U-shaped Network) architecture was pr...

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Detalles Bibliográficos
Autores principales: Zhao, Xin, Yuan, Yitong, Song, Mengdie, Ding, Yang, Lin, Fenfang, Liang, Dong, Zhang, Dongyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766838/
https://www.ncbi.nlm.nih.gov/pubmed/31500150
http://dx.doi.org/10.3390/s19183859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766838/
https://www.ncbi.nlm.nih.gov/pubmed/31500150
http://dx.doi.org/10.3390/s19183859

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