Automated Counting of Rice Panicle by Applying Deep Learning Model to Images from Unmanned Aerial Vehicle Platform

The number of panicles per unit area is a common indicator of rice yield and is of great significance to yield estimation, breeding, and phenotype analysis. Traditional counting methods have various drawbacks, such as long delay times and high subjectivity, and they are easily perturbed by noise. To...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Chengquan, Ye, Hongbao, Hu, Jun, Shi, Xiaoyan, Hua, Shan, Yue, Jibo, Xu, Zhifu, Yang, Guijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679257/
https://www.ncbi.nlm.nih.gov/pubmed/31337086
http://dx.doi.org/10.3390/s19143106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679257/
https://www.ncbi.nlm.nih.gov/pubmed/31337086
http://dx.doi.org/10.3390/s19143106

Ejemplares similares