High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks

Rice density is closely related to yield estimation, growth diagnosis, cultivated area statistics, and management and damage evaluation. Currently, rice density estimation heavily relies on manual sampling and counting, which is inefficient and inaccurate. With the prevalence of digital imagery, com...

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Detalles Bibliográficos
Autores principales: Liu, Liang, Lu, Hao, Li, Yanan, Cao, Zhiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706318/
https://www.ncbi.nlm.nih.gov/pubmed/33313541
http://dx.doi.org/10.34133/2020/1375957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706318/
https://www.ncbi.nlm.nih.gov/pubmed/33313541
http://dx.doi.org/10.34133/2020/1375957

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