Sorghum Panicle Detection and Counting Using Unmanned Aerial System Images and Deep Learning

Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant phenotyping. In this study, we developed a sorghum panicle detection and counting pipeline using UAS im...

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Detalles Bibliográficos
Autores principales: Lin, Zhe, Guo, Wenxuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492560/
https://www.ncbi.nlm.nih.gov/pubmed/32983210
http://dx.doi.org/10.3389/fpls.2020.534853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492560/
https://www.ncbi.nlm.nih.gov/pubmed/32983210
http://dx.doi.org/10.3389/fpls.2020.534853

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