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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| 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 |