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TasselNetV2+: A Fast Implementation for High-Throughput Plant Counting From High-Resolution RGB Imagery
Plant counting runs through almost every stage of agricultural production from seed breeding, germination, cultivation, fertilization, pollination to yield estimation, and harvesting. With the prevalence of digital cameras, graphics processing units and deep learning-based computer vision technology...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750361/ https://www.ncbi.nlm.nih.gov/pubmed/33365037 http://dx.doi.org/10.3389/fpls.2020.541960 |