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Estimation of sorghum seedling number from drone image based on support vector machine and YOLO algorithms
Accurately counting the number of sorghum seedlings from images captured by unmanned aerial vehicles (UAV) is useful for identifying sorghum varieties with high seedling emergence rates in breeding programs. The traditional method is manual counting, which is time-consuming and laborious. Recently,...
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| Опубліковано в: : | Frontiers in Plant Science |
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| Автори: | , , , , , , , , |
| Формат: | Стаття |
| Опубліковано: |
Frontiers Media S.A.
2024-09-01
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| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1399872/full |
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