CF-SAM: An Efficient and Precise SAM Model for Instance Segmentation of Cotton Top Leaves
The complexity of field environments poses significant challenges for the segmentation of cotton top leaves, a critical step for apical bud localization in intelligent topping systems. Conventional segmentation models typically rely on large annotated datasets and high computational costs to achieve...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-12-01
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| Serie: | Agronomy |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2073-4395/16/1/30 |
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