Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model
Rapid and accurate detection of the maturity state of litchi fruits is crucial for orchard management and picking period prediction. However, existing studies are largely limited to the binary classification of immature and mature fruits, lacking dynamic evaluation and precise prediction of maturity...
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| Main Authors: | Changjiang Liang, Dandan Liu, Weiyi Ge, Wenzhong Huang, Yubin Lan, Yongbing Long |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1568237/full |
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