EDSC-HRAFNet: An apple tree branch semantic segmentation model for harvesting robots under complex orchard conditions
Accurate semantic understanding of tree branches is critical for orchard harvesting robots in automated fruit harvesting and pruning. Existing methods suffer from low detection accuracy and limited adaptability in complex orchard environments. This paper proposes a novel apple tree branch semantic s...
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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
KeAi Communications Co., Ltd.
2026-06-01
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| Серии: | Artificial Intelligence in Agriculture |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2589721726000061 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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