CICE-YOLO: An improved YOLO-based network for tomato ripeness detection in Greenhouse
Accurate and efficient tomato ripeness detection is essential for automated harvesting and yield estimation in greenhouse environments. However, this task remains challenging due to three main factors: complex illumination conditions in greenhouse scenarios lead to noticeable color variation, cluste...
Сохранить в:
| Главные авторы: | , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2026-08-01
|
| Серии: | Smart Agricultural Technology |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2772375526001978 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|