A quality grade classification method for fresh tea leaves based on an improved YOLOv8x-SPPCSPC-CBAM model
Abstract In light of the prevalent issues concerning the mechanical grading of fresh tea leaves, characterized by high damage rates and poor accuracy, as well as the limited grading precision through the integration of machine vision and machine learning (ML) algorithms, this study presents an innov...
| Автори: | , , , , , |
|---|---|
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Nature Portfolio
2024-02-01
|
| Серія: | Scientific Reports |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1038/s41598-024-54389-y |