ITD-YOLO: An Improved YOLO Model for Impurities in Premium Green Tea Detection

ITD-YOLO: An Improved YOLO Model for Impurities in Premium Green Tea Detection

During the harvesting and preparation of tea, it is common for tea to become mixed with some impurities. Eliminating these impurities is essential to improve the quality of famous green tea. At present, this sorting procedure heavily depends on manual efforts, which include high labor intensity, low...

Full description

Saved in:
Bibliographic Details
Main Authors: Zezhong Ding, Yanfang Li, Bin Hu, Zhiwei Chen, Houzhen Jia, Yali Shi, Xingmin Zhang, Xuesong Zhu, Wenjie Feng, Chunwang Dong
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Foods
Subjects:
tea
impurity identification
deep learning
Focaler_mpdiou
model pruning
knowledge distillation
Online Access:https://www.mdpi.com/2304-8158/14/9/1554
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2304-8158/14/9/1554

Similar Items