Recognition and Positioning of Fresh Tea Buds Using YOLOv4-lighted + ICBAM Model and RGB-D Sensing

Recognition and Positioning of Fresh Tea Buds Using YOLOv4-lighted + ICBAM Model and RGB-D Sensing

To overcome the low recognition accuracy, slow speed, and difficulty in locating the picking points of tea buds, this paper is concerned with the development of a deep learning method, based on the You Only Look Once Version 4 (YOLOv4) object detection algorithm, for the detection of tea buds and th...

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Bibliographic Details
Main Authors: Shudan Guo, Seung-Chul Yoon, Lei Li, Wei Wang, Hong Zhuang, Chaojie Wei, Yang Liu, Yuwen Li
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Agriculture
Subjects:
tea buds
YOLOv4
attention mechanism
intelligent recognition
depth filter
picking point
Online Access:https://www.mdpi.com/2077-0472/13/3/518

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