Tender Tea Shoots Recognition and Positioning for Picking Robot Using Improved YOLO-V3 Model-Reference-Cited by-同舟云学术

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Tender Tea Shoots Recognition and Positioning for Picking Robot Using Improved YOLO-V3 Model

Published:2019 Issue: Volume:7 Page:180998-181011
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Hualin^ORCID,Chen Long^ORCID,Chen Miaoting^ORCID,Ma Zhibin^ORCID,Deng Fang^ORCID,Li Maozhen^ORCID,Li Xiangrong^ORCID

Funder

Natural Science Foundation of Shandong Province

Key Technology Research and Development Program of Shandong

Project of Shandong Province Higher Educational Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08931252.pdf?arnumber=8931252

Cited by 73 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a Premium Tea-Picking Robot Incorporating Deep Learning and Computer Vision for Leaf Detection;Applied Sciences;2024-07-01

2. An improved model based on YOLOX for detection of tea sprouts in natural environment;Evolving Systems;2024-05-08

3. Assisted Tea Leaf Picking: The Design and Simulation of a 6-DOF Stewart Parallel Lifting Platform;Agronomy;2024-04-18

4. Monitoring of key Camellia Oleifera phenology features using field cameras and deep learning;Computers and Electronics in Agriculture;2024-04

5. An RGB‐D object detection model with high‐generalization ability applied to tea harvesting robot for outdoor cross‐variety tea shoots detection;Journal of Field Robotics;2024-03-22

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