Design a Robot System for Tomato Picking Based on YOLO v5
Author:
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference10 articles.
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2. Liu, J., Li, P., & Li, Z. (2007). A Multi-Sensory End-Effector for Spherical Fruit Harvesting Robot. 2007 IEEE International Conference on Automation and Logistics, 258–262.
3. Yoshida, T., Fukao, T., & Hasegawa, T. (2019). A Tomato Recognition Method for Harvesting with Robots using Point Clouds. 2019 IEEE/SICE International Symposium on System Integration (SII), 456–461.
4. Fruit Detection and Pose Estimation for Grape Cluster–Harvesting Robot Using Binocular Imagery Based on Deep Neural Networks;Yin;Frontiers in Robotics and AI,2021
5. A mango picking vision algorithm on instance segmentation and key point detection from RGB images in an open orchard;Chan;Biosystems engineering,2021
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