1 citations · 4 across the 4 of their papers we have counts for
4 papers
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
Jiajia Li, Kyle Lammers, Xunyuan Yin +4
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-ba…
High-Precision Fruit Localization Using Active Laser-Camera Scanning: Robust Laser Line Extraction for 2D-3D Transformation
Pengyu Chu, Zhaojian Li, Kaixiang Zhang +2
Recent advancements in deep learning-based approaches have led to remarkable progress in fruit detection, enabling robust fruit identification in complex environments. However, muc…
Active Laser-Camera Scanning for High-Precision Fruit Localization in Robotic Harvesting: System Design and Calibration
Kaixiang Zhang, Pengyu Chu, Kyle Lammers +2
Robust and effective fruit detection and localization is essential for robotic harvesting systems. While extensive research efforts have been devoted to improving fruit detection,…
O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments
Pengyu Chu, Zhaojian Li, Kaixiang Zhang +3
Automated apple harvesting has attracted significant research interest in recent years due to its potential to revolutionize the apple industry, addressing the issues of shortage a…