2 papers
cs.RO2025
CA-Cut: Crop-Aligned Cutout for Data Augmentation to Learn More Robust Under-Canopy Navigation
Robel Mamo, Taeyeong Choi
State-of-the-art visual under-canopy navigation methods are designed with deep learning-based perception models to distinguish traversable space from crop rows. While these models…
cs.AI2025
Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities
Yongshuai Liu, Taeyeong Choi, Xin Liu
Machine learning has been successful in building control policies to drive a complex system to desired states in various applications (e.g. games, robotics, etc.). To be specific,…