SUN CHENG-XIU
Papers
1
Total Citations
15
H-Index
1
About
Sun Cheng-Xiu is a leading researcher in agricultural automation and computer vision, with a focus on intelligent plant factory systems. Their most-cited work, "A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories" (2023, 15 citations), addresses a critical bottleneck in precision agriculture: enabling machines to accurately detect and localize tomato fruits under the challenging, non-uniform lighting conditions typical of controlled-environment facilities. By curating and releasing this specialized image dataset, Sun has provided a foundational resource for training deep learning models tailored to plant factory settings—an essential step toward fully automated harvesting and yield monitoring. This contribution bridges the gap between controlled-environment horticulture and practical robotic vision, directly supporting the economic viability of high-value crops like tomatoes. Sun’s work is particularly notable for its applied impact, offering a reproducible benchmark that accelerates research in agricultural robotics. As plant factories expand globally, Sun Cheng-Xiu’s dataset and methodology are becoming key tools for researchers and engineers seeking to integrate AI into sustainable, high-efficiency food production systems.
Research Focus
Key Achievements
Top Papers
- 1