Papers
2
Total Citations
13
H-Index
2
About
Chen Ouyang is pioneering the intersection of precision agriculture and robotics, with a focused mission to combat crop disease through automation. His key research areas include modular robotics, greenhouse automation, and computer vision for agricultural monitoring. Ouyang’s major contribution lies in developing a novel, modular, and extendable mobile robot specifically designed for autonomous image data collection in greenhouses. This robot enables the early detection of diseases—such as those affecting tomatoes—by analyzing visual crop appearance, a task traditionally reliant on costly and inefficient human visual inspection. His most cited work, "Tomato Disease Monitoring System Using Modular Extendable Mobile Robot for Greenhouses" (2022, 10 citations), demonstrates a system that not only identifies diseased tomatoes but also automatically reports their precise locations, allowing for timely treatment to reduce yield losses. By replacing manual scouting with a scalable robotic solution, Ouyang’s research directly addresses labor shortages in agriculture and enhances food security. His work represents a significant step toward smart, data-driven farming, offering a practical tool for growers to manage crop health more effectively and sustainably.
Research Focus
Key Achievements
Top Papers
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