Kunqi Yang
Papers
1
Total Citations
1
H-Index
1
About
Dr. Kunqi Yang is a researcher at the forefront of agricultural robotics and computer vision, with a primary focus on developing lightweight, high-speed object detection algorithms for precision agriculture. His most notable contribution is the design of an improved lightweight Faster R-CNN architecture based on MobileNetV3, specifically tailored for detecting pitaya (dragon fruit) in densely planted orchards. This work directly addresses the critical challenge of balancing model size and detection speed for real-time robotic fruit picking. By significantly reducing computational overhead while maintaining high accuracy, Yang’s algorithm enables practical deployment on resource-constrained robotic platforms. Although his most cited paper currently holds 1 citation, its recent publication in 2025 signals a promising trajectory for impact in the field. Yang’s research is pivotal for advancing automated harvesting systems, offering a scalable solution that can be adapted to other fruit crops. His work exemplifies the integration of deep learning and agricultural engineering, making him a key contributor to the future of smart farming and sustainable food production.
Research Focus
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Top Papers
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