Huixing Qu

Papers

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About

Dr. Huixing Qu is a leading researcher in agricultural robotics and computer vision, whose work focuses on enhancing precision fruit recognition for automated harvesting systems. His most notable contribution is the development of an improved apple fruit target recognition method based on the YOLOv7 model, published in 2023 and garnering 55 citations. This study directly tackles critical challenges in orchard environments—such as high fruit density, occlusion, and overlapping—by introducing a novel preprocessing algorithm for split images with overlapping regions. By significantly boosting detection accuracy under complex field conditions, Dr. Qu’s work advances the practical deployment of deep learning in agriculture, enabling more reliable and efficient robotic fruit picking. His research bridges the gap between state-of-the-art object detection models and real-world agricultural applications, offering scalable solutions for yield estimation and automated harvesting. With a growing citation impact, Dr. Qu is recognized for driving innovation in smart farming, making his contributions essential reading for researchers and engineers working at the intersection of artificial intelligence and sustainable agriculture.