Jiachao Zhou

Guangxi University of Science and Technology

Papers

Total Citations

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About

Jiachao Zhou is a leading researcher in agricultural robotics and computer vision, with a focus on developing intelligent systems for precision farming. His work centers on two key areas: lightweight object detection for robotic harvesting and advanced segmentation techniques for orchard management. Zhou’s major contributions include the creation of MYOLO, a novel detection model based on YOLOv3 that enables rapid and accurate identification of fresh shiitake mushrooms under challenging conditions—such as complex growing environments, diverse morphologies, and dense shading—directly supporting the automation of harvesting robots. This work has garnered 35 citations since 2023, reflecting its impact on the field. Additionally, Zhou pioneered a citrus tree crown segmentation method using RGB-D images and an improved Mask R-CNN, achieving 20 citations since 2022. This innovation allows orchard spraying robots to adapt their operations based on variable growth stages, overcoming obstacles like complex backgrounds and irregular tree structures. Zhou’s research is notable for its practical applications in modern agriculture, bridging the gap between deep learning and real-world robotic systems to enhance efficiency and productivity in fruit and vegetable production.