Chengmao Cao

Papers

Total Citations

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About

Dr. Chengmao Cao is a leading innovator in agricultural robotics, specializing in the integration of deep learning and precision mechatronics for intelligent farming. His research focuses on developing autonomous systems for crop-specific tasks, including selective harvesting and targeted weeding, with a strong emphasis on reducing chemical usage. His most impactful work, "Design and operation of a deep-learning-based fresh tea-leaf sorting robot" (2023), has garnered 39 citations, establishing a new paradigm for post-harvest processing in the tea industry. Dr. Cao further advanced the field with his design of a Peucedani Radix weeding device, which employs YOLOV5 and a parallel manipulator to achieve precision seedling avoidance and targeted herbicide spraying, minimizing environmental harm while protecting valuable Chinese medicinal herbs. This work, cited 5 times, demonstrates his commitment to sustainable agriculture. By fusing computer vision with robotic manipulation, Dr. Cao’s contributions are directly shaping the future of automated, eco-friendly farming, offering scalable solutions that enhance both productivity and environmental stewardship.