Jiewen Zhao

Papers

Total Citations

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About

Jiewen Zhao is a researcher at the forefront of agricultural robotics and computer vision technology, with a focused expertise in applying 3D imaging to precision farming. His most cited work, "A Vision System Based on TOF 3D Imaging Technology Applied to Robotic Citrus Harvesting" (2015), introduced a fast machine vision system using time-of-flight sensors for automatic citrus recognition and location. This foundational study developed adaptive algorithms for real-time image acquisition and processing, directly addressing the challenge of efficient robotic fruit harvesting. Though early in his citation impact, with 3 citations for this paper, Zhao’s contributions are notable for bridging 3D imaging and agricultural automation. His subsequent work, "Computer Vision Technology in Food" (2021), extends his expertise into food quality assessment, demonstrating a versatile application of vision systems. Zhao’s research is particularly valuable for students and engineers interested in the intersection of robotics, sensor technology, and sustainable agriculture, offering practical solutions for automating labor-intensive tasks in food production.