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About

Liangju Wang is a pioneering researcher in agricultural robotics and precision farming, with a focus on autonomous navigation, machine vision, and robotic manipulation for specialty crops and livestock. Their work bridges the gap between field-level sensing and automated harvesting, notably through the development of a Cartesian robotic platform for in-field leaf-level hyperspectral imaging of corn plants (36 citations), which enables high-throughput phenotyping. Wang’s contributions to fruit robotics include a visual servoing-based localization system for strawberry harvesting robots (2015) and a novel elevated substrate culture strawberry picking robot (2012, 20 citations), advancing automated fruit detection and picking in complex environments. In animal husbandry, they have developed autonomous navigation systems using machine vision and self-designed fiducial markers (2024, 14 citations) and depth camera-based deep learning solutions (2025, 4 citations) for commercial chicken farming, as well as precision feeding and navigation for rabbit farming robots (2024, 11 citations; 2025, 5 citations). Their recent work on smart animal husbandry (2025) underscores a growing impact on sustainable, data-driven livestock management. With a portfolio spanning hyperspectral imaging, robotic navigation, and precision agriculture, Wang is shaping the future of automated farming systems.