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About

Liming Xu is a leading researcher in agricultural robotics and computer vision, specializing in automated fruit and vegetable harvesting systems. Their work focuses on overcoming the challenges of visual recognition in natural orchard environments, where uneven lighting, complex backgrounds, and occlusions hinder robotic picking. Xu's major contributions include developing novel identification methods for apple growth forms, enabling robots to distinguish between near-large fruits and those obscured by branches or overlapping foliage. Their 2022 paper on visual identification methods for apple growth forms has garnered 43 citations, while their 2019 work on obtaining near-large fruit images for single-arm harvesting robots has 37 citations. Xu also authored a comprehensive survey on recognizing fruits and vegetables with similar-color backgrounds, which has 30 citations and serves as a key reference for researchers tackling color-based segmentation issues. More recently, their 2023 paper on image rendering-based identification for apples with different growth forms (13 citations) advances the field further. Earlier work includes the design of an opening picking robot for eggplants (2009, 9 citations), demonstrating long-standing commitment to agricultural automation. Xu's research directly addresses critical bottlenecks in precision agriculture, making robotic harvesting more reliable and efficient.