Teng Teeh Lim

Papers

Total Citations

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About

Dr. Teng Teeh Lim is a leading researcher in precision livestock farming, with a focus on automated monitoring systems for swine reproduction. His work integrates robotics, computer vision, and deep learning to solve critical challenges in sow management. Dr. Lim’s most-cited paper, "Posture identification for stall-housed sows around estrus using a robotic imaging system" (2023, 7 citations), pioneered the use of robotic cameras to track behavioral changes associated with estrus. He further advanced the field with "Automated oestrous detection in sows using a robotic imaging system" (2024, 5 citations), which replaces the labor-intensive back-pressure test with a fully automated, non-invasive method. Most recently, his team developed "A Sow Vulva Volume Estimation Pipeline Based on LiDAR Imagery and Deep Learning" (2024, 2 citations), an AI-enabled pipeline that quantifies vulvar swelling—a key biological sign of estrus—using 3D imaging. By automating detection of both behavioral and physiological indicators, Dr. Lim’s work significantly improves conception rates while reducing labor demands. His contributions are vital for modernizing swine reproduction management and advancing animal welfare through precision technology.