Jeonghyun Baek

National Institute of Agricultural Science and Technology, Hankyong National University

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About

Jeonghyun Baek is a researcher at the intersection of precision agriculture and intelligent robotics, with a core focus on applying computer vision and artificial intelligence to solve real-world problems. Her most impactful contribution is the development of an AI-driven approach for tomato detection and mass estimation, a key innovation for yield monitoring in precision agriculture. This work, published in 2020, has garnered 82 citations, reflecting its significance in the field. By integrating image processing with an understanding of physical crop properties, Baek’s research enables more accurate, automated quantification of harvest mass, directly addressing labor and productivity challenges in smart farming. Beyond agriculture, Baek has contributed to human-robot interaction through part-based hand detection using HOG features, a technique designed to improve gesture recognition under complex backgrounds and lighting. Her more recent work explores low-power wide-area communication for multi-sensing technology in smart agriculture, aiming to bridge the gap between advanced ICT and practical farm deployment. Through these contributions, Baek demonstrates a clear commitment to creating robust, deployable solutions that merge sensing, AI, and communication technologies for smarter, more efficient agricultural systems.