Dasom Seo

National Institute of Agricultural Science and Technology, Jeonbuk National University

Papers

Total Citations

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About

Dasom Seo is a leading researcher in agricultural robotics and precision farming, with a focus on developing intelligent systems for crop monitoring and autonomous field operations. Her work integrates deep learning and computer vision to solve critical challenges in modern agriculture, from greenhouse management to robotic harvesting. Her most-cited paper, "Development of Monitoring Robot System for Tomato Fruits in Hydroponic Greenhouses" (2021, 71 citations), established a foundational framework for automated crop inspection, demonstrating how deep learning algorithms can enhance the efficiency of planting, spraying, and harvesting tasks. Seo further advanced the field with "Gripping Success Metric for Robotic Fruit Harvesting" (2024, 6 citations), introducing a novel evaluation method that improves the reliability of fruit detection and grasping in harvesting robots. Her earlier work, "Tillage boundary detection based on RGB imagery classification for an autonomous tractor" (2020, 5 citations), pioneered a deep learning approach for autonomous tillage, enabling tractors to navigate and operate without human intervention. Through these contributions, Seo has significantly impacted the development of smarter, more autonomous agricultural systems, helping to reduce labor demands and increase crop yield efficiency. Her research continues to inspire innovations in sustainable farming technology.