Papers
8
Total Citations
1,084
H-Index
7
About
Jeongeun Kim is a leading researcher at the intersection of agricultural robotics, autonomous systems, and smart farming technologies. Her work addresses one of the most pressing challenges in modern agriculture: automating labor-intensive tasks through intelligent robotic systems and unmanned aerial vehicles. Kim's highly cited 2019 review on UAVs in agriculture, which has garnered over 590 citations, established her as a key voice in precision agriculture, synthesizing how drones integrate artificial intelligence, IoT, and big data into farming workflows. Her 2021 contribution on tomato harvesting robots (145 citations) demonstrated practical advances in 3D perception and robotic manipulation for fruit harvesting — a notoriously difficult challenge in agricultural automation. Kim has also made significant contributions to multi-robot coordination, developing innovative Voronoi diagram-based workspace partitioning strategies for orchard and seeding applications, enabling efficient cooperation among heterogeneous robot teams. Her research on path-planning algorithms for autonomous farm vehicles and deep learning-based intelligent spraying systems further reflects her commitment to translating theoretical advances into real-world agricultural deployments. With a body of work spanning UAVs, harvesting robots, and multi-robot systems, Kim's research is actively shaping the future of sustainable, technology-driven food production.
Research Focus
Key Achievements
Top Papers
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- 3A review on multirobot systems in agriculture118 citations · 2022
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