Lab of Artificial Intelligence and Big Data for Agriculture

Bridging AI Innovation with Agricultural Evolution

Our lab is dedicated to advancing artificial intelligence (AI) technologies and their innovative applications in the biosystems domain, particularly in agriculture. To bridge the gap between the rapid evolution of technology and its practical implementations across diverse industries, our research explores foundational AI methodologies.

In this pursuit, we design AI architectures that can handle complex biological data streams and create adaptive learning systems that evolve with changing environmental conditions, always maintaining reliability despite noisy or incomplete field data. These challenges demand domain-specific knowledge and interdisciplinary collaboration, which our lab actively pursues.

Beyond agricultural applications, our lab explores AI's potential in other domains, fostering interdisciplinary collaborations and advancing AI's role as a versatile problem-solving tool. Inspired by the principles of cognitive science, we emphasize learning from experts across diverse fields, integrating their knowledge to create AI systems that are both innovative and grounded in real-world needs.

Together, we strive to shape a sustainable, efficient, and inclusive future for agriculture and beyond through cutting-edge AI research and development.

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Research Interests

Machine learning solutions for data-scarce real-world applications
Cross-industry AI applications powered by domain knowledge integration
Foundation models for complex biosystems engineering and adaptive intelligence
Intelligent monitoring and decision support systems for agriculture

Projects

2025~Development of a Humanoid AI Robot Foundation Model for Multi‑Task ApplicationsKEIT
2025~Development of Agentic AI-Based Agricultural Decision-Making SystemSNU
2024~AI-Based Analysis Methods for High-Resolution TEM ImagesSamsung Electronics
2024~Cutting-edge Technologies for Plant Health and Convergence Researcher TrainingIPET
2024~AI-Based Prediction of Plant-Microbe Interactions for Plant Health under Climate ChangeSNU
2023~INTEND: Intent-based Data Operation in Cognitive Computing ContinuumHorizon Europe

Selected Publications

SocraticKG: Knowledge Graph Construction via QA-Driven Fact Extraction

Sanghyeok Choi, Woosang Jeon, Kyuseok Yang, Taehyeong KimFindings of the Association for Computational Linguistics (ACL 2026 Findings), 2026

LeafVision: Self-Supervised Agricultural Vision Foundation Models for Plant Disease Classification

Yunseok Han, Woosang Jeon, Taehyeong Kim, Soo ChungEngineering Applications of Artificial Intelligence, 2026

Unraveling the Regioselectivity of Ophiostoma piceae Sterol Esterase as a Case Study for Lipases with Wide Acyl-Binding Tunnel Entrances

Juno Lee, Yoonseok Choi, Taehyeong Kim, Jihoon Kim, Pahn-Shick ChangJournal of Biological Chemistry, 2026

Two-Stage Deep Learning Approach for Screening for Anterior Disk Displacement of the Temporomandibular Joint Using Orthopantomograms

Jong-Soo Kim, Taehyeong Kim, Yong-Hee Ahn, Hong-Gee Kim, Sug-Joon AhnScientific Reports, 2026

Bridging the Lab-to-Field Gap in Plant Disease Diagnosis through Unsupervised Domain Adaptation Enhanced by Background Recomposition

Woosang Jeon, Taehyeong Kim, Sanghyeok Choi, Kyuseok Yang, Seong-Yeop Kim, Mungyeong SongEcological Informatics, 2026

In Silico Mining of sn-1,3 Regioselective Rhizomucor miehei Lipase Homolog With Strict pH Sensitivity From Cordyceps militaris

Juno Lee, Haewon Lee, Taehyeong Kim, Pahn-Shick ChangFood Chemistry, 2025

Click-Gaussian: Interactive Segmentation to Any 3D Gaussians

Seokhun Choi, Hyeonseop Song, Jaechul Kim, Taehyeong Kim, Hoseok DoEuropean Conference on Computer Vision (ECCV 2024), 2024

A sn-2 Regioselective Lipase with Cis-Fatty Acid Preference from Cordyceps militaris: Biochemical Characterization and Insights into Its Regioselective Mechanism

Juno Lee, Juchan Lee, Yoonseok Choi, Taehyeong Kim, Pahn-Shick ChangInternational Journal of Biological Macromolecules, 2024

Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields

Hyeonseop Song, Seokhun Choi, Hoseok Do, Chul Lee, Taehyeong KimProceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), 2023

2D Pose Estimation of Multiple Tomato Fruit-Bearing Systems for Robotic Harvesting

Taehyeong Kim, Dae-Hyun Lee, Kyoung-Chul Kim, Yong-Joo KimComputers and Electronics in Agriculture (COMPAG), 2023

Domain Adapted Broiler Density Map Estimation Using Negative-Patch Data Augmentation

Taehyeong Kim, Dae-Hyun Lee, Wan-Soo Kim, Byoung-Tak ZhangBiosystems Engineering, 2023

Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis

Hoseok Do, EunKyung Yoo, Taehyeong Kim, Chul Lee, Jin Young ChoiProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023

Mothers' Use of Touch Across Infants' Development and Its Implications for Word Learning: Evidence from Korean Dyadic Interactions

Eon‐Suk Ko, Rana Abu‐Zhaya, Eun‐Sol Kim, Taehyeong Kim, Kyung‐Woon On, Hyunji Kim, Byoung‐Tak Zhang, Amanda SeidlInfancy, 2023

Courses

Undergraduate

  • Principles of Intelligent Systems and Algorithms
  • Principles of Machine Learning and Applications in Biosystems Engineering

Graduate

  • Machine Learning for Biosystems Engineering
  • Applications and Lab of Artificial Intelligence
  • Topics in Artificial Intelligence for Biosystems Engineering

Our Team

Prof. Taehyeong Kim

Prof. Taehyeong Kim

Principal Investigator
Woosang Jeon

Woosang Jeon

Research Engineer
Artificial Intelligence Institute
Wonjun Choi

Wonjun Choi

PhD Candidate
Biosystems Engineering
Jaehyeon Lee

Jaehyeon Lee

PhD Candidate
Cognitive Science
Kyoungmin Lee

Kyoungmin Lee

PhD Student
Cognitive Science
Yongtaek Lim

Yongtaek Lim

PhD Student
Cognitive Science
Sanghyeok Choi

Sanghyeok Choi

PhD Student
Biosystems Engineering
Kyuseok Yang

Kyuseok Yang

PhD Student
Biosystems Engineering
KiWon Park

KiWon Park

PhD Student
Cognitive Science
Seungwoo Lee

Seungwoo Lee

MS Student
Biosystems Engineering
Minwoo Kim

Minwoo Kim

MS Student
Biosystems Engineering
Taehyun Jung

Taehyun Jung

MS Student
Biosystems Engineering
Geonwoo Kim

Geonwoo Kim

MS Student
Biosystems Engineering
Gyeongmin Kang

Gyeongmin Kang

Research Intern
Chankyu Yun

Chankyu Yun

Research Intern
Arin Lee

Arin Lee

Research Intern
Doil Ahn

Doil Ahn

Research Intern