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Research Vision
Research Vision
From AI to Real-World Intelligence
From AI to Real-World Intelligence
Advancing AI to perceive, learn, and act in complex real-world environments, bridging fundamental advances in artificial intelligence with impactful real-world applications.
Research Areas
Research Areas
Visual Intelligence & World Models
Visual Intelligence & World Models
We develop computer vision and deep learning methods for visual recognition, object detection, segmentation, tracking, pose estimation, and video understanding. Our research transforms complex visual data into meaningful insights about objects, scenes, and behavior.
Trustworthy and Explainable AI
Trustworthy and Explainable AI
We investigate explainable, robust, and reliable AI, focusing on out-of-distribution detection, open-world pattern recognition, and novel category discovery. Our goal is to help AI systems handle unfamiliar data and previously unseen categories.
AI for Smart Agriculture
AI for Smart Agriculture
We develop advanced AI-based and multi-modal methods for crop monitoring, plant health assessment and forecasting, disease recognition, and intelligent greenhouse management, supporting more precise, data-driven agricultural systems under real-world conditions.
Animal Intelligence & Behavior
Animal Intelligence & Behavior
We develop integrated vision-based methods for animal identification, tracking, behavior recognition, and social interaction analysis to advance precision livestock farming. Our research investigates social dynamics and explores indicators associated with animal welfare.
Robotics & Intelligent Systems
Robotics & Intelligent Systems
We explore intelligent perception, multimodal sensing, and autonomous systems that connect AI with the physical world. Our research spans robot design, component development, intelligent control, navigation, planning, semantic mapping, spatial memory, and 3D reconstruction.
AI for Biomedical Diagnostics
AI for Biomedical Diagnostics
We develop deep learning methods for automated analysis of biomedical images, focusing on antinuclear antibody (ANA) immunofluorescence pattern classification. Our research explores hierarchical AI approaches to support accurate and efficient diagnostic interpretation.
Selected Publications
Selected Publications
Explore selected works highlighting my research in AI for Smart Agriculture, Animal Intelligence and Behavior, and Computer Vision.
Visit the Publications ↗ section for the complete list of publications.
AI for Smart Agriculture
AI for Smart Agriculture
Giving the greenhouse a brain: How artificial intelligence is transforming controlled environment agriculture
Giving the greenhouse a brain: How artificial intelligence is transforming controlled environment agriculture
A. Fuentes, S. Yoon, D.S. Park, and N. Gruda.
Comput. Electron. Agric. https://doi.org/10.1016/j.compag.2026.112608
J. Dong, H. Zhou, A. Fuentes, S. Yoon, and D. S. Park.
Front. Plant Sci. 16:1623907, August 2025. doi: 10.3389/fpls.2025.1623907
A. Fuentes, S. Asgher, J. Dong, Y. Jeong, M. H. Lee, T. Kim, S. Yoon, and D. S. Park.
Frontiers in Plant Science, 16, 1511161, May 2025. doi: 10.3389/fpls.2025.1511651.
J. Dong, W. Jin, A. Fuentes, J. Lee, Y. Jeong, S. Yoon, and D. S. Park.
Eng. Appl. of Artificial Intelligence, 156, May, 2025. doi: 10.1016/j.engappai.2025.111016.
J. Dong, Y. Yao, A. Fuentes, Y. Jeong, S. Yoon, D. S. Park.
Smart Agricultural Technology. 10, September 2024. doi: 10.1016/j.atech.2024.100568.
J. Dong, A. Fuentes, H. Zhou, Y. Jeong, S. Yoon, and D.S. Park.
Scientific Reports, 14, 17900, Aug. 2024. doi: 10.1038/s41598-024-66958-2
J. Dong, A. Fuentes, S. Yoon, H. Kim, and D.S. Park.
Frontiers in Plant Science, vol. 14, Oct. 2023. doi: 10.3389/fpls.2023.1238722.
J. Dong, A. Fuentes, S. Yoon, H. Kim, Y. Jeong, and D.S. Park.
Frontiers in Plant Science, vol. 14, Sept. 2023. doi: 10.3389/fpls.2023.1243822.
M. Xu, H. Kim, J. Yang, A. Fuentes, Y. Meng, S. Yoon, and D.S. Park.
Frontiers in Plant Science, vol. 14, Sept. 2023. doi: 10.3389/fpls.2023.1225409.
R. Ma, A. Fuentes, S. Yoon, W. Lee, S. C. Kim, H. Kim, and D. S. Park.
Frontiers in Plant Science, vol. 14, Ago. 2023. doi: 10.3389/fpls.2023.1211075.
J. Dong, J. Lee, A. Fuentes, M. Xu, S. Yoon, M.H. Lee, and D.S. Park.
Frontiers in Plant Science, 13:1037655, Dec. 2022. doi: 10.3389/fpls.2022.1037655
A. Fuentes, S. Yoon, T. Kim, and D.S. Park.
Frontiers in Plant Science, vol. 12, 2021. doi: 10.3389/fpls.2021.758027
A. Fuentes, S. Yoon, M. Lee, and D.S. Park.
Frontiers in Plant Science, vol. 12, 2021. doi: 10.3389/fpls.2021.682230
M. Xu, S. Yoon, A. Fuentes, J. Yang, and D.S. Park.
Frontiers in Plant Science, vol. 12, 2022. doi: 10.3389/fpls.2021.773142
A. Fuentes, S. Yoon, and D. S. Park.
Frontiers in Plant Science, vol. 10, no. 1321, 2019. doi: 10.3389/fpls.2019.01321
H. Nazki, S. Yoon, A. Fuentes, and D. S. Park.
Computer and Electronics in Agriculture, 2020. doi: 10.1016/j.compag.2019.105117
A. Fuentes, S. Yoon, J. Lee, D. S. Park.
Frontiers in Plant Science, vol. 9, no. 1162, Aug. 2018. doi: 10.3389/fpls.2018.01162
A. Fuentes, S. Yoon, S. C. Kim, D. S. Park.
Sensors 2017, vol. 17, no. 9, Sept. 2017. doi: 10.3390/s17092022
Most influential paper published in Sensors (2001-2025)! 🏅
First breakthrough paper on deep learning-based plant disease recognition🏅
A. Fuentes, D. H. Im, S. Yoon, D. S. Park.
Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science, Zakopane, Poland. May, 2017. doi: 10.1007/978-3-319-59063-9_4
Animal Intelligence & Behavior
Animal Intelligence & Behavior
J. Liu, A. Fuentes✉, S. Han, J. Liu, S. Yoon, Y. Jeong, D.S. Park.
Animals 16(15), 2320. https://doi.org/10.3390/ani16152320 (Corr. Author).
A. Fuentes✉, S. Han, J. Liu, J. Park, S. Yoon, D.S. Park.
Animal 20 (4) (2026) 101788. https://doi.org/10.1016/j.animal.2026.101788 (Corr. Author).
J. Liu, A. Fuentes, S. Han, Y. Jeong, S. Yoon, and D.S. Park.
Computers and Electronics in Agriculture, 2025, 239. doi: 10.1016/j.compag.2025.111117.
S. Han, A. Fuentes, J. Liu, Z. Du, J. Park, J. Yang, Y. Jeong, S. Yoon, and D.S. Park.
Agriculture, 2025, 15, 1970. doi: 10.3390/agriculture15181970. (Eq. contr)
M. F. Nasir, A. Fuentes, S. Han, J. Liu, Y. Jeong, S. Yoon, and D.S. Park.
Artificial Intelligence in Agriculture, 2025, 15-4. doi: 10.1016/j.aiia.2025.06.001. (Eq. contr)
S. Han. A. Fuentes, J. Park, S. Yoon, J. Yang, Y. Jeong, and D.S. Park.
Computers and Electronics in Agriculture, 2025, 234, 3588. doi: 10.1016/j.compag.2025.110301.
Y. Meng, S. Yoon, S. Han, A. Fuentes, J. Park, Y. Jeong, and D.S. Park.
Animals, 2023, 13, 3588. doi: 10.3390/ani13223588
A. Fuentes, S. Han, M. F. Nasir, J. Park, S. Yoon, and D.S. Park.
Animals, vol. 13, no. 2020, June 2023. doi: 10.3390/ani13122020
Best Paper Award - Among all papers published in 2023🏅
S, Han, A. Fuentes, S. Yoon, Y. Jeong, H. Kim, and D.S. Park.
Computer and Electronics in Agriculture, 1012:108044, Sep. 2023.
doi: /10.1016/j.compag.2023.108044
A. Fuentes, S. Yoon, J. Park, and D. S. Park.
Computer and Electronics in Agriculture. 2020. doi: 10.1016/j.compag.2020.105627.
First breakthrough paper on video-based cattle behaviror recognition🏅
General Computer Vision
General Computer Vision
M. Xu, S. Yoon, A. Fuentes, and D.S. Park.
Pattern Recognition, vol. 137, no. 109347, Jan 2023. doi: 10.1016/j.patcog.2023.109347.
Editor's choice🏅
M. Xu, J. Lee, A. Fuentes, D.S. Park, J. Yang, and S. Yoon.
IEEE Access, 2021. doi: 10.1109/ACCESS.2021.3102263.
A. Fuentes, S. Yoon, and D. S. Park.
KSII Transactions on Internet and Information Systems, vol. 12, no. 12, pp. 5978-599. 2018, doi: 10.3837/tiis.2018.12.020.
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