Publications

Publications

For a complete list of my publications, please visit my Google Scholar profile.

2026

• Uyehara, I. K., Yun, H., Rizzo, K. T., Ranario, E., & Earles, M. (2026). AgRowStitch: A Leaf-Scale Image Stitching Pipeline for Ground-Based Agricultural Images. Applied Engineering in Agriculture, 42(3), 307-317.
• [Yun, H., Uyehara, I. K., Droutsas, I., Ranario, E., Diepenbrock, C. H., Bailey, B. N., & Earles, J. M. (2026). A Vision Language Model for Generating XML-Based Organ-Level Plant Architecture Representations of Cowpea From Simulated Images. Frontiers in Artificial Intelligence, 9, 1844338. https://doi.org/10.3389/frai.2026.1844338
• Yun, H., Uyehara, I. K., Ranario, E., Lundqvist, L., Diepenbrock, C. H., Bailey, B. N., & Earles, J. M. (2026). Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning. arXiv preprint arXiv:2603.08930.
• Mayanja, I. K., Yun, H., & Bailey, B. N. (2026). Automated calibration of stomatal conductance models from thermal imagery by leveraging synthetic images generated from Helios 3D biophysical model simulations. Journal of Experimental Botany, eraf420.

2025

• Jeon, Y.-J., Kim, H.S., Lee, T.S., Park, S.H., Yun, H., & Jung, D.-H. (2025). Multimodal Optical Biosensing and 3D-CNN Fusion for Phenotyping Physiological Responses of Basil Under Water Deficit Stress. Agronomy, 16(1), 55.
• Ranario, E., Lundqvist, L., Yun, H., Bailey, B. N., & Earles, J. M. (2025). AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait Identification. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 5392-5401).
• Berlingeri, J., Fuentes, A., Ranario, E., Yun, H., Rim, E. Y., Garrett, O., Howard, A., … (2025). Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance. Theoretical and Applied Genetics, 138(9), 205.
• Ranario, E., Mayanja, I., Yun, H., Bailey, B. N., & Earles, J. M. (2025). Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data. arXiv preprint arXiv:2509.19208.

2024

• Yun, H., Lo, S., Diepenbrock, C. H., Bailey, B. N., & Earles, J. M. (2024). VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5470-5479).

2023

• Kim, D.-W., Jeong, S. J., Lee, W. S., Yun, H., Chung, Y. S., Kwon, Y.-S., & Kim, H.-J. (2023). Growth monitoring of field-grown onion and garlic by CIE Lab* color space and region-based crop segmentation of UAV RGB images. Precision Agriculture, 24(5), 1982–2001.
• Mayanja, I., Yun, H., Earles, M., & Bailey, B. N. (2023). Automated parameterization of stomatal conductance models from thermal imagery by leveraging synthetic images generated from Helios 3D biophysical model simulations. Authorea Preprints.

2020

• Yun, H., Kim, H. J., Cho, W., Kim, H. S., & Lim, S. J. (2020). Development of an in situ Dead Leaf Weight Monitoring System. Precision Agriculture, 2(3), 182.

2018

• Kim, D. W., Yun, H. S., Jeong, S. J., Kwon, Y. S., Kim, S. G., Lee, W. S., & Kim, H. J. (2018). Modeling and testing of growth status for Chinese cabbage and white radish with UAV-based RGB imagery. Remote Sensing, 10(4), 563.

2017

• Jeong, S., Kim, D., Yun, H., Cho, W., Kwon, Y., & Kim, H. (2017). Monitoring the growth status variability in Onion (Allium cepa) and Garlic (Allium sativum) with RGB and multi-spectral UAV remote sensing imagery. In Proceedings of the 7th Asian-Australasian Conference on Precision Agriculture (pp. 1-8).
• Kim, D., Jeong, S. J., Yun, H., Kwon, Y. S., & Kim, H. J. (2017). Validation testing of UAV-based vegetable growth estimation models. In 2017 ASABE Annual International Meeting (p. 1).

2016

• Yun, H. S., Park, S. H., Kim, H. J., Lee, W. D., Lee, K. D., Hong, S. Y., & Jung, G. H. (2016). Use of unmanned aerial vehicle for multi-temporal monitoring of soybean vegetation fraction. Journal of Biosystems Engineering, 41(2), 126-137.
• Jeong, S. J., Yun, H., Kim, D. W., Kim, H. J., Yoo, C. S., & Kwon, Y. S. (2016). Development of an Image Segmentation Method for Monitoring Garlic Growth Status Using UAV Imagery. Proceedings of the Korean Society for Agricultural Machinery Conference, 21(2), 58-58.
• Seo, S. H., Yun, H., Jeong, S. J., Kim, D. W., Kim, G. S., & Kim, S. G. (2016). Study on Optimal Image Acquisition Methods for UAV Remote Sensing of Upland Crops. Proceedings of the Korean Society for Agricultural Machinery Conference, 21(2), 56-56.
• Yun, H., Jung, S. J., & Kim, H. J. (2016). Radiometric Calibration and Vegetation Index Analysis of Upland-Crop UAV images. Proceedings of the Korean Society for Agricultural Machinery Conference, 21(1), 129-130.

2015

• Lee, K. D., Na, S. I., Baek, S. C., Park, K. D., Choi, J. S., Kim, S. J., Kim, H. J., Yun, H. S., & Hong, S. Y. (2015). Estimating the amount of nitrogen in hairy vetch on paddy fields using unmanned aerial vehicle imagery. Korean Journal of Soil Science and Fertilizer, 48(5), 384-390.
• Yun, H., Kim, H. J., Park, K., Lee, K., & Hong, S. (2015). Use of an UAV for biomass monitoring of hairy vetch. In 2015 ASABE Annual International Meeting (p. 1).
• Yun, H., Jiang, J. S. (2015). Estimation of Leaf Area, Plant Height, and Fresh Weight of Lettuce in Plant factory using Structure from Motion (SfM) Technique. Proceedings of the Korean Society for Agricultural Machinery Conference, 20(2), 171-172.
• Yun, H., Lee, I. S., Lee, H. T., Kim, H. S., & Kim, H. J. (2015). Development of a Field Monitoring System for Moisture Change in Fallen Leaves. Proceedings of the Korean Society for Agricultural Machinery Conference, 20(2), 343-344.
• Yun, H. S., Kim, H. J., Lee, K. D., Hong, S. Y., & Park, K. D. (2015). Monitoring Hairy Vetch Growth using UAV Images. Proceedings of the Korean Society for Agricultural Machinery Conference, 20(1), 73-74.