Personal profile
In Korean
김윤하 교수(농업생명과학대학 응용생명과학부)
Education
o (2006) B.A., Daegu Catholic University
o (2008) M.A., Kyungpook National University
o (2012) Ph.D., Kyungpook National University
o (2008) M.A., Kyungpook National University
o (2012) Ph.D., Kyungpook National University
Professional Experience
o Contact Professor, Kyungpook National University (2017 ~ 2018)
o Post-Doc, University of Missouri (2014 ~ 2016)
o Visiting Professor, IATC, Kyungpook National University (2012 ~ 2014)
o Post-Doc, University of Missouri (2014 ~ 2016)
o Visiting Professor, IATC, Kyungpook National University (2012 ~ 2014)
Research Interests
o Development of image analysis techonlogy for phenotyping
o Investigation of root diversity in legumns
o Interaction of silicon and root development in legumns
o Investigation of root diversity in legumns
o Interaction of silicon and root development in legumns
Major Research Achievements
o Soybean root image dataset and its deep learning application for nodule segmentation
o Evaluation of soybean wildfire prediction via hyperspectral imaging
o Effect of silicon fertilizer treatment on nodule formation and yield in soybean (Glycine max L.)
o A large root phenome dataset wide-opened the potential for underground breeding in soybean
o Evaluation of soybean wildfire prediction via hyperspectral imaging
o Effect of silicon fertilizer treatment on nodule formation and yield in soybean (Glycine max L.)
o A large root phenome dataset wide-opened the potential for underground breeding in soybean
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Advanced High-Throughput Root Phenotyping and GWAS Identifies Key Genomic Regions in Cowpea During Vegetative Growth Stage
Lay, L., Mansoor, S., Khan, W., Islam, M. S., Ghimire, A., Jo, H., Chung, Y. S. & Kim, Y., 1 Jul 2025, In: Physiologia Plantarum. 177, 4, e70375.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Automatic optimization of regions of interest in hyperspectral images for detecting vegetative indices in soybeans
Lee, S., Ghimire, A., Kim, Y. & Lee, J. D., 2025, In: Frontiers in Plant Science. 16, 1511646.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Correction: Early prediction of disease in soybeans by state-of-the-art machine vision technology (Journal of Crop Science and Biotechnology, (2025), 28, 5, (577-592), 10.1007/s12892-025-00285-4)
Ghimire, A. & Kim, Y., Oct 2025, In: Journal of Crop Science and Biotechnology. 28, 5, p. 713 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
Detection of Bacterial Leaf Spot Disease in Sesame (Sesamum indicum L.) Using a U-Net Autoencoder
Lee, M., Lee, J., Ghimire, A., Bae, Y., Kang, T. A., Yoon, Y., Lee, I. J., Park, C. W., Kim, B. & Kim, Y., Jul 2025, In: Remote Sensing. 17, 13, 2230.Research output: Contribution to journal › Article › peer-review
Open Access -
Early prediction of disease in soybeans by state-of-the-art machine vision technology
Ghimire, A. & Kim, Y., Oct 2025, In: Journal of Crop Science and Biotechnology. 28, 5, p. 577-592 16 p.Research output: Contribution to journal › Review article › peer-review
1 Scopus citations