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KATSURA Keisuke

Position

Associate Professor

Affiliations

◆Division of International Environmental and Agricultural Science, Institute of Agriculture
◆Food - Ohtsu Team, Institute of Global Innovation Research
◆ "Research Center for Nitrogen and Phosphorus Upcycling", Global Research Hub, Institute of Global Innovation Research

Researcher ID

FDE-1368-2022

Email

kkatsura(at)go.tuat.ac.jp

URL

https://sites.google.com/site/tuatcroplabeng/home

Professional Career

2005.11~2016.03:Assistant Professor, Graduate School of Agriculture, Kyoto University, Japan
2013.04~2014.03:Visiting Associate Professor, International Cooperation Center for Agricultural Education, Nagoya University, Japan
2018.06~2019.03:Visiting Associate Professor, International Cooperation Center for Agricultural Education, Nagoya University, Japan
2016.04~2024.03:Associate Professor, Graduate School of Agriculture, Tokyo University of Agriculture and Technology, Japan

Academic Degrees

2003/03 Ph.D., Agricultural Science, Kyoto University

Research Interests

Crop Science, Agronomy

Publications

  • Raharimanana, V., Yamaguchi, T., Tsujimoto, Y., Oo, A. Z., Nishigaki, T., Rakotonindrina, H., Katsura, K., A machine learning approach is effective to elucidate yield-limiting factors of irrigated lowland rice under heterogeneous growing conditions and management practices. Field Crops Research, 2023, November 2, 304, 109170. doi: 10.1016/j.fcr.2023.109170
  • Tanaka, Y., Watanabe, T., Katsura, K., Tsujimoto, Y., Takai, T., Tanaka, T. S. T., Kawamura, K., Saito, H., Homma, K., Mairoua, G. S., Ahouanton, K., Ibrahim, A., Senthilkumar, K., Semwal, K. V., Jose E., Matute, G., Corredor, E., El-Namaky, R., Manigbas, N., Quilang, J. P. E., Iwahashi, Y., Nakajima, K., Takeuchi, E., Saito, K. Deep learning enables instant and versatile estimation of rice yield using ground-based RGB images. Plant Phenomics, 2023 July, 5, Article 0073 doi: 10.34133/plantphenomics.0073
  • Kholdorov, S., Gopa-kumar, L., Jabbarovb, Z., Yamaguchi, T., Yamashita, M., Samatov, N., Katsura, K. Analysis of irrigated salt-affected soils in the Central Fergana Valley, Uzbekistan, using Landsat 8 and Sentinel-2 satellite images, laboratory studies, and spectral index-based approaches, Eurasian Soil Science, 2023 June, 56 (8), 1178-1189. doi: 10.1134/S1064229323600185

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