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J-GLOBAL ID：201001062733450813   Update date: Jun. 01, 2026

Katsura Keisuke

Katsura Keisuke
Affiliation and department：
Kyoto University Graduate School of Agriculture

About Kyoto University Graduate School of Agriculture


Job title： Professor
Research field  (1)： Crop production science
Research keywords  (1)： Crop Science, Agronomy
Research theme for competitive and other funds  (18)：
  • 2025 - 2027 リモートセンシングと解釈可能なAIによる気候変動下での食糧安全保障の確保に向けたイネ突然変異育種の高速化
  • 2023 - 2026 Revealing the domestication process of southern highland-type quinoa in the Bolivian Andes
  • 2021 - 2024 Establishment of multi-scale crop yield prediction using data assimilation technology
  • 2020 - 2023 異なる環境下における持続可能なダイズ栽培技術改良のための日欧共同研究
  • 2020 - 2023 Practice and evaluation of low-input agriculture using "locally-available biochar" in tropical Asia
Show all
Papers (87)：
  • Tomoaki Yamaguchi, Ando Mariot Radanielson, Olivyn Angeles, Keisuke Katsura, Kazuki Saito. Understanding rice yield gaps with crop modeling and machine learning in a long-term continuous cropping experiment. FIELD CROPS RESEARCH. 2026. 342
  • Sayo Sesay, Tomoaki Yamaguchi, Sayako Kushino, Yasuharu Yoshikawa, Shunsuke Adachi, Keisuke Katsura. Plant-level yield prediction of quinoa in field plots across growth stages using UAV-derived 3D structural and spectral features with machine learning. SMART AGRICULTURAL TECHNOLOGY. 2026. 13
  • Marina IWASA, Shunsuke ADACHI, Tetsuya NAKAMURA, Keisuke KATSURA, Takashi MOTOBAYASHI, Taiichiro OOKAWA. Growth Rate, Weed Competitiveness, and Deepwater Avoidance of a New Type of Rice Line, Monster Rice 2. Japan Agricultural Research Quarterly: JARQ. 2026
  • Sayako Kushino, Nobuyuki Mizuno, Kenta Shirasawa, Yasufumi Kobayashi, Yasunari Fujita, Kazusa Nishimura, Mariko Ueno, Naoko Takeuchi, Hiroki Saito, Shunsuke Adachi, et al. Discovery of a novel CYP76AD1-DODA1 gene cluster associated with betalain pigmentation in quinoa. CYTOLOGIA. 2025. 90. 4. 227-238
  • Tomoaki Yamaguchi, Olivyn Angeles, Toshichika Iizumi, Achim Dobermann, Keisuke Katsura, Kazuki Saito. Machine learning reveals drivers of yield sustainability in five decades of continuous rice cropping. Field Crops Research. 2025. 333. 110114-110114
ｍore...
MISC (101)：
  • Cau Valter Fulgencio, Honda Sotaro, Yamaguchi Tomoaki, Mizui Kohei, Katsura Keisuke, Adachi Shunsuke. Radiation Interception and the Conversion Properties in the Canopies of Japanese Barnyard Millet and Rice Grown in the Paddy Field. Abstracts of Meeting of the CSSJ. 2024. 257. 22-22
  • 山内陽広, 山口友亮, 中嶌洸太, 田中佑, 桂圭佑. Improving the accuracy of growth estimation using UAV aerial images by utilizing data augmentation with reconstruction of pseudo-canopy data. 日本作物学会講演会要旨集. 2024. 257th
  • Nakajima Kota, Tanaka Yu, Katsura Keisuke, Yamaguchi Tomoaki, Saito Kazuki, Tsujimoto Yasuhiro, Watanabe Tomoya, Mochizuki Atsushi, Shiraiwa Tatsuhiko. Effect of labor-saving addition of training data by pseudo-labeling on the versatility of deep learning-based estimation model for rice biomass. Abstracts of Meeting of the CSSJ. 2023. 256. 50-50
  • Nagayoshi Tomoki, Katsura Keisuke, Adachi Shunsuke, Motobayashi Takashi, Ookawa Taiichiro. Establishment of IoT cultivation methods applied to drip irrigation in taro leading varieties. Abstracts of Meeting of the CSSJ. 2023. 255. 68-68
  • Nakajima Kota, Tanaka Yu, Katsura Keisuke, Yamaguchi Tomoaki, Saito Kazuki, Tsujimoto Yasuhiro, Watanabe Tomoya, Shiraiwa Tatsuhiko. Construction of deep learning-based estimation model for rice biomass and its robustness to shooting time and lack of hills. Abstracts of Meeting of the CSSJ. 2022. 254. 117-117
ｍore...
Books (6)：
  • Agroecology for Food Security and Nutrition
    FAO 2018
  • Crop Production under Stressful Conditions
    Springer 2018
  • アジア・アフリカの稲作-多様な生産生態と持続的発展への道
    農山漁村文化協会 2015
  • 大豆生産振興の課題と方向
    農林統計出版 2013
  • Rice is Life: Scientific Perspectives for the 21st Century.
    International Rice Research Institute 2005
ｍore...
Lectures and oral presentations  (35)：
  • ボリビアにおける雑草型キヌア(アハラ)の収集と形質評価
    (日本作物学会第260回要旨集 2025)
  • Scalable soybean yield prediction from UAV imagery: A comparative study of traditional and deep learning models across growth stages
    (2025)
  • スマートフォンで撮影した動画から再構築した3Dイネ個体の実用可能性
    (日本作物学会第260回要旨集 2025)
  • 3D Gaussian splattingを用いて取得した3Dデータを活用したイネの茎数推定の検討
    (日本作物学会第260回要旨集 2025)
  • ドローン空撮マルチスペクトル画像を用いた温帯ジャポニカ226品種の地上部バイオマス予測モデルの構築
    (日本作物学会第260回要旨集 2025)
ｍore...
Education (3)：
  • 2003 - 2005 Kyoto University Graduate School, Division of Agriculture
  • 2001 - 2003 Kyoto University Graduate School, Division of Agriculture
  • 1997 - 2001 Kyoto University Faculty of Science
Work history (6)：
  • 2024/04 - 現在 Kyoto University Graduate School of Agriculture Professor
  • 2016/04 - 2024/03 Tokyo University of Agriculture and Technology Graduate School of Agriculture Associate Professor
  • 2018/05 - 2019/03 Nagoya University International Center for Research and Education in Agriculture Visiting Associate Professor
  • 2007/04 - 2016/03 Kyoto University Graduate Shool of Agriculture Assistant Professor
  • 2013/04 - 2014/03 Nagoya University International Center for Research and Education in Agriculture Visiting Associate Professor
Show all
Awards (3)：
  • 2018 - Japanese Society of Crop Science Best Paper Award in 2018
  • 2016/03 - Japanese Society of Crop Science Best Paper Award in 2016
  • 2014/03 - 17th Japanese Society of Crop Science Young Scientist Award
Association Membership(s) (2)：
Crop Science Society of Japan ,  Japanese Society for Tropical Agriculture
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