Organization
Faculty of Environmental, Life, Natural Science and Technology Special-Appointment Assistant Professor
Position
Special-Appointment Assistant Professor
External link
中嶌 洸太
Research Interests
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Above-ground biomass
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Image analysis
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Deep learning
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Phenotyping
Education
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Kyoto University 大学院農学研究科 農学専攻
2022.4 - 2025.3
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Kyoto University 大学院農学研究科 農学専攻
2020.4 - 2022.3
Research History
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Japan Society for the Promotion of Science 特別研究員DC2
2024.4 - 2025.3
Country：Japan
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京都大学大学院
2022.4 - 2024.3
Country：Japan
Professional Memberships
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Crop Science Society of Japan
2020.1
Papers
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Robustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations Reviewed
Kota Nakajima, Kazuki Saito, Yasuhiro Tsujimoto, Toshiyuki Takai, Atsushi Mochizuki, Tomoaki Yamaguchi, Ali Ibrahim, Salifou Goube Mairoua, Bruce Haja Andrianary, Keisuke Katsura, Yu Tanaka
Smart Agricultural Technology 11 100998 - 100998 2025.5
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Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy
Kota Nakajima, Yu Tanaka, Keisuke Katsura, Tomoaki Yamaguchi, Tomoya Watanabe, Tatsuhiko Shiraiwa
Plant Production Science 26 ( 2 ) 187 - 196 2023
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Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images. International journal
Yu Tanaka, Tomoya Watanabe, Keisuke Katsura, Yasuhiro Tsujimoto, Toshiyuki Takai, Takashi Sonam Tashi Tanaka, Kensuke Kawamura, Hiroki Saito, Koki Homma, Salifou Goube Mairoua, Kokou Ahouanton, Ali Ibrahim, Kalimuthu Senthilkumar, Vimal Kumar Semwal, Eduardo Jose Graterol Matute, Edgar Corredor, Raafat El-Namaky, Norvie Manigbas, Eduardo Jimmy P Quilang, Yu Iwahashi, Kota Nakajima, Eisuke Takeuchi, Kazuki Saito
Plant phenomics (Washington, D.C.) 5 0073 - 0073 2023
MISC
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Improving the accuracy of growth estimation using UAV aerial images by utilizing data augmentation with reconstruction of pseudo-canopy data
山内陽広, 山口友亮, 中嶌洸太, 田中佑, 桂圭佑
日本作物学会講演会要旨集 257th 2024
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Construction of Deep Learning-Based Estimation Model for the Days Before Heading of Rice Using Image Analysis
田村拓巳, 中嶌洸太, 田中佑, 白岩立彦
日本作物学会講演会要旨集 257th 2024
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Development of a diagnostic technique for fertilizer application using a rice biomass estimation model based on deep learning
望月篤, 中嶌洸太, 田中佑, 中村充明
日本作物学会関東談話会報(Web) 38 2023
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Time-course genome wide association study for the photosynthetic induction in rice
谷吉和貴, 中嶌洸太, 西村和紗, 田中佑, 白岩立彦
日本作物学会講演会要旨集 256th 2023
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Effect of labor-saving addition of training data by pseudo-labeling on the versatility of deep learning-based estimation model for rice biomass
中嶌洸太, 田中佑, 桂圭佑, 山口友亮, 齋藤和樹, 齋藤和樹, 齋藤和樹, 辻本泰弘, 渡邊智也, 望月篤, 白岩立彦
日本作物学会講演会要旨集 256th 2023
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Construction of deep learning-based estimation model for rice biomass and its robustness to shooting time and lack of hills
中嶌洸太, 田中佑, 桂圭佑, 山口友亮, 齋藤和樹, 齋藤和樹, 辻本泰弘, 渡邊智也, 白岩立彦
日本作物学会講演会要旨集 254th 2022
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Estimation of rice biomass using deep learning-based model for cultivars having diverse plant types
中嶌洸太, 田中佑, 桂圭佑, 山口友亮, 白岩立彦
日本作物学会講演会要旨集 251st 2021
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Deep learning-based robust estimation for rice biomass using digital image of canopy
中嶌洸太, 田中佑, 田中佑, 桂圭佑, 白岩立彦
日本作物学会講演会要旨集 249th 2020
Awards
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Presentation Award (Oral)
2021.9 The 10th Asian Crop Science Association Conference Deep Learning-Based Robust Estimation for Rice Biomass Using Digital Image of Canopy