J-GLOBAL ID:201701010142401890   Update date: Jul. 06, 2024

Tanaka Takashi S. T.

タナカ タカシ | Tanaka Takashi S. T.
Affiliation and department:
Job title: Tenure track assistant professor
Homepage URL  (1): https://pure.au.dk/portal/en/persons/takashi@agro.au.dk
Research field  (1): Crop production science
Research keywords  (7): Machine learning ,  Agricultural ecosystems ,  Cropping system ,  remote sensing ,  Variable-rate application ,  Agronomy ,  Precision agriculture
Research theme for competitive and other funds  (19):
  • 2023 - 2027 Using on-farm experimentation to transform agronomic research
  • 2022 - 2026 中山間地域における100ha規模の水稲栽培の実現に向けた効率的な生産体系の構築
  • 2020 - 2025 センシング技術を駆使した畑作物品種の早期普及と効率的生産システムの確立
  • 2021 - 2024 A quantitative analysis on the factors to increase occurrence of soil-born diseases in soybean
  • 2020 - 2024 Using explainable AI to establish a soil-crop sytem model.
Show all
Papers (40):
  • Yui Yokoyama, Tsutomu Matsui, Takashi S. T. Tanaka. An instance segmentation dataset of cabbages over the whole growing season for UAV imagery. Data in Brief. 2024. 55. 110699
  • Md. Suruj Mia, Luthfan Nur Habibi, Tsutomu Matsui, Takashi S. T. Tanaka. A Bayesian approach to assessing uncertainty in the effect of fertilization strategies on paddy rice yield via multiple on-farm experiments. Plant Production Science. 2024
  • Takashi S. T. Tanaka, Sheng Wang, Johannes Ravn Jørgensen, Marco Gentili, Armelle Zaragüeta Vidal, Anders Krogh Mortensen, Bharat Sharma Acharya, Brittany Deanna Bec, René Gislum. Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms. Drones. 2024. 8. 6. 212
  • Takashi S. T. Tanaka, Gerard B. M. Heuvelink, Taro Mieno, David S. Bullock. Can machine learning models provide accurate fertilizer recommendations?. Precision Agriculture. 2024
  • Luthfan Nur Habibi, Tsutomu Matsui, Takashi S. T. Tanaka. Critical evaluation of the effects of a cross-validation strategy and machine learning optimization on the prediction accuracy and transferability of a soybean yield prediction model using UAV-based remote sensing. Journal of Agriculture and Food Research. 2024. 101096
MISC (6):
  • Takashi S. T. Tanaka, Yui Yokoyama, Taro Mieno. Simulating spatiotemporal variations of crop yield response in a large-scale corn field. The 31st Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence. 2023. Fr-B2-2(1)
  • Takashi S. T. Tanaka. Development of data analytics for on-farm experimentation and its potential for cost reduction. Journal of the Agricultural Society of Japan. 2023. 1700. 28-36
  • Takashi S. T. Tanaka. Research agenda for developing agronomy towards future implementation. Japanese Journal of Crop Science. 2022. 91. 3. 259-259
  • Takashi S. T. Tanaka. Assessment of research frameworks for on-farm experimentation through a simulation study of wheat yield in Japan. arXiv. 2020. 2004.12741
  • Takashi S. T. Tanaka. 国際会議出席報告. Japanese Journal of Crop Science. 2019. 88. 4. 281-281
Lectures and oral presentations  (70):
  • Study on robustness and feasibility of data assimilation for cabbage yield prediction
    (The 257th Meeting of the Crop Science Society of Japan 2024)
  • Using a crop simulation model to assess space-time uncertainty on crop yield response in a synthetic corn field.
    (International Conference on On-Farm Precision Experimentation 2024)
  • Assessing the impact of soil clod and variable rate seeding rate on soybean seedling establishment and yield in Japanese paddy fields using Bayesian approach
    (OFE2023 2023)
  • Assessing the effects of fertilizer management and soil characteristics on rice yield and quality in Japanese mountainous paddy fields.
    (OFE2023 2023)
  • Establishing a web-application platform for data visualization to enhance collaboration between researchers and farmers
Works (1):
  • Statistical program 'geostat'
    Takashi S. T. Tanaka 2020 - 現在
Education (3):
  • 2014 - 2017 Kyoto University Graduate School of Agriculture
  • 2012 - 2014 Kyoto University Graduate School of Agriculture
  • 2008 - 2012 Kyoto University Faculty of Agriculture Department of Bioresource Science
Professional career (1):
  • Ph.D. in Agriculture (Kyoto Univresity)
Work history (10):
  • 2024/02 - 現在 Aarhus University Department of Agroecology Tenure track assistant professor
  • 2024/01 - 現在 Sagri Ltd. Co. CRO
  • 2023/04 - 2024/01 Japan Science and Technology Agency FOREST researcher
  • 2022/04 - 2024/01 Gifu University Faculty of Applied Biological Sciences Associate Professor
  • 2020/01 - 2024/01 Giu University Artificial Intelligence Advanced Research Center
Show all
Committee career (17):
  • 2022/04 - 現在 日本作物学会 若手・男女共同参画ワーキンググループ
  • 2019/06 - 現在 システム農学会 企画
  • 2022/07 - 2023/03 岐阜県 農業DXプラットフォーム構築検討会委員
  • 2021/04 - 2023/03 Japanese Society of Farm Work Research Information commission
  • 2021/04 - 2023/03 日本作物学会 広報委員会委員
Show all
Awards (8):
  • 2022/03 - Japanese Society of Crop Science Japanese Society of Crop Science Best Paper Award How panicle angle and panicle position in the canopy determine pollination and seed set in rice (Oryza sativa L.)
  • 2022/03 - Japanese Society of Crop Science Young Scientist Award Development of data analytics for farmer-centric on-farm experimentations
  • 2022/02 - The United Graduate School of Agricultural Science, Gifu University Young Teacher Award
  • 2020/09 - Japanese Society of Crop Science Best Presentation Award Establishing spatial linear mixed models for on-farm experimentation
  • 2020/09 - Nihon Unisys, Ltd. The 7th Agri-tech Grand Prix Nihon Unisys Award Implementation of data-driven agriculture through on-farm trials
Show all
Association Membership(s) (3):
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page