Rchr
J-GLOBAL ID：200901031750404554   Update date: Nov. 10, 2024

Hirafuji Masayuki

ヒラフジ マサユキ | Hirafuji Masayuki
Affiliation and department：
The University of Tokyo Graduate School of Agricultural and Life Sciences

About The University of Tokyo Graduate School of Agricultural and Life Sciences


Job title： Head,National Agriculture and Food Research Organization, National Agricultural Research Center, Field Monitoring Research Team,Head
Homepage URL  (1)： http://model.job.affrc.go.jp/FieldServer/
Research field  (1)： Agricultural environmental and information engineering
Research keywords  (11)： 情報計測 ,  複雑系 ,  計算モデル ,  進化 ,  遺伝的アルゴリズム ,  最適化 ,  complex system measurement ,  computational model ,  orolution ,  genetic Algorithm ,  Optinization
Research theme for competitive and other funds  (8)：
  • 2021 - 2024 Studies of CPS platform to raise big-data-driven AI agriculture
  • 2015 - 2021 Knowledge Discovery by Constructing AgriBigData
  • 2015 - 2018 Molecular ecological analysis of impacts on soil microorganisms by long term organic substance applicaton
  • 2015 - 2018 Molecluar ecological analysis of nitrogen fixation mechanism in the symbiotic microbial community of sweet potato
  • 2013 - 2015 Development of photo-sensing technologies for plant microbiome analysis
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Papers (65)：
  • Kazunori Taguchi, Guo Wei, James Burridge, Atsushi Ito, Njane Stephen Njehia, Hiroaki Matsuhira, Yasuhiro Usui, Masayuki Hirafuji. High throughput prediction of sugar beet root weight and sugar content in a breeding field using UAV derived growth dynamics. Plant Phenomics. 2024
  • Jiangsan Zhao, Akito Kaga, Tetsuya Yamada, Kunihiko Komatsu, Kaori Hirata, Akio Kikuchi, Masayuki Hirafuji, Seishi Ninomiya, Wei Guo. Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered. Plant Phenomics. 2023. 5
  • Shinji Kawakura, Masayuki Hirafuji, Seishi Ninomiya, Ryosuke Shibasaki. Adaptations of Explainable Artificial Intelligence (XAI) to Agricultural Data Models with ELI5, PDPbox, and Skater using Diverse Agricultural Worker Data. European Journal of Artificial Intelligence and Machine Learning. 2022. 1. 3. 27-34
  • Yasuhiro Usui, Kazunori Taguchi, Masayuki Hirafuji. Differences of the stomatal conductance, transpiration rate and net photosynthesis rate between F1s and their parents in sugar beet(Beta vulgaris ssp. vulgaris). Climate in Biosphere. 2022. 22. 4. 75-84
  • Usui Yasuhiro, Taguchi Kazunori, Hirafuji Masayuki. Comparison of the Growth Characteristics between F1s and their Parents in Sugar Beet (Beta vulgaris ssp. vulgaris). Abstracts of Meeting of the CSSJ. 2022. 254. 85-85
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MISC (44)：
  • 平藤雅之, GUO Wei, 伊藤淳士, 田口和憲. Yield Prediction using time series data of sugar beets. 農業環境工学関連学会合同大会講演要旨集(CD-ROM). 2023. 2023
  • 臼井靖浩, 臼井靖浩, 田口和憲, 田口和憲, 平藤雅之, 平藤雅之. Differences of the stomatal conductance between F1s and their parents in sugar beet (Beta vulgaris ssp. vulgaris) and their relationships with the canopy surface temperature. てん菜研究会報. 2022. 62
  • 臼井靖浩, 田口和憲, 田口和憲, 平藤雅之, 平藤雅之. Comparison based on time-series data of the growth between F1 and its parents in sugar beet (Beta vulgaris ssp. vulgaris). てん菜研究会報. 2021. 61
  • 臼井靖浩, 臼井靖浩, 田口和憲, 田口和憲, 平藤雅之, 平藤雅之. Differences of the canopy surface temperature between F1s and their parents in sugar beet (Beta vulgaris L. ssp. vulgaris). 生物と気象. 2021. 21. 3
  • 臼井靖浩, 田口和憲, 田口和憲, 平藤雅之, 平藤雅之. Comparison of growth and canopy surface temperature among three different cultivars of sugar beet (Beta vulgaris ssp. vulgaris). 生物と気象. 2020. 20. 4
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Education (4)：
  • - 1983 The University of Tokyo
  • - 1983 The University of Tokyo Graduate School, Division of Life Science
  • - 1981 The University of Tokyo
  • University of Tokyo
Professional career (1)：
  • Ph.D.
Awards (10)：
  • 2020/10 - Japan Association of International Committee of Agricultural and Biosystems Engineering Japan Association of International Committee of Agricultural and Biosystems Engineering Award
  • 2019/05 - Japanese Society of Agricultural Informatics Special Contribution Award
  • 2019/05 - Japanese Society of Agricultural Informatics Shonnorinsha International award
  • 2013/05 - Japanese Society of Agricultural Informatics Academic Award Studies of Open Field Servers and Sensor Cloud Systems
  • 2013/05 - Japan Association of International Committee of Agricultural and Biosystems Engineering Fellow
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Association Membership(s) (4)：
農業情報学会 ,  JAPANESE SOCIETY OF AGRICULTURAL ,  情報処理学会 ,  計測自動制御学会
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