TERAMOTO Shota 寺本翔太

… Alternative Names

Teramoto Shota 寺本翔太

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Researcher Number	20815534
Other IDs
Affiliation (Current)	2026: 近畿大学, 生物理工学部, 講師
Affiliation (based on the past Project Information) *help	2022 – 2024: 国立研究開発法人農業・食品産業技術総合研究機構, 作物研究部門, 主任研究員
Review Section/Research Field	Principal Investigator Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related / Basic Section 39010:Science in plant genetics and breeding-related
Keywords	Principal Investigator イネ / 非破壊計測 / 深層学習 / エックス線CT / 転流 / X線CT / 整粒 / 高温障害 / 白未熟粒 / ノイズ除去 … More / ディープラーニング / 水田 / 根系構造 / QTL / GWAS / 畳み込み / セマンティックセグメンテーション / 非破壊 / 根系 Less

Research Projects
(2 results)
Research Products
(4 results)

Development of a measurement system for nondestructive evaluation of high-temperature damage in grains.Principal Investigator
- Principal Investigator
  
  寺本翔太
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
- Research Institution
  National Agriculture and Food Research Organization
An ultra-rapid 3D imaging method for crop root systems in soil using image processingPrincipal Investigator
- Principal Investigator
  
  Teramoto Shota
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 39010:Science in plant genetics and breeding-related
- Research Institution
  National Agriculture and Food Research Organization

All 2024

All Journal Article Presentation

[Journal Article] Improved efficiency of crop root system analysis2024
- Author(s)
  寺本翔太
- Journal Title
  
  Root Research
  
  Volume: 33 Issue: 1 Pages: 7-14
- DOI
  10.3117/rootres.33.7
- ISSN
  0919-2182, 1880-7186
- Year and Date
  2024-03-20
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14871
[Journal Article] Detection of quantitative trait loci for rice root systems grown in paddies based on nondestructive phenotyping using X‐ray computed tomography2024
- Author(s)
  Teramoto Shota、Uga Yusaku
- Journal Title
  
  The Plant Journal
  
  Volume: 121 Issue: 1
- DOI
  10.1111/tpj.17171
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K14871
[Journal Article] Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels2024
- Author(s)
  Teramoto Shota、Uga Yusaku
- Journal Title
  
  Plant Methods
  
  Volume: 20 Issue: 1 Pages: 73-73
- DOI
  10.1186/s13007-024-01208-0
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K14871
[Presentation] X線CTを用いた水田で栽培したイネ根系のゲノムワイド関連解析2024
- Author(s)
  寺本翔太, 宇賀優作
- Organizer
  第59回根研究集会
- Data Source
  KAKENHI-PROJECT-22K14871

TERAMOTO Shota 寺本 翔太

Teramoto Shota 寺本 翔太

Research Projects

Research Products

Development of a measurement system for nondestructive evaluation of high-temperature damage in grains.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

An ultra-rapid 3D imaging method for crop root systems in soil using image processingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Improved efficiency of crop root system analysis2024

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] Detection of quantitative trait loci for rice root systems grown in paddies based on nondestructive phenotyping using X‐ray computed tomography2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels2024

Author(s)

Journal Title

DOI

Data Source

[Presentation] X線CTを用いた水田で栽培したイネ根系のゲノムワイド関連解析2024

Author(s)

Organizer

Data Source

TERAMOTO Shota 寺本翔太

Teramoto Shota 寺本翔太