Koyama Kento 小山健斗

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KOYAMA KENTO 小山健斗

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Researcher Number	60845907
Other IDs
Affiliation (Current)	2025: 北海道大学, 農学研究院, 准教授
Affiliation (based on the past Project Information) *help	2023 – 2025: 北海道大学, 農学研究院, 准教授 2019 – 2022: 北海道大学, 農学研究院, 助教
Review Section/Research Field	Principal Investigator Basic Section 38050:Food sciences-related / Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related / 0601:Agricultural chemistry and related fields Except Principal Investigator Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
Keywords	Principal Investigator 腐敗 / 食中毒 / 増殖 / 細菌 / シングルセル / 保存 / 機械学習 / 画像解析 / X線 / 追熟過程 … More / X線画像 / 追熟 / アボカド / カビ / リスク評価 / 確率論 / 微生物学的リスク / 予測微生物学 / 食中毒細菌 / ベイズ推定 / バチルス / リステリア / ベイズ統計 … More Except Principal Investigator 非破壊評価 / 青果物貯蔵特性 Less

青果物の貯蔵特性はなぜばらつくのか？劣化程度の「未来」を左右する潜在的因子の解明
- Principal Investigator
  
  渡邊高志
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
- Research Institution
  National Agriculture and Food Research Organization
Growth probability of bacterial populations predicted from single cellsPrincipal Investigator
- Principal Investigator
  
  小山健斗
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 38050:Food sciences-related
- Research Institution
  Hokkaido University
Nondestructive evaluation of internal decay of avocado by X-ray and search for inhibition of fungal growthPrincipal Investigator
- Principal Investigator
  
  Koyama Kento
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
- Research Institution
  Hokkaido University
Bayesian estimation for bacterial behavior from farm to forkPrincipal Investigator
- Principal Investigator
  
  KOYAMA KENTO
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0601:Agricultural chemistry and related fields
- Research Institution
  Hokkaido University

All 2023 2022 2019

All Journal Article Presentation

[Journal Article] Automated detection of internal fruit rot in Hass avocado via deep learning-based semantic segmentation of X-ray images2023
- Author(s)
  Matsui Takahiro、Sugimori Hiroyuki、Koseki Shige、Koyama Kento
- Journal Title
  
  Postharvest Biology and Technology
  
  Volume: 203 Pages: 112390-112390
- DOI
  10.1016/j.postharvbio.2023.112390
- Data Source
  KAKENHI-PROJECT-21K14943
[Journal Article] Development of automatic detection model for stem-end rots of ‘Hass’ avocado fruit using X-ray imaging and image processing2022
- Author(s)
  Matsui Takahiro、Kamata Tatsuki、Koseki Shige、Koyama Kento
- Journal Title
  
  Postharvest Biology and Technology
  
  Volume: 192 Pages: 111996-111996
- DOI
  10.1016/j.postharvbio.2022.111996
- Data Source
  KAKENHI-PROJECT-21K14943
[Journal Article] Describing Uncertainty in Salmonella Thermal Inactivation Using Bayesian Statistical Modeling2019
- Author(s)
  Koyama Kento、Aspridou Zafiro、Koseki Shige、Koutsoumanis Konstantinos
- Journal Title
  
  Frontiers in Microbiology
  
  Volume: 10 Pages: 1-7
- DOI
  10.3389/fmicb.2019.02239
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K23655
[Presentation] When should avocados be inspected? The relationship between skin-color and internal fruit rot2023
- Author(s)
  Takahiro Matsui，Shige Koseki，Kento Koyama
- Organizer
  EFFoST International Conference 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K14943
[Presentation] Investigation of optimum postharvest fungal control condition in ripening of avocado through X-ray inspection2023
- Author(s)
  Yoan Felanny Lembono, Takahiro Matsui, Shige Koseki, Kento Koyama
- Organizer
  EFFoST International Conference 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K14943
[Presentation] X線画像と深層学習を用いたアボカドの内部腐敗の非破壊評価技術の開発2023
- Author(s)
  松井貴大，杉森博行，小関成樹，小山健斗
- Organizer
  農業食料工学会
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K14943
[Presentation] Development of automatic detection model for stem-end rots of 'Hass' avocado fruits using X-ray imaging2022
- Author(s)
  Takahiro Matsui, Shige Koseki, Kento Koyama
- Organizer
  Annual international meeting ammerican society of agricultural and biological engineering
- Data Source
  KAKENHI-PROJECT-21K14943
[Presentation] X 線画像によるアボカドの内部障害の自動判別手法の開発2022
- Author(s)
  松井貴大，安部星，小関成樹，小山健斗
- Organizer
  FOOMA JAPAN 2022 アカデミックプラザ
- Data Source
  KAKENHI-PROJECT-21K14943
[Presentation] Development of automatic detection model for stem- end rots of ‘Hass’ avocado fruits using X-ray imaging2022
- Author(s)
  Takahiro Matsui, Shige Koseki, and Kento Koyama.
- Organizer
  Annual International Meeting, American Society of Agricultural and Biological Engineering
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K14943
[Presentation] Interpreting and predicting the changes in Salmonella population during thermal inactivation by Bayesian statistical modelling2019
- Author(s)
  Kento Koyama, Zafiro Aspridou, Konstantinos Koutsoumanis, Shige Koseki
- Organizer
  11th International Conference on Predictive Modelling in Food
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K23655

1. 渡邊高志 (60760767)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 蔦瑞樹 (80425553)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 冨田理 (70758101)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Koyama Kento 小山 健斗

KOYAMA KENTO 小山 健斗

Research Projects

Research Products

Co-Researchers

青果物の貯蔵特性はなぜばらつくのか？劣化程度の「未来」を左右する潜在的因子の解明

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Growth probability of bacterial populations predicted from single cellsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Nondestructive evaluation of internal decay of avocado by X-ray and search for inhibition of fungal growthPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Bayesian estimation for bacterial behavior from farm to forkPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Automated detection of internal fruit rot in Hass avocado via deep learning-based semantic segmentation of X-ray images2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Development of automatic detection model for stem-end rots of ‘Hass’ avocado fruit using X-ray imaging and image processing2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Describing Uncertainty in Salmonella Thermal Inactivation Using Bayesian Statistical Modeling2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] When should avocados be inspected? The relationship between skin-color and internal fruit rot2023

Author(s)

Organizer

Data Source

[Presentation] Investigation of optimum postharvest fungal control condition in ripening of avocado through X-ray inspection2023

Author(s)

Organizer

Data Source

[Presentation] X線画像と深層学習を用いた アボカドの内部腐敗の非破壊評価技術の開発2023

Author(s)

Organizer

Data Source

[Presentation] Development of automatic detection model for stem-end rots of 'Hass' avocado fruits using X-ray imaging2022

Author(s)

Organizer

Data Source

[Presentation] X 線画像によるアボカドの内部障害の自動判別手法の開発2022

Author(s)

Organizer

Data Source

[Presentation] Development of automatic detection model for stem- end rots of ‘Hass’ avocado fruits using X-ray imaging2022

Author(s)

Organizer

Data Source

[Presentation] Interpreting and predicting the changes in Salmonella population during thermal inactivation by Bayesian statistical modelling2019

Author(s)

Organizer

Data Source

Koyama Kento 小山健斗

KOYAMA KENTO 小山健斗

[Presentation] X線画像と深層学習を用いたアボカドの内部腐敗の非破壊評価技術の開発2023