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Study on freshness estimation of fruit and vegetable using general-purpose devices

Research Project

Project/Area Number 17K20034
Research Category

Grant-in-Aid for Challenging Research (Exploratory)

Allocation TypeMulti-year Fund
Research Field Applied informatics and related fields
Research InstitutionRitsumeikan University

Principal Investigator

HIRABAYASHI AKIRA  立命館大学, 情報理工学部, 教授 (50272688)

Co-Investigator(Kenkyū-buntansha) 井尻 敬  芝浦工業大学, 工学部, 准教授 (30550347)
Project Period (FY) 2017-06-30 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2018: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2017: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Keywords食物 / 鮮度 / 汎用センサ / 機械学習 / トマト / リンゴ / みかん / 果物・野菜の鮮度推定 / 音プローブ / 振動プローブ / 信号処理 / 農作物鮮度推定
Outline of Final Research Achievements

The goal of this study is to develop a new technique for estimating conditions of fruits (e.g. firmness and storage time) by using small and common sensors. Key idea is to use sound signal; we hit a linear sweep signal to a target fruit by using a small speaker and capture a reflected signal with a small microphone. We collect reflected signals from fruits in various conditions and use it to perform regression. In this study, we have performed various experiments. For instance, we collected reflected signals of tomatoes, mandarin oranges and apples to estimate their firmness and storage time. We conducted cross validation for the collected dataset and found relatively accurate estimation results. We recently found some results indicating a possibility that conditions of our measurement devices had an influence to the estimation results. We are continuing experiments to clarify this point.

Academic Significance and Societal Importance of the Research Achievements

鮮度・硬さ・食べごろといった果物の状態は,農業従事者だけでなく,一般消費者にとっても重要な関心ごとであり,農作物の状態を手軽に計測できるツールの需要は少なくない.本研究課題は,小型スピーカー・小型マイクといった安価な汎用センサのみで,果物の状態を推定できるシステムの実現を目指している.2年の研究期間中に蓄えた実験結果やノウハウに基づき,今後さらに実験を実施する予定である.本研究課題が実現できれば,果物の貯蔵日数や硬さを手軽に推定できるようになり,その社会的な意義は大きい.

Report

(3 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • Research Products

    (8 results)

All 2019 2018 Other

All Int'l Joint Research (1 results) Presentation (6 results) (of which Int'l Joint Research: 2 results) Remarks (1 results)

  • [Int'l Joint Research] フランス国立科学研究センター(CNRS)(フランス)

    • Related Report
      2018 Annual Research Report
  • [Presentation] One-dimensional edge-preserving spline smoothing for estimation of piecewise smooth functions2019

    • Author(s)
      D. Kitahara, L. Condat, and A. Hirabayashi,
    • Organizer
      2019 International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 客観品質を考慮した敵対的生成ネットワークによる画像超解像2019

    • Author(s)
      山本宏哉, 北原大地, 平林晃
    • Organizer
      電子情報通信学会信号処理研究会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Acoustic Probing for Estimating the Storage Time and Firmness of Tomatoes and Mandarin Oranges2018

    • Author(s)
      Hidetomo Kataoka, Takashi Ijiri, Kohei Matsumura, Jeremy White, and Akira Hirabayashi
    • Organizer
      Computing Research Repository
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 混合過程推定にスパース性を利用したブラインド音源分離2018

    • Author(s)
      北原大地,小田亮太,平林晃
    • Organizer
      第62回システム制御情報学会研究発表講演会
    • Related Report
      2018 Annual Research Report
  • [Presentation] インパルス応答のスパース性を利用したブラインド音源分離2018

    • Author(s)
      小田亮太,北原大地,平林晃
    • Organizer
      電子情報通信学会信号処理研究会
    • Related Report
      2017 Research-status Report
  • [Presentation] 直交射影層を用いた畳み込みニューラルネットワークによる画像超解像2018

    • Author(s)
      馬場敦之,片岡秀公,北原大地,平林晃
    • Organizer
      電子情報通信学会信号処理研究会
    • Related Report
      2017 Research-status Report
  • [Remarks] 「音を用いた農作物の鮮度計測」web application

    • URL

      http://ec2-13-112-46-205.ap-northeast-1.compute.amazonaws.com:5000

    • Related Report
      2017 Research-status Report

URL: 

Published: 2017-07-21   Modified: 2020-03-30  

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