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Nutritional diagnosis and yield estimation of apple trees using hyperspectral imaging

Research Project

Project/Area Number 16K07968
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Agricultural environmental engineering/Agricultural information engineering
Research InstitutionHirosaki University

Principal Investigator

YE Xujun  弘前大学, 農学生命科学部, 准教授 (10708168)

Co-Investigator(Kenkyū-buntansha) 張 樹槐  弘前大学, 農学生命科学部, 教授 (90261429)
Research Collaborator ABE Shiori  
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Keywordsハイパースペクトルイメージング / リンゴ / 画像処理 / 栄養診断 / 収量推定・予測 / ハイパースペクトル画像計測 / 栄養評価 / 非破壊計測 / 可視化 / 果実判別 / 栄誉診断
Outline of Final Research Achievements

This research placed emphasis on the development of evaluation methods and visualization techniques for the nutritional status of apple trees. Hyperspectral imagery was obtained and chemical analysis was performed to quantify the nitrogen and chlorophyll contents in apple leaves. Multiple linear regression (MLR) models for estimating the nitrogen and chlorophyll contents based on the reflectance spectrum of a few selected key wavelengths were established. Nitrogen distribution maps at both leaf and canopy levels were generated. Moreover, this research also verified the applicability of a newly developed smartphone-based rice scan device (Maxell Co., Ltd.) to the evaluation of nutritional status in apple leaves. An original leaf color index (LCI) based on RGB parameters obtained by the device, and an inexpensive and easy-to-use leaf color chart (LCC) were developed. These new approaches and tools may be potentially applied to precision nutrient management in apple orchard.

Academic Significance and Societal Importance of the Research Achievements

ハイパースペクトル画像計測によるリンゴ樹体生育状況取得、様々なケモメトリックス解析とモデリング手法および画像処理も統合した技術開発である点に学術的意義がある。また、果樹園の精密管理の実現に資する栄養診断と収量予測技術の利活用により、樹体毎のニーズに応じた施肥作業による環境負荷の低減、樹体の生産持続性の向上および管理作業の省力化が図れる点で社会的意義が高い。

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (10 results)

All 2019 2018 2017 2016

All Journal Article (3 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results,  Acknowledgement Compliant: 1 results) Presentation (7 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Journal Article] Estimation and mapping of nitrogen content in apple trees at leaf and canopy levels using hyperspectral imaging2019

    • Author(s)
      Xujun Ye, Shiori Abe, Shuhuai Zhang
    • Journal Title

      Precision Agriculture

      Volume: 印刷中 Issue: 1 Pages: 198-225

    • DOI

      10.1007/s11119-019-09661-x

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] ハイパースペクトル画像計測による農作物の栄養状態および農畜産物の品質状況の可視化2019

    • Author(s)
      叶 旭君
    • Journal Title

      アグリバイオ

      Volume: 印刷中

    • Related Report
      2018 Annual Research Report
  • [Journal Article] ハイパースペクトル画像計測によるリンゴ成葉の窒素含有量推定モデルの構築2016

    • Author(s)
      阿部汐里、張 樹槐、叶 旭君
    • Journal Title

      農業食料工学会東北支部報

      Volume: 63 Pages: 29-32

    • NAID

      40021075575

    • Related Report
      2016 Research-status Report
    • Acknowledgement Compliant
  • [Presentation] ライススキャンを用いたリンゴ樹の栄養状態評価のための簡易な葉色指数とカラーチャートの開発2018

    • Author(s)
      叶 旭君,阿部汐里,張 樹槐,芳村裕之
    • Organizer
      農業環境工学関連学会2018年合同大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] リンゴ樹の栄養状況評価の検討2018

    • Author(s)
      叶 旭君
    • Organizer
      あおもり産学官金連携Day2018
    • Related Report
      2018 Annual Research Report
  • [Presentation] Application of spectroscopy and hyperspectral imaging for agriculture and food research2018

    • Author(s)
      Xujun Ye, Shuhuai Zhang
    • Organizer
      3rd IPFS-FAFU 2018 International Symposium
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] ハイパースペクトル画像計測を用いたリンゴ樹の個葉および樹冠レベルの栄養状態評価と可視化2017

    • Author(s)
      叶 旭君,阿部 汐里,張 樹槐
    • Organizer
      第76回農業食料工学会年次大会
    • Related Report
      2017 Research-status Report
  • [Presentation] ライススキャンとSPADによるリンゴ成葉の窒素含有量の推定2017

    • Author(s)
      阿部汐里,張 樹槐,叶 旭君,河内遥香,芳村裕之
    • Organizer
      第76回農業食料工学会年次大会
    • Related Report
      2017 Research-status Report
  • [Presentation] ハイパースペクトル画像計測によるリンゴ成葉の窒素含有量推定モデルの構築2016

    • Author(s)
      阿部汐里,張 樹槐,叶 旭君
    • Organizer
      平成28年度(2016)農業食料工学会東北支部大会
    • Place of Presentation
      北里大学(十和田市)
    • Year and Date
      2016-08-25
    • Related Report
      2016 Research-status Report
  • [Presentation] ハイパースペクトル計測によるリンゴ成葉の窒素含有量推定モデルの構築2016

    • Author(s)
      叶 旭君、阿部汐里、張 樹槐
    • Organizer
      第75回農業食料工学会年次大会
    • Place of Presentation
      京都大学(京都市)
    • Year and Date
      2016-05-27
    • Related Report
      2016 Research-status Report

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Published: 2016-04-21   Modified: 2020-03-30  

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