2023 Fiscal Year Final Research Report
Green health network for plant monitoring in a wide-area and multi-points
| Project/Area Number |
22K19196
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 40:Forestry and forest products science, applied aquatic science, and related fields
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
上妻 馨梨 京都大学, 農学研究科, 助教 (70704899)
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| Project Period (FY) |
2022-06-30 – 2024-03-31
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| Keywords | 植物センサ / IoTセンサ / 植物生理学 / 分光測定 |
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| Outline of Final Research Achievements |
The monitoring of plant stress and responses is a significant challenge these days. In this study, we developed a plant sensor to perform spectroscopic measurements of plant leaves. The sensor is directly attached to the backside of the plant leaf and repeats the reflection measurement. The collected data is sent to a cloud storage via wireless communication. The reliability of the sensor system was verified, and long-term monitoring of leaf coloring was also performed.
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| Free Research Field |
センサ工学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究を通じて、植物に取り付けるユニークな分光測定システムを開発した。葉の裏面にセンサを固定して測定を行うことで再現性の高い測定が可能となった。また、測定システムを屋外で運用できることを葉が紅葉する過程の連続測定から実証した。さらに、測定データは市販の分光光度計と高い相関を示しており、今後は広域あるいは個体内で多点同時測定を行うことも可能となるため、植物学、森林生態学、農業など幅広い領域で活用されるポテンシャルを有する。
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