2017 Fiscal Year Final Research Report
Environmental monitoring system and evaluation of physiological activity status and using plant bioelectric potential
| Project/Area Number |
16K18125
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Control engineering/System engineering
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| Research Institution | Daido University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Keywords | 植物生体電位 / 生育評価 / 環境モニタリング / pH / クロロフィル蛍光 / 機械学習 |
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| Outline of Final Research Achievements |
In this research, we executed the foundation of research of the environmental monitoring system and evaluation of physiological activity status for plant using plant bioelectric potential. The results are as follows. (1) The correlation between time series characteristics for component of the frequency of the plant bioelectric potential and decreasing chlorophyll fluorescence. (2) The Principal component analysis was effective preprocessing method for machine learning. (3) The average discrimination rate was about more 70% in the experiment result about foliage plant and strawberry. (4) The result was obtained using support vector machine for discrimination of plant condition. (5) The unbalanced training data was used with weighted parameter for subjective class label.
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| Free Research Field |
制御・システム工学
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