Research Project
Grant-in-Aid for Young Scientists (B)
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.
All 2018 2017 2016
All Journal Article (2 results) Presentation (3 results)
アグリバイオ
Volume: 2（3） Pages: 262-265
Volume: 2（6） Pages: 586-589
40021926550
