Presentation Information
[11a-PA3-13]Estimation of plant cultivation conditions and investigation of key factors using Electrochemical Impedance Spectroscopy and Machine Learning
〇Hiroki Yoshinaga1, Mutsumi Sugiyama1,2 (1.Tokyo Univ. Sci., 2.RIST)
Keywords:
Electrochemical Impedance Spectroscopy,plant cultivation environments,feature importance
In this study, we investigated the effects of differences in water availability, light intensity, and fertilization conditions in plant cultivation environments on the internal electrical properties of plants using Electrochemical Impedance Spectroscopy (EIS). In addition, we developed machine learning models to estimate cultivation environments from the obtained EIS parameters, and evaluated both the predictive performance of the models and the importance of each explanatory variable.