Evaluating Abnormal Condition in Physiological Disorder Using a Fluctuation Characteristic of Plant Bioelectric Potential

Abstract

For maintaining a steady food supply, the trend has been toward developing factory-like production methods in Japan. To date, there is no indicator that can predict growth status of crops. We have accordingly focused on the bioelectric potential inside the plant, which could be an indicator of plant growth. However a few researches have been conducted on its role in determining plant growth status. In this study, we aimed to use plant bioelectric potential as its role in determining plant growth status. In this study, we aimed to use plant bioelectric potential as a means of determining growth conditions. Fluctuation characteristics in plant bioelectric potential frequency components should provide an indication of conditions between normal and inhibited growth. We discuss that different growth condition factors were identified using logistic regression analysis. This experiment yields that a discrimination rate of 86.6% was obtained using the calculated logistic regression model between these conditions.