English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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 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.

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