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/

Zendy Plus

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

Zendy Tools

Zendy Open

Aquatic plants, such as water hyacinths,  Eichhornia crassipes , are indicators of environmental changes. This study explores the response of water hyacinths to wastewater exposure by analyzing their bioelectrical signals. The analysis includes time, frequency, and joint time-frequency domains, evaluating the plant’s response to water quality variation. In the time domain, the Lempel-Ziv complexity analysis was used to demonstrate how the plant’s response evolves over time, while spectral entropy was used for frequency domain analysis. By using adaptive Gabor representation, the joint time-frequency behavior of the signal was evaluated. All these advanced digital signal processing techniques were used to evaluate the plant’s ability to detect and adapt to the presence of pollutants. The results show that water hyacinths can serve as part of a reliable instrumentation system for real-time aquatic ecosystem monitoring, as the plant’s bioelectrical signals changed both in the time domain and frequency domain.

Using plant electrical signals of water hyacinth ( Eichhornia crassipes ) for water pollution monitoring