Efficient Modeling of Plant Short and Long Term Behavioral Responses to a Stimuli

Gaddi Blumrosen, Yonatan Wexler, Doron Shkolnik, Alex Golberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Plant behavior and response to environmental stimuli has tremendous importance in science and agriculture. In particular, a plant's root continuously senses changes in the environment, and responds in ways that optimize dynamically different essential parameters like its stability, and adequate food and water supplies. Some of the plant behavioral changes in response to environmental changes, like water shortage, can be reversible, and after certain 'stress' time, the plant can get back to its normal behavioral patterns. In other cases, the plant behavior after the stress stimulus ends, is changed, due to effects on internal mechanisms, facilitating long-term behavioral changes. The main aim of this work is to derive a preliminary physical model and analysis tools to quantify the behavioral changes of a plant in response to a stimuli. To demonstrate the model, we examined, without loss of generality, the change in plant growth rate in response to electrical simuli. We showed how the suggested plant behavioral model can assist in computational analysis of short and long term plant response to changing stimuli, construct a common baseline for comparison with other stimuli, and derive new quantitative measurements that can be correlated with internal plant mechanism and assist in assessing behavioral plant patterns and in the design of more efficient agricultural technologies.

Original languageAmerican English
Title of host publicationProceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages342-348
Number of pages7
ISBN (Electronic)9781728195742
DOIs
StatePublished - Oct 2020
Event20th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2020 - Virtual, Cincinnati, United States
Duration: 26 Oct 202028 Oct 2020

Publication series

NameProceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020

Conference

Conference20th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2020
Country/TerritoryUnited States
CityVirtual, Cincinnati
Period26/10/2028/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • electrical stimulation (key words)
  • machine learning
  • modeling
  • plant behavior
  • plant root

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