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Type Journal Article
Scope Discipline-based scholarship
Title Automated physiological recovery of avocado plants for plant-based adaptive machines
Organization Unit
Authors
  • Dana Damian
  • Shuhei Miyashita
  • Atushi Aoyama
  • Dominique Cadosch
  • P-T Huang
  • Manuel Ammann
  • Rolf Pfeifer
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Adaptive Behavior
Publisher Sage Publications Ltd.
Geographical Reach international
ISSN 1059-7123
Volume 22
Number 2
Page Range 109 - 122
Date 2014
Abstract Text Interfacing robots with real biological systems is a potential approach to realizing truly adaptive machines, which is a long-standing engineering challenge. Although plants are widely spread and versatile, little attention has been given to creating cybernetic systems incorporating plants. Producing such systems requires two main steps: the acquisition and interpretation of biological signals, and issuing the appropriate stimulation signals for controlling the physiological response of the biological part. We investigate an automated physiological recovery of young avocado plants by realizing a closed interaction loop between the avocado plant and a water-control device. The study considers the two aforementioned steps by reading out postural cues (leaf inclination) and electrophysiological (biopotential) signals from the plant, and controlling the water resource adaptive to the drought condition of an avocado plant. Analysis of the two signals reveals time-frequency patterns of increased power and global synchronization in the narrow bands when water is available, and local synchronization in the broad bands for water shortage. The results indicate the feasibility of interface technologies between plants and machines, and provide preliminary support for achieving adaptive plant-based ‘machines’ based on plants’ large and robust physiological spectrum and machines’ control scheme diversity. We further discuss fundamental impediments hindering the use of living organisms like plants for artificial systems.
Digital Object Identifier 10.1177/1059712313511919
Other Identification Number merlin-id:11642
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