Towards a Plant Bio-Machine

Stefano Nichele; Sebastian Risi; Gunnar Tufte; Laura Beloff

doi:10.1109/SSCI.2017.8285288

Towards a Plant Bio-Machine

Stefano Nichele, Sebastian Risi, Gunnar Tufte, Laura Beloff

Not published at Aalto University

IT University of Copenhagen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Plants are very efficient computing machines. They are able to sense diverse environmental conditions and quickly react through chemical and electrical signaling. In this paper, we present an interface between plants and machines (a cybernetic plant), with the goal of augmenting the capabilities of plants towards the creation of plant biosensors. We implement a data acquisition system able to stimulate the plant through different electrical signals, as well as record the electrical activity of plants in response to changing electrical stimulations, light conditions, and chemicals. The results serve as a proof of concept that sensing capabilities of plants are a viable option for the development of plant bio-machines. Different future scenarios (some speculative) are discussed. The work herein is carried out as a collaboration between the EU project Flora Robotica and the EU project NASCENCE.

Original language	English
Title of host publication	IEEE Alife conference (SSCI) proceedings
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Print)	978-1-5386-2727-3
DOIs	https://doi.org/10.1109/SSCI.2017.8285288
Publication status	Published - 8 Feb 2018
MoE publication type	A4 Conference publication
Event	IEEE Symposium Series on Computational Intelligence - Honolulu, United States Duration: 27 Nov 2017 → 1 Dec 2017 https://www.ele.uri.edu/ieee-ssci2017/

Conference

Conference	IEEE Symposium Series on Computational Intelligence
Abbreviated title	SSCI
Country/Territory	United States
City	Honolulu
Period	27/11/2017 → 01/12/2017
Internet address	https://www.ele.uri.edu/ieee-ssci2017/

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10.1109/SSCI.2017.8285288

Cite this

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title = "Towards a Plant Bio-Machine",

abstract = "Plants are very efficient computing machines. They are able to sense diverse environmental conditions and quickly react through chemical and electrical signaling. In this paper, we present an interface between plants and machines (a cybernetic plant), with the goal of augmenting the capabilities of plants towards the creation of plant biosensors. We implement a data acquisition system able to stimulate the plant through different electrical signals, as well as record the electrical activity of plants in response to changing electrical stimulations, light conditions, and chemicals. The results serve as a proof of concept that sensing capabilities of plants are a viable option for the development of plant bio-machines. Different future scenarios (some speculative) are discussed. The work herein is carried out as a collaboration between the EU project Flora Robotica and the EU project NASCENCE.",

author = "Stefano Nichele and Sebastian Risi and Gunnar Tufte and Laura Beloff",

year = "2018",

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doi = "10.1109/SSCI.2017.8285288",

language = "English",

isbn = "978-1-5386-2727-3",

pages = "1--8",

booktitle = "IEEE Alife conference (SSCI) proceedings",

publisher = "IEEE",

address = "United States",

note = "IEEE Symposium Series on Computational Intelligence, SSCI ; Conference date: 27-11-2017 Through 01-12-2017",

url = "https://www.ele.uri.edu/ieee-ssci2017/",

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T1 - Towards a Plant Bio-Machine

AU - Nichele, Stefano

AU - Risi, Sebastian

AU - Tufte, Gunnar

AU - Beloff, Laura

PY - 2018/2/8

Y1 - 2018/2/8

N2 - Plants are very efficient computing machines. They are able to sense diverse environmental conditions and quickly react through chemical and electrical signaling. In this paper, we present an interface between plants and machines (a cybernetic plant), with the goal of augmenting the capabilities of plants towards the creation of plant biosensors. We implement a data acquisition system able to stimulate the plant through different electrical signals, as well as record the electrical activity of plants in response to changing electrical stimulations, light conditions, and chemicals. The results serve as a proof of concept that sensing capabilities of plants are a viable option for the development of plant bio-machines. Different future scenarios (some speculative) are discussed. The work herein is carried out as a collaboration between the EU project Flora Robotica and the EU project NASCENCE.

AB - Plants are very efficient computing machines. They are able to sense diverse environmental conditions and quickly react through chemical and electrical signaling. In this paper, we present an interface between plants and machines (a cybernetic plant), with the goal of augmenting the capabilities of plants towards the creation of plant biosensors. We implement a data acquisition system able to stimulate the plant through different electrical signals, as well as record the electrical activity of plants in response to changing electrical stimulations, light conditions, and chemicals. The results serve as a proof of concept that sensing capabilities of plants are a viable option for the development of plant bio-machines. Different future scenarios (some speculative) are discussed. The work herein is carried out as a collaboration between the EU project Flora Robotica and the EU project NASCENCE.

U2 - 10.1109/SSCI.2017.8285288

DO - 10.1109/SSCI.2017.8285288

M3 - Conference article in proceedings

SN - 978-1-5386-2727-3

SP - 1

EP - 8

BT - IEEE Alife conference (SSCI) proceedings

PB - IEEE

T2 - IEEE Symposium Series on Computational Intelligence

Y2 - 27 November 2017 through 1 December 2017

ER -

Towards a Plant Bio-Machine

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