Cargando…

Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants

The study of the dynamic responses of plants to short-term environmental changes is becoming increasingly important in basic plant science, phenotyping, breeding, crop management, and modelling. These short-term variations are crucial in plant adaptation to new environments and, consequently, in pla...

Descripción completa

Detalles Bibliográficos
Autores principales: Pieters, Olivier, De Swaef, Tom, Lootens, Peter, Stock, Michiel, Roldán-Ruiz, Isabel, wyffels, Francis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309107/
https://www.ncbi.nlm.nih.gov/pubmed/32481619
http://dx.doi.org/10.3390/s20113055
_version_ 1783549148517105664
author Pieters, Olivier
De Swaef, Tom
Lootens, Peter
Stock, Michiel
Roldán-Ruiz, Isabel
wyffels, Francis
author_facet Pieters, Olivier
De Swaef, Tom
Lootens, Peter
Stock, Michiel
Roldán-Ruiz, Isabel
wyffels, Francis
author_sort Pieters, Olivier
collection PubMed
description The study of the dynamic responses of plants to short-term environmental changes is becoming increasingly important in basic plant science, phenotyping, breeding, crop management, and modelling. These short-term variations are crucial in plant adaptation to new environments and, consequently, in plant fitness and productivity. Scalable, versatile, accurate, and low-cost data-logging solutions are necessary to advance these fields and complement existing sensing platforms such as high-throughput phenotyping. However, current data logging and sensing platforms do not meet the requirements to monitor these responses. Therefore, a new modular data logging platform was designed, named Gloxinia. Different sensor boards are interconnected depending upon the needs, with the potential to scale to hundreds of sensors in a distributed sensor system. To demonstrate the architecture, two sensor boards were designed—one for single-ended measurements and one for lock-in amplifier based measurements, named Sylvatica and Planalta, respectively. To evaluate the performance of the system in small setups, a small-scale trial was conducted in a growth chamber. Expected plant dynamics were successfully captured, indicating proper operation of the system. Though a large scale trial was not performed, we expect the system to scale very well to larger setups. Additionally, the platform is open-source, enabling other users to easily build upon our work and perform application-specific optimisations.
format Online
Article
Text
id pubmed-7309107
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-73091072020-06-25 Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants Pieters, Olivier De Swaef, Tom Lootens, Peter Stock, Michiel Roldán-Ruiz, Isabel wyffels, Francis Sensors (Basel) Article The study of the dynamic responses of plants to short-term environmental changes is becoming increasingly important in basic plant science, phenotyping, breeding, crop management, and modelling. These short-term variations are crucial in plant adaptation to new environments and, consequently, in plant fitness and productivity. Scalable, versatile, accurate, and low-cost data-logging solutions are necessary to advance these fields and complement existing sensing platforms such as high-throughput phenotyping. However, current data logging and sensing platforms do not meet the requirements to monitor these responses. Therefore, a new modular data logging platform was designed, named Gloxinia. Different sensor boards are interconnected depending upon the needs, with the potential to scale to hundreds of sensors in a distributed sensor system. To demonstrate the architecture, two sensor boards were designed—one for single-ended measurements and one for lock-in amplifier based measurements, named Sylvatica and Planalta, respectively. To evaluate the performance of the system in small setups, a small-scale trial was conducted in a growth chamber. Expected plant dynamics were successfully captured, indicating proper operation of the system. Though a large scale trial was not performed, we expect the system to scale very well to larger setups. Additionally, the platform is open-source, enabling other users to easily build upon our work and perform application-specific optimisations. MDPI 2020-05-28 /pmc/articles/PMC7309107/ /pubmed/32481619 http://dx.doi.org/10.3390/s20113055 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pieters, Olivier
De Swaef, Tom
Lootens, Peter
Stock, Michiel
Roldán-Ruiz, Isabel
wyffels, Francis
Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants
title Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants
title_full Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants
title_fullStr Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants
title_full_unstemmed Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants
title_short Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants
title_sort gloxinia—an open-source sensing platform to monitor the dynamic responses of plants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309107/
https://www.ncbi.nlm.nih.gov/pubmed/32481619
http://dx.doi.org/10.3390/s20113055
work_keys_str_mv AT pietersolivier gloxiniaanopensourcesensingplatformtomonitorthedynamicresponsesofplants
AT deswaeftom gloxiniaanopensourcesensingplatformtomonitorthedynamicresponsesofplants
AT lootenspeter gloxiniaanopensourcesensingplatformtomonitorthedynamicresponsesofplants
AT stockmichiel gloxiniaanopensourcesensingplatformtomonitorthedynamicresponsesofplants
AT roldanruizisabel gloxiniaanopensourcesensingplatformtomonitorthedynamicresponsesofplants
AT wyffelsfrancis gloxiniaanopensourcesensingplatformtomonitorthedynamicresponsesofplants