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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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 |
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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 |
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