Standard

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.

In: Sensors, Vol. 20, No. 11, 2020.

Research output: Contribution to journalA1: Web of Science-article

Harvard

APA

Vancouver

Author

Bibtex

@article{2c09acda16a54bffb3d731bab76fb6bd,
title = "Gloxinia-An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants",
abstract = "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.",
author = "Olivier Pieters and {De Swaef}, Tom and Peter Lootens and Michiel Stock and Isabel Rold{\'a}n-Ruiz and Francis wyffels",
year = "2020",
doi = "10.3390/s20113055",
language = "English",
volume = "20",
journal = "Sensors",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "11",

}

RIS

TY - JOUR

T1 - Gloxinia-An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants

AU - Pieters, Olivier

AU - De Swaef, Tom

AU - Lootens, Peter

AU - Stock, Michiel

AU - Roldán-Ruiz, Isabel

AU - wyffels, Francis

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

U2 - 10.3390/s20113055

DO - 10.3390/s20113055

M3 - A1: Web of Science-article

C2 - 32481619

VL - 20

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 11

ER -