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Open AccessArticle

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

1
IDLab-AIRO—Ghent University—imec, Technologiepark-Zwijnaarde 126, 9052 Zwijnaarde, Belgium
2
Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food, Caritasstraat 39, 9090 Melle, Belgium
3
KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, 9000 Ghent, Belgium
4
Department of Plant Biotechnology and Bioinformatics, Ghent University, Ledeganckstraat 35, 9000 Gent, Belgium
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3055; https://doi.org/10.3390/s20113055
Received: 25 March 2020 / Revised: 20 May 2020 / Accepted: 26 May 2020 / Published: 28 May 2020
(This article belongs to the Special Issue Low-Cost Sensors and Vectors for Plant Phenotyping)
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. View Full-Text
Keywords: plant monitoring; real-time; data acquisition; sensor platform; phenotyping plant monitoring; real-time; data acquisition; sensor platform; phenotyping
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MDPI and ACS Style

Pieters, O.; De Swaef, T.; Lootens, P.; Stock, M.; Roldán-Ruiz, I.; wyffels, F. Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants. Sensors 2020, 20, 3055. https://doi.org/10.3390/s20113055

AMA Style

Pieters O, De Swaef T, Lootens P, Stock M, Roldán-Ruiz I, wyffels F. Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants. Sensors. 2020; 20(11):3055. https://doi.org/10.3390/s20113055

Chicago/Turabian Style

Pieters, Olivier; De Swaef, Tom; Lootens, Peter; Stock, Michiel; Roldán-Ruiz, Isabel; wyffels, Francis. 2020. "Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants" Sensors 20, no. 11: 3055. https://doi.org/10.3390/s20113055

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