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Gloxinia—an open-source sensing platform to monitor the dynamic responses of plants

(2020) SENSORS. 20(11).
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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.
Keywords
Electrical and Electronic Engineering, Analytical Chemistry, Atomic and Molecular Physics, and Optics, Biochemistry, plant monitoring, real-time, data acquisition, sensor platform, phenotyping, STOMATAL CONDUCTANCE, RAPID CHANGES, SAP FLOW, WATER, PHOTOSYNTHESIS, THERMOGRAPHY, SENSORS, TOMATO, PHLOEM, IMPACT

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Citation

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MLA
Pieters, Olivier, et al. “Gloxinia—an Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants.” SENSORS, vol. 20, no. 11, 2020, doi:10.3390/s20113055.
APA
Pieters, O., De Swaef, T., Lootens, P., Stock, M., Roldàn-Ruiz, I., & wyffels, F. (2020). Gloxinia—an open-source sensing platform to monitor the dynamic responses of plants. SENSORS, 20(11). https://doi.org/10.3390/s20113055
Chicago author-date
Pieters, Olivier, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldàn-Ruiz, and Francis wyffels. 2020. “Gloxinia—an Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants.” SENSORS 20 (11). https://doi.org/10.3390/s20113055.
Chicago author-date (all authors)
Pieters, Olivier, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldàn-Ruiz, and Francis wyffels. 2020. “Gloxinia—an Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants.” SENSORS 20 (11). doi:10.3390/s20113055.
Vancouver
1.
Pieters O, De Swaef T, Lootens P, Stock M, Roldàn-Ruiz I, wyffels F. Gloxinia—an open-source sensing platform to monitor the dynamic responses of plants. SENSORS. 2020;20(11).
IEEE
[1]
O. Pieters, T. De Swaef, P. Lootens, M. Stock, I. Roldàn-Ruiz, and F. wyffels, “Gloxinia—an open-source sensing platform to monitor the dynamic responses of plants,” SENSORS, vol. 20, no. 11, 2020.
@article{8663377,
  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.}},
  articleno    = {{3055}},
  author       = {{Pieters, Olivier and De Swaef, Tom and Lootens, Peter and Stock, Michiel and Roldàn-Ruiz, Isabel and wyffels, Francis}},
  issn         = {{1424-8220}},
  journal      = {{SENSORS}},
  keywords     = {{Electrical and Electronic Engineering,Analytical Chemistry,Atomic and Molecular Physics,and Optics,Biochemistry,plant monitoring,real-time,data acquisition,sensor platform,phenotyping,STOMATAL CONDUCTANCE,RAPID CHANGES,SAP FLOW,WATER,PHOTOSYNTHESIS,THERMOGRAPHY,SENSORS,TOMATO,PHLOEM,IMPACT}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{20}},
  title        = {{Gloxinia—an open-source sensing platform to monitor the dynamic responses of plants}},
  url          = {{http://dx.doi.org/10.3390/s20113055}},
  volume       = {{20}},
  year         = {{2020}},
}

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