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

被引:5
|
作者
Pieters, Olivier [1 ,2 ]
De Swaef, Tom [2 ]
Lootens, Peter [2 ]
Stock, Michiel [3 ]
Roldan-Ruiz, Isabel [2 ,4 ]
Wyffels, Francis [1 ]
机构
[1] Univ Ghent, IMEC, IDLab, AIRO, Technol Pk Zwijnaarde 126, B-9052 Zwijnaarde, Belgium
[2] Flanders Res Inst Agr Fisheries & Food, Plant Sci Unit, Caritasstr 39, B-9090 Melle, Belgium
[3] Univ Ghent, Dept Data Anal & Math Modelling, KERMIT, Coupure Links 653, B-9000 Ghent, Belgium
[4] Univ Ghent, Dept Plant Biotechnol & Bioinformat, Ledeganckstr 35, B-9000 Ghent, Belgium
基金
比利时弗兰德研究基金会;
关键词
plant monitoring; real-time; data acquisition; sensor platform; phenotyping; STOMATAL CONDUCTANCE; RAPID CHANGES; SAP FLOW; WATER; PHOTOSYNTHESIS; THERMOGRAPHY; SENSORS; TOMATO; PHLOEM; IMPACT;
D O I
10.3390/s20113055
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:20
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