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凤梨科植物监测系统——一个开源的植物动态响应监测平台

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

机构信息

IDLab-AIRO - Ghent University - imec, Technologiepark-Zwijnaarde 126, 9052 Zwijnaarde, Belgium.

Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food, Caritasstraat 39, 9090 Melle, Belgium.

出版信息

Sensors (Basel). 2020 May 28;20(11):3055. doi: 10.3390/s20113055.

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.

摘要

研究植物对短期环境变化的动态响应在基础植物科学、表型分析、育种、作物管理和建模中变得越来越重要。这些短期变化对于植物适应新环境至关重要,从而影响植物的适应性和生产力。为了推动这些领域的发展并补充高通量表型分析等现有传感平台,需要可扩展、多功能、准确且低成本的数据记录解决方案。然而,现有的数据记录和传感平台无法满足监测这些响应的要求。因此,设计了一种新的模块化数据记录平台,名为 Gloxinia。根据需求将不同的传感器板相互连接,具有在分布式传感器系统中扩展到数百个传感器的潜力。为了演示该架构,设计了两个传感器板——一个用于单端测量,另一个用于基于锁相放大器的测量,分别命名为 Sylvatica 和 Planalta。为了评估该系统在小型设置中的性能,在生长室中进行了小规模试验。成功捕获了预期的植物动态,表明系统运行正常。虽然没有进行大规模试验,但我们预计该系统可以很好地扩展到更大的设置。此外,该平台是开源的,允许其他用户轻松地在我们的工作基础上进行构建,并进行特定于应用的优化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c65/7309107/46ae415d300f/sensors-20-03055-g001.jpg

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