4.8 Article

Smart Plants: Low-Cost Solution for Monitoring Indoor Environments

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 9, Issue 22, Pages 23252-23259

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2022.3188475

Keywords

Sensors; Intelligent sensors; Monitoring; Temperature sensors; Containers; Indoor environment; Temperature measurement; Air monitoring; Internet of Things; pervasive sensing; smart plants

Funding

  1. Academy of Finland [339614]
  2. European Social Fund through the IT Academy Programme
  3. Nokia Foundation [20220138]

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This article introduces the idea of using smart plants as a solution for monitoring indoor environments. By integrating sensors into plants, they can serve as an alternative technology for monitoring and improving indoor spaces. A research roadmap is established for the use of smart plants in monitoring indoor environments.
Humans tend to spend most of their life indoors, making the quality of indoor environments essential for human health and wellbeing. While several solutions for monitoring the indoor environment have been proposed, ranging from infrastructure-based monitoring solutions to cameras, these tend to require separate installation, making the sensors difficult to maintain and upgrade. In this article, we introduce the idea of using smart plants as an easy-to-deploy and affordable solution for monitoring the indoor environment. Plants are typically deployed close to humans and they increasingly are placed in containers that integrate sensors, such as soil moisture, temperature, humidity, and CO2 sensors. We demonstrate how these sensors can be used as an alternative technology for monitoring-and enriching-indoor spaces without needing to install proprietary sensors or other technology. Specifically, we show how smart plants can be used to estimate overall CO2 accumulation, occupancy information, and whether people use protective face masks or not. We also establish a research roadmap for the use of smart plants to monitor indoor environments.

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