Rabka, Monika, Mariyanayagam, Dion and Shukla, Pancham (2021) IoT based horticulture monitoring system. In: 5th World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2021), 29-30 July 2021, London, UK..
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409 IoT based Horticulture Monitoring System - Monika Rabka - July 2021.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (386kB) | Preview |
Abstract / Description
With climate change and global warming in mind, vertical farms, hydroponics and urban greenhouses can now be found in many cities worldwide as we transform the ways we produce food. Additionally, recent implications of the COVID-19 pandemic prove that as a society we can harness the benefit of remote monitoring and automation for controlled-environment agriculture and horticulture. The subject matter of this paper is implementation of a solar-powered, Internet of Things (IoT) based Real-time Autonomous Horticulture Monitoring System (RAHMS). The RAHMS integrates a mobile application for viewing the greenhouse crop data and camera feed of plants, and interacts with cloud databases such as Firebase and MATLAB Thing Speak for the scalability. In particular, a simple and distinctive design of a solar-powered, low energy consuming, and inexpensive greenhouse monitoring system is presented. The paper outlines RAHMS design methodology and showcases a proof-of-concept prototype with its core hardware and software components. The proposed system has a potential to further advance the practical aspects of the remote solutions for the cultivation and monitoring of horticulture and controlled-environment agriculture.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Internet of Things (IoT); cloud; smart system; horticulture; greenhouse monitoring; image processing |
Subjects: | 600 Technology > 620 Engineering & allied operations |
Department: | School of Computing and Digital Media |
Depositing User: | Bal Virdee |
Date Deposited: | 19 Oct 2021 10:13 |
Last Modified: | 19 Oct 2021 10:13 |
URI: | https://repository.londonmet.ac.uk/id/eprint/7059 |
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