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Sustainable Peatland Management with IoT and Data Analytics

Abstract : Peatland is important to rural communities’ livelihood due to its potential for aquaculture and agriculture. Nonetheless, human activities such as slash-and-burn can greatly increase forest fire risk, which can release a great amount of greenhouse gases and carbon dioxide into the atmosphere. To sustainably manage and restore peatlands, the Internet of Things (IoT) system can incorporate with Cyber-Physical System (CPS) for peatland management. In this study, an IoT system is deployed in the peatland to monitor the ground water level (GWL) and upload it to the server for the machine learning (ML) process. The trend of GWL will be modelled, and the CPS using the developed ML model will control the peatland rewatering process. As a result, the peatland condition can be monitored in real-time, and the risk of forest fire can be mitigated through rewatering automation before the GWL drops to a critical level.
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Conference papers
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https://hal-emse.ccsd.cnrs.fr/emse-03346490
Contributor : Florent Breuil Connect in order to contact the contributor
Submitted on : Thursday, September 16, 2021 - 1:35:18 PM
Last modification on : Friday, September 17, 2021 - 3:23:43 AM

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  • HAL Id : emse-03346490, version 1

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Jiun Terng Liew, Aduwati Sali, Nor Kamariah Noordin, Borhanuddin Mohd. Ali, Fazirulhisyam Hashim, et al.. Sustainable Peatland Management with IoT and Data Analytics. 22nd IFIP WG 5.5 Working Conference on VIRTUAL ENTERPRISES, PRO-VE 2021, Nov 2021, Saint-Etienne, France. 10p. ⟨emse-03346490⟩

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