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Autonomous Wireless Sensor Networks in an IPM Spatial Decision Support System

1
Avia-GIS NV, 2980 Zoersel, Belgium
2
Department of Physics and Astronomy, Faculty of Sciences, University of Gent, 9000 Gent, Belgium
3
Department of Physics, Faculty of Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
4
Department of Electronics and Informatics, Vrije Universiteit Brussels, 1050 Ixelles, Belgium
5
Lumency bvba, 1020 Brussels, Belgium
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in: Petrić, M.; Marsboom, C.; Matheussen, T.; Ducheyne, E.; Vandendriessche, J.; Touhafi, A. Autonomous Wireless Sensor Networks in automated IPM (CloudTech 2018), Brussels, Belgium, 26–28 November 2018.
Computers 2019, 8(2), 43; https://doi.org/10.3390/computers8020043
Received: 15 April 2019 / Revised: 20 May 2019 / Accepted: 23 May 2019 / Published: 28 May 2019
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Abstract

Until recently data acquisition in integrated pest management (IPM) relied on manual collection of both pest and environmental data. Autonomous wireless sensor networks (WSN) are providing a way forward by reducing the need for manual offload and maintenance; however, there is still a significant gap in pest management using WSN with most applications failing to provide a low-cost, autonomous monitoring system that can operate in remote areas. In this study, we investigate the feasibility of implementing a reliable, fully independent, low-power WSN that will provide high-resolution, near-real-time input to a spatial decision support system (SDSS), capturing the small-scale heterogeneity needed for intelligent IPM. The WSN hosts a dual-uplink taking advantage of both satellite and terrestrial communication. A set of tests were conducted to assess metrics such as signal strength, data transmission and bandwidth of the SatCom module as well as mesh configuration, energetic autonomy, point to point communication and data loss of the WSN nodes. Finally, we demonstrate the SDSS output from two vector models forced by WSN data from a field site in Belgium. We believe that this system can be a cost-effective solution for intelligent IPM in remote areas where there is no reliable terrestrial connection. View Full-Text
Keywords: wireless sensor networks; integrated pest management; spatial decision support system; LoRa; satellite communication; Aedes albopictus wireless sensor networks; integrated pest management; spatial decision support system; LoRa; satellite communication; Aedes albopictus
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Petrić, M.; Vandendriessche, J.; Marsboom, C.; Matheussen, T.; Ducheyne, E.; Touhafi, A. Autonomous Wireless Sensor Networks in an IPM Spatial Decision Support System. Computers 2019, 8, 43.

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