Enabling citizen science in rural environments with IoT and mobile technologies

Lopez, Unai, Morgan, Jeffrey, Jones, Kathryn, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Edwards, Timothy ORCID: https://orcid.org/0000-0001-6034-1948 and Grigoletto, Fabio 2019. Enabling citizen science in rural environments with IoT and mobile technologies. Presented at: IoT ’19, Bilbao, Spain, 22-25 Oct 2019. -.

Preview

PDF - Presentation Download (6MB) | Preview

Abstract

Citizen Science focuses on engaging and incentivising individuals to collect, categorise and sometimes analyse scientific data. Over the last few years, many of these projects have contributed to relevant scientific discoveries, but bringing them to successful completion is often full of challenges and complexities. In this paper we present our progress in the creation and deployment of a Citizen Science project in Guapiruvu, a village located in the Atlantic Forest in Brazil. We propose an IoT communications platform based on LoRa- enabled Raspberry Pis, which act as network hubs, and which can communicate directly with smartphone hosted applications. This platform is used to run a messaging app that allows two or more smartphones to exchange text over a LoRa network. We tested the platform in the village and results show that communication was possible up to 220 meters, even if one of the hubs was located in an area densely populated with trees. We also discuss how Sapelli Collector, a popular Citizen Science-enabler app, can be used over our developed infrastructure, and mechanisms that can used to increase adoption.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Unpublished
Schools:	Computer Science & Informatics Business (Including Economics) Data Innovation Research Institute (DIURI)
Subjects:	H Social Sciences > H Social Sciences (General) T Technology > T Technology (General)
Funders:	Data Innovation Research Institute, Global Challenges Research Fund
Date of Acceptance:	11 October 2019
Last Modified:	25 Nov 2022 11:34
URI:	https://orca.cardiff.ac.uk/id/eprint/126324

Citation Data

Cited 2 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item