JarPi: A low-cost raspberry pi based personal assistant for small-scale fishermen

Conference paper

Vora, M., Bekaroo, G., Santokhee, A., Juddoo, S. and Roopowa, D. 2017. JarPi: A low-cost raspberry pi based personal assistant for small-scale fishermen. IEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI). Port Louis, Mauritius 23 - 24 Nov 2017 IEEE. pp. 159-163 https://doi.org/10.1109/iscmi.2017.8279618
TypeConference paper
TitleJarPi: A low-cost raspberry pi based personal assistant for small-scale fishermen
AuthorsVora, M., Bekaroo, G., Santokhee, A., Juddoo, S. and Roopowa, D.
Abstract

Small-scale fishermen face various occupational safety hazards due to unavailability of real-time weather information during fishing activities at sea. Whilst provision of such information could greatly reduce these risks, limited personal assistants exist that could support small scale fishermen in their activities at sea with real-time details on wind speed and direction, rainfall, humidity, geographical location and distance from shore, among others. Furthermore, large scale solutions are too expensive for this category of fishermen to afford. Even though the recent emergence of the Raspberry Pi showed to significantly decrease costs of computational systems, the application of this technology to build solutions for small-scale fishermen is yet to be investigated. As such, this paper investigates the implementation and deployment of a low-cost Raspberry Pi based personal assistant for small-scale fishermen, through a proposed device named JarPi.

KeywordsJarPi; personal assistant; raspberry pi; small scale fishing; low-cost
ConferenceIEEE 4th International Conference on Soft Computing and Machine Intelligence (ISCMI)
Page range159-163
Proceedings Title2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI)
SeriesInternational Conference on Soft Computing & Machine Intelligence ISCMI
ISSN2640-0154
Electronic2640-0146
ISBN
Electronic9781538613146
Paperback9781538613153
PublisherIEEE
Publication dates
Print23 Nov 2017
Online05 Feb 2018
Publication process dates
Deposited12 Jun 2020
Accepted16 Aug 2017
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/iscmi.2017.8279618
Web of Science identifierWOS:000426527600032
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/8267452/proceeding
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Has metadatahttps://publons.com/wos-op/publon/20462683/
LanguageEnglish
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