JarPi: a low-cost raspberry pi based personal assistant for small-scale fishermen
Vora, Megh Hitesh, Bekaroo, Girish 
ORCID: https://orcid.org/0000-0003-1753-4300, Santokhee, Adityarajsingh, Juddoo, Suraj and Roopowa, Divesh
(2017)
JarPi: a low-cost raspberry pi based personal assistant for small-scale fishermen.
Proceedings 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence.
In: 4th ISCMI, 23-24 Nov 2017, Port Louis, Mauritius.
e-ISBN 9781538613146.
[Conference or Workshop Item]
(doi:10.1109/iscmi.2017.8279618)
|
PDF
- Final accepted version (with author's formatting)
Download (597kB) | Preview |
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science |
| Item ID: | 29772 |
| Notes on copyright: | © 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. |
| Useful Links: | |
| Depositing User: | Girish Bekaroo |
| Date Deposited: | 12 Jun 2020 11:41 |
| Last Modified: | 29 Nov 2022 20:25 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/29772 |
Actions (login required)
 |
View Item |
Statistics
Additional statistics are available via IRStats2.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)