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

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.