A Framework for an AI-IoT Based System for Improving Fish Production in a Smart Pond

Authors : Naseer Sanni Ajoge; Mohammed Auwal Ahmed; Abubakar Balarabe

Volume/Issue : Volume 8 - 2023, Issue 10 - October

Google Scholar : https://tinyurl.com/jznmtn5p

Scribd : https://tinyurl.com/27c6fw74

DOI : https://doi.org/10.5281/zenodo.10077439

Nigeria still depends largely on imports to bridge the overwhelming demand for fish despite efforts to enhance local production in order to meet the nutritional value requirements of the citizens. Leveraging on technology, a solution can avail an average house-hold to own smart pond which they can monitor and manage from wherever they may be. Our proposed research, therefore, is to develop a framework for a smart pond. The fundamental principle is the interlinking of Internet of Thing (IoT) devices that is smartly driven by Artificial Intelligence (AI) algorithms and powered by a cloud resource. This will enable the learning of some behavioural dynamics of the fishes in the pond from generated data by the sensors. This behavioural understanding can adequately enable adaptation of certain devices for increased production over time. Creating an AI-IoT based system to enhance fish production in a smart pond requires a well-thought- out framework that integrates various technologies and components. This paper is mainly focusing on the design of the framework which, if properly achieved will serve as the basement for the completion of the research which will see the design of the prototype and final implementation. Prototype smart pond that will be achieved in the subsequent research can be implemented based on the framework and the data generated will be analysed and compared with similar data from conventional fish pond.

Keywords : Cloud Computing, IoT, Machine Learning, Smart-Pond.


Paper Submission Last Date
31 - December - 2023

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