Big Data analytics for sustainable fisheries in Sultanate of Oman- a case study

Authors

  • Anjum Zameer Bhat Middle East College
  • Moosa Ameen Al Balushi Middle East College

Keywords:

Big Data, Big data analytics, internet of things in fisheries

Abstract

The economic contribution of marine fisheries all over the world is significant and billions of people all around the world are earning their livelihood from this sector. It is also important to note that fisheries are a very important sector for the Sultanate of Oman. The demography of the Sultanate of Oman poses it very well to excel in this sector because the Sultanate of Oman has 3,165 km of coastline. However, it is very important to understand the requirement for modernization of fisheries in the Sultanate of Oman to not only cater to the local requirements however develop this sector to export the fisheries products to other countries as well. This research paper is a study related to fisheries in the Sultanate of Oman to enhance the production of fisheries by the implementation of technological aids like big data and big data analytics. This research study also emphasizes the introduction of new technologies to reduce the running cost of the vessels on an everyday basis to decrease the overall cost and as a result enhance significantly the benefits of the fisheries sector. The research paper provides a variety of aspects related to big data analytics that can be utilized for the benefit of fisheries in the Sultanate of Oman. This research paper is a mere effort to study and reflect the yields of big data analytics in fisheries in the Sultanate of Oman.

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Published

06-01-2022

How to Cite

Bhat, A. Z., & Al Balushi, M. A. . (2022). Big Data analytics for sustainable fisheries in Sultanate of Oman- a case study. Journal of Student Research. Retrieved from https://www.jsr.org/index.php/path/article/view/1474