Optimizing Fishing Operations Efficiency Through IoT-Powered Monitoring and Oversight
In Oman, fishing is a pivotal field of activity, but it faces several issues, including the snaring of seabirds by nets that results in financial losses for fisheries businesses and the compromise of seabird populations. The introduction of the Fishing Operations Monitoring System (FOMS) marks the beginning of our research studies. This unique system is a collaboration of strategic surveillance and advanced sensors, which aims at preventing seabird entanglement. We hope our thorough investigation will be more than just an investigation; it will bring about a paradigm shift in the way fishing practice and policy are implemented. At its core stands the goal of devising and implementing practices to abate seabird entanglement, therefore reducing financial burden as well as being a voice for seabird conservation. Assumed to be a panacea, FLOS shows the potential deaths of a significant decrease in seabird deaths and a large loss of money which is obtained by fishing entities. While our research scope is broad, its features include some nuances: it covers a comprehensive evaluation of FOMS's effectiveness along with the acknowledgment of a variety of limitations such as limited resources and technical complexities together with the issues related to stakeholder engagement for improved outcomes. However, among these challenges., the appeal of FOMS acts as a tool that can bring about real transformation, not only financial budget cuts but also quality of life through job creation and sustainability. Aided by joint approaches and community partnerships, FOMS proves a beacon of hope that aims at realigning fishing economics in Oman, upholding equilibrium between economic and environmental sustainability.
Authors
- Divyajyothi M. G
- Salman Murad Albalushi
- Nawar Habib Ali Albalushi
- Rabia Abdulrahim Albalushi
Institutions
- University of Technology and Applied Sciences - Al Mussanah (OM)
Publication Details
- Published
- 2024-11-12
- DOI
- https://doi.org/10.1109/iccda64887.2024.10867319
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00