Peskas: Automated analytics for small-scale, data-deficient fisheries
Small-scale fisheries account for almost 90 % of global fisheries employment and are responsible for landing >40 % of the world's fish catch. Yet their importance to livelihoods and food and nutrition security in Least Developed Countries are only recently emerging due to the logistical, financial, and capacity challenges of gathering and interpreting data in this diverse, dispersed and informal sector. Peskas was designed as a low-cost solution to tackle this problem, providing a template workflow for ingestion and analysis to a decision dashboard, which can be adapted to different contexts and needs.
Authors
- E. Fernando Cagua (ORCID: https://orcid.org/0000-0001-5867-3687)
- Hamza Altarturi (ORCID: https://orcid.org/0000-0002-5486-9882)
- Lorenzo Longobardi (ORCID: https://orcid.org/0000-0003-3126-7341)
- Alexander Tilley (ORCID: https://orcid.org/0000-0002-6363-0945)
- Villiam Sozinho
Institutions
- University of East Anglia (GB)
- WorldFish (MY)
Publication Details
- Journal
- SoftwareX
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1016/j.softx.2024.102028
- Citations
- 7
- Primary Topic
- Marine and fisheries research
- Type
- article
- Field-Weighted Citation Impact
- 1.98
Funders
- American Spinal Injury Association
- Government of the United Kingdom
- Consortium of International Agricultural Research Centers
- Minderoo Foundation
- Foreign, Commonwealth and Development Office