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,...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/168549 |
| _version_ | 1855518283512414208 |
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| author | Longobardi, Lorenzo Sozinho, Villiam Altarturi, Hamza Cagua, E. Fernando Tilley, Alexander |
| author_browse | Altarturi, Hamza Cagua, E. Fernando Longobardi, Lorenzo Sozinho, Villiam Tilley, Alexander |
| author_facet | Longobardi, Lorenzo Sozinho, Villiam Altarturi, Hamza Cagua, E. Fernando Tilley, Alexander |
| author_sort | Longobardi, Lorenzo |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace168549 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1685492026-01-24T02:03:24Z Peskas: Automated analytics for small-scale, data-deficient fisheries Longobardi, Lorenzo Sozinho, Villiam Altarturi, Hamza Cagua, E. Fernando Tilley, Alexander small-scale fisheries stock assessment iuu fishing fish dashboard near-real-time 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. 2025-01-06T13:36:19Z 2025-01-06T13:36:19Z Journal Article https://hdl.handle.net/10568/168549 en Open Access application/pdf Elsevier Lorenzo Longobardi, Villiam Sozinho, Hamza Altarturi, E. Fernando Cagua, Alexander Tilley. (30/12/2024). Peskas: Automated analytics for small-scale, data-deficient fisheries. SoftwareX, 29. |
| spellingShingle | small-scale fisheries stock assessment iuu fishing fish dashboard near-real-time Longobardi, Lorenzo Sozinho, Villiam Altarturi, Hamza Cagua, E. Fernando Tilley, Alexander Peskas: Automated analytics for small-scale, data-deficient fisheries |
| title | Peskas: Automated analytics for small-scale, data-deficient fisheries |
| title_full | Peskas: Automated analytics for small-scale, data-deficient fisheries |
| title_fullStr | Peskas: Automated analytics for small-scale, data-deficient fisheries |
| title_full_unstemmed | Peskas: Automated analytics for small-scale, data-deficient fisheries |
| title_short | Peskas: Automated analytics for small-scale, data-deficient fisheries |
| title_sort | peskas automated analytics for small scale data deficient fisheries |
| topic | small-scale fisheries stock assessment iuu fishing fish dashboard near-real-time |
| url | https://hdl.handle.net/10568/168549 |
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