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Peskas: Automated analytics for small-scale, data-deficient fisheries

Year: 2024

Type: software-paper

Abstract: 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.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.102028

Authors: Lorenzo Longobardi, Villiam Sozinho, Hamza Altarturi, E. Fernando Cagua, Alexander Tilley

Institutions: WorldFish, University of East Anglia

Language: English

Topic: Marine and fisheries research

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Decent work and economic growth, No poverty, Zero hunger

Open Access status: gold

Estimated APC paid: $970