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

Simple item page
cg.contribution.worldfishauthorLongobardi, L.en_US
cg.contribution.worldfishauthorSozinho, V.en_US
cg.contribution.worldfishauthorAltarturi, H.H.en_US
cg.contribution.worldfishauthorCagua, E.en_US
cg.contribution.worldfishauthorTilley, A.en_US
cg.contributor.affiliationWorldFishen_US
cg.contributor.affiliationUniversity of East Anglia, School of International Developmenten_US
cg.contributor.funderForeign, Commonwealth & Development Office United Kingdom (Department for International Development United Kingdom)en_US
cg.contributor.funderThe Minderoo Foundationen_US
cg.contributor.funderCGIAR Trust Funden_US
cg.contributor.initiativeAquatic Foodsen_US
cg.contributor.projectAABS - ASIA-AFRICA BLUETECH SUPERHIGHWAY PROJECT under the Climate and Ocean Adaptation and Sustainable Transition programme (COAST)en_US
cg.coverage.countryKenyaen_US
cg.coverage.countryMalawien_US
cg.coverage.countryMozambiqueen_US
cg.coverage.countryUnited Republic of Tanzaniaen_US
cg.coverage.countryTimor-Lesteen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionSouth-Eastern Asiaen_US
cg.creator.idAlexander Tilley: 0000-0002-6363-0945en_US
cg.description.themeFisheriesen_US
cg.identifier.ISIindexedISI indexeden_US
cg.identifier.statusOpen accessen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.agrovocsmall-scale fisheriesen_US
cg.subject.agrovocstock assessmenten_US
cg.subject.agrovociuu fishingen_US
cg.subject.agrovocfishen_US
dc.creatorLongobardi, L.en_US
dc.creatorSozinho, V.en_US
dc.creatorAltarturi, H.H.en_US
dc.creatorCagua, E.en_US
dc.creatorTilley, A.en_US
dc.date.accessioned2025-01-06T13:34:58Z
dc.date.available2025-01-06T13:34:58Z
dc.date.issued2024en_US
dc.description.abstractSmall-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.en_US
dc.formatPDFen_US
dc.identifier.citationLorenzo Longobardi, Villiam Sozinho, Hamza Altarturi, E. Fernando Cagua, Alexander Tilley. (30/12/2024). Peskas: Automated analytics for small-scale, data-deficient fisheries. SoftwareX, 29.en_US
dc.identifier.doihttps://dx.doi.org/10.1016/j.softx.2024.102028en_US
dc.identifier.issn2352-7110en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12348/6228
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceSoftwareX;29,(2024)en_US
dc.subjectdashboarden_US
dc.subjectnear-real-timeen_US
dc.titlePeskas: Automated analytics for small-scale, data-deficient fisheriesen_US
dc.typeJournal Articleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
8802db0909c5bc2c8e25b86ecbb4a5fe.pdf
Size:
4.13 MB
Format:
Adobe Portable Document Format
Description:
softwareX.pdf
PDF (4.13 MB)

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.59 KB
Format:
Item-specific license agreed upon to submission
Description:
TXT (1.59 KB)

Collections

Fisheries