Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Artificial intelligence in aquaculture (2015–2025): Scopus-derived materials (query, IDs, thesaurus, PRISMA)

Domaine:

agriculture

Type de record:

dataset
Créateur:
RabAhlMer
Éditeur:
Zenodo
Hôte:avatar
This repository contains the materials required to reproduce the bibliometric analysis reported in “Artificial intelligence in aquaculture: a Scopus-based mapping (2015–2025) with a focus on Africa.” Contents: (i) the exact Scopus TITLE-ABS-KEY query and facets (S1), (ii) the list of exported fields (S2), (iii) the VOSviewer thesaurus and stoplist used for keyword normalisation (S3), (iv) a PRISMA-style flow diagram, and (v) a minimal list of DOIs/EIDs for the 68 included records.Source: Scopus (retrieved 28 June 2025). No Scopus abstracts or proprietary full metadata are redistributed. Files are provided for transparency and reproducibility; users should re-query Scopus under their own licence. Keywords: aquaculture; artificial intelligence; bibliometrics; VOSviewer; Scopus; PRISMA; Africa; data sharing

Visit

doi.orgzenodo.org

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similaires

1337-Artificial-Intelligence/hackai-2025ARDL-VECM ANALYSIS OF ARTIFICIAL INTELLIGENCE ADOPTION AND TAX REVENUE COLLECTION EFFICIENCY IN NIGERIA (2015–2025)KENYA ARTIFICIAL INTELLIGENCE STRATEGY 2025-2030Analysis code and derived data for: Artificial Intelligence Across the Wildfire Management Lifecycle — A PRISMA-Guided Survey of Techniques, Validation Practices, and the Global-South GapAPPLICATION OF ARTIFICIAL INTELLIGENCE IN FORECASTING DEMAND FOR CONSTRUCTION MATERIALS IN RWANDAArtificial Intelligence Applications in Aquaculture: A Review of Global Progress and Zambia's Readiness for Adoption

1337-Artificial-Intelligence/hackai-2025

4-day AI hackathon in 1337 Benguerir, Morocco # HackAI Morocco 2025 🤝 Contributions Welcome! We w

ARDL-VECM ANALYSIS OF ARTIFICIAL INTELLIGENCE ADOPTION AND TAX REVENUE COLLECTION EFFICIENCY IN NIGERIA (2015–2025)

This study examines the influence of artificial intelligence (AI) adoption on tax revenue collection

KENYA ARTIFICIAL INTELLIGENCE STRATEGY 2025-2030

Executive Summary

Kenya’s Artificial Intelligence Strategy envisions the country as Africa’s leading artificial intelligence (AI) hub for model innovation, driving sustainable development, economic growth, and social inclusion while positioning itself a

Analysis code and derived data for: Artificial Intelligence Across the Wildfire Management Lifecycle — A PRISMA-Guided Survey of Techniques, Validation Practices, and the Global-South Gap

This deposit contains the complete analysis pipeline and the derived datasets behind the re

APPLICATION OF ARTIFICIAL INTELLIGENCE IN FORECASTING DEMAND FOR CONSTRUCTION MATERIALS IN RWANDA

This research explores the application of Artificial Intelligence (AI) in forecasting demand for con

Artificial Intelligence Applications in Aquaculture: A Review of Global Progress and Zambia's Readiness for Adoption

Artificial Intelligence (AI) is revolutionizing the aquaculture industry, with intelligent technolog