Towards Sustainable Fishing: Enhancing Data Management in the Araguaia-Tocantins Basin with AI Technologies
The Araguaia-Tocantins basin, essential for riverine communities due to its importance in artisanal fishing, faces a substantial lack of information, preventing the formulation of effective policies. Although the Fishery Statistics System (SIEPE) exists as a traditional information system, the proposed integration with Artificial Intelligence (AI) platforms allows the formulation of natural language queries that are converted into Structured Query Language (SQL) commands, thereby increasing the accessibility of the available data. This innovation has the potential to improve the management of artisanal fishing and create new business opportunities, focusing on sustainability and the preservation of natural resources.
Authors
- Keid Nolan Silva Sousa (ORCID: https://orcid.org/0000-0002-1152-1923)
- Marcela Alves de Souza (ORCID: https://orcid.org/0000-0003-0241-1076)
- Hugo Kuribayashi (ORCID: https://orcid.org/0000-0003-0805-206X)
- Cristiane Cunha (ORCID: https://orcid.org/0000-0001-9476-6135)
- Luna Loyolla
- Saullo Andrade
- Felipe Castanheira
Institutions
- Universidade Federal do Sul e Sudeste do Pará (BR)
Publication Details
- Published
- 2025-05-07
- DOI
- https://doi.org/10.5753/sbsi_estendido.2025.246840
- Primary Topic
- Fish biology, ecology, and behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00