Database Models in Agriculture: a systematic review

Authors

  • Herica Fernanda de Sousa Carvalho Renato Archer, Information Technology Center (CTI), Campinas, SP, Brazil
  • Luiza Maria Capanema Bezerra Agronomic Institute (IAC), Campinas, SP, Brazil
  • Ferrucio de Franco Rosa Renato Archer, Information Technology Center (CTI), Campinas, SP, Brazil

Keywords:

database models, relational model, database integration

Abstract

Access to organized agricultural information represents a trend in the development of modern agriculture. Synthesis and analysis of the literature on data models used in agricultural databases can guide future decision making. In this study, we present a systematic review covering the period from 2010 to 2023, using keywords in scientific databases to identify recent approaches in agriculture using database models. We identified several approaches involving modeling, integration, and management of agricultural data. This review provides a comprehensive overview of the latest methodologies, presenting studies that examine data models specific to agriculture, with an emphasis on the area of plant breeding. Besides, techniques and methods available in the literature that can be used in building databases — considering specific needs for making decisions on agricultural data — are pointed up.

Author Biography

Herica Fernanda de Sousa Carvalho, Renato Archer, Information Technology Center (CTI), Campinas, SP, Brazil

Engenheira Agrônoma, Mestre em Engenharia Agrícola, Doutora em Desenvolvimento e Meio Ambiente- Prodema - UFPE, Recife.

Atualmente é bolsista PCI no Centro de Tecnologia da Informação Renato Archer -  Campinas - SP.

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Published

2025-12-19

How to Cite

Carvalho, H. F. de S., Bezerra, L. M. C., & Rosa, F. de F. (2025). Database Models in Agriculture: a systematic review. Science & Technology Journals, e27757. Retrieved from https://apct.sede.embrapa.br/cct/article/view/27757

Issue

v.42, Jan./Dec., 2025

Section

Review

License

After publication of the work, the Authors are authorized to non-exclusively distribute the version of the published work (for example: publish in an institutional repository, as a book chapter, create links on electronic pages, etc.), as long as the authorship and initial publication in this journal are mentioned.