COMPLIANCE ANALYSIS IN FOOD AND NUTRITION UNITS, APPLICATION OF ARTIFICIAL INTELLIGENCE IN FOOD SAFETY

Authors

  • José Ricardo Lourenço de Oliveira Author
  • Heleise Faria dos Reis de Oliveira Author
  • Miriã Maiara Laurs Author
  • Gabriela de Oliveira Rebello Author
  • Helber Barcellos da Costa Author

DOI:

https://doi.org/10.56238/arev6n3-338

Keywords:

Good Practices, Food Security, Artificial intelligence, UAN, POP

Abstract

The present study investigated the compliance of Food and Nutrition Units - UAN in the city of Curitiba, Paraná, using a formulated checklist, combined with predictive analysis through Artificial Intelligence - AI. The objective was to identify critical areas related to food safety and the well-being of workers. 159 UANs were evaluated, covering areas such as kitchen, service hall, bathrooms, outdoor area and Standard Operating Procedures - SOP. The data collection consists of 3,975 items observed, statistically analyzed and submitted to AI to identify patterns and predict risks. The main results indicated high levels of compliance in facility sanitization, with 92% and food storage accounting for 90%. However, concerns about inadequate ventilation stood out 20% and cleanliness of outdoor areas 22% non-compliant. With the analyses carried out by AI, strategic answers were obtained, demonstrating areas that need continuous improvement. It was concluded that the use of AI can optimize management practices and contribute to food security, proposing effective interventions and improving compliance in UAN.

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Published

2024-11-26

Issue

Vol. 6 No. 3 (2024)

Section

Articles

How to Cite

DE OLIVEIRA, José Ricardo Lourenço; DE OLIVEIRA, Heleise Faria dos Reis; LAURS, Miriã Maiara; REBELLO, Gabriela de Oliveira; DA COSTA, Helber Barcellos. COMPLIANCE ANALYSIS IN FOOD AND NUTRITION UNITS, APPLICATION OF ARTIFICIAL INTELLIGENCE IN FOOD SAFETY. ARACÊ , [S. l.], v. 6, n. 3, p. 10022–10031, 2024. DOI: 10.56238/arev6n3-338. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/1719. Acesso em: 8 apr. 2025.