Inteligência artificial aplicada à gestão da qualidade na industria de alimentos: aplicações, benefícios e desafios.

Abstract

In the dynamic landscape of the food industry, quality management and product safety are fundamental pillars. This study, a qualitative and exploratory bibliographic review from 2023 to 2026, analyzed the current state of Artificial Intelligence (AI) in the sector, mapping its applications and discussing its potential to elevate food safety standards globally. The methodology involved synthesizing scientific knowledge from databases such as Scopus and ScienceDirect, as well as documents from organizations like FAO and ISO. AI applications include automated inspection, non destructive analyses, predictive monitoring, traceability and fraud prevention, and optimization in product development. The benefits are the reduction of human errors, process standardization, continuous monitoring, and a transition to a proactive safety model. However, challenges such as implementation costs, scarcity of structured data, professional qualification, and algorithm interpretability persist. It is concluded that AI is a strategic tool for modernizing quality management, but human supervision is indispensable to ensure reliability and ethical responsibility, promoting a safer and more efficient industry.