AI Approach in Food Industries and Its Stability

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Authors: Mukul Kumar, Harmandeep Kaur, Deepika Kaushik, Fatih Oz
Cited by: 0

Abstract

Artificial Intelligence (AI) is revolutionizing the agri-food industry by leveraging machine learning (ML) and deep learning (DL) to address challenge such as resource scarcity. Through predictive algorithms and neural networks, AI maximizes energy efficiency, minimize food waste, and promotes food safety and quality. For a sustainable food supply chain, intelligent packaging methods improve freshness evaluation and product monitoring. Artificial intelligence (AI)-driven robotics in the meat processing industry optimize processes like cutting and deboning, improving food safety and consistency. Using spectroscopic data and deep learning models, AI can also detect adulteration and predict the qualities of milk. Additionally, the use of AI in food sensory analysis through neural networks ensures constant quality, meeting evolving consumer expectations. These developments demonstrate how AI is revolutionizing global food production and safety procedures, laying the groundwork for future improvements in food industry efficiency, sustainability, and safety.

Fields of Study & Subjects

Smart Agriculture and AI Artificial Intelligence Applications Food Supply Chain Traceability

Publication details

Journal / source
CRC Press eBooks
Pages
210–227
Publication date
3 March 2026
Language
EN
Document type
Book chapter