Artificial Intelligence (AI) in Food Industry | ||||
| Alexandria Journal of Food Science and Technology | ||||
| Articles in Press, Accepted Manuscript, Available Online from 29 June 2025 | ||||
| Document Type: Review article | ||||
| DOI: 10.21608/ajfs.2025.350527.1063 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Nada Ahmed 
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| Food science and technology, faculty of agriculture, Alexandria university, Alexandria, Egypt | ||||
| Abstract | ||||
| Artificial Intelligence (AI) is transforming the food industry by optimizing processes, enhancing food quality and safety, and promoting innovation. This review highlights the roles of these techniques in predictive maintenance, quality control, product development, and waste management. It discusses techniques like knowledge-based expert systems, fuzzy logic, artificial neural networks, and machine learning, highlighting their roles in predictive maintenance. Integrating AI with advanced sensors improves real-time monitoring and decision-making in food safety and packaging. However, challenges remain, including ethical concerns, data security, transparency, and high costs. AI has the potential to promote sustainability by optimizing resource usage, enhancing food security through predictive analytics of crop yields, and fostering innovation in personalized nutrition and supply chain automation. This ensures products are tailored to individual needs and enables efficient delivery. Additionally, the integration of AI with devices such as electronic noses, electronic tongues, computer vision systems, and near-infrared spectroscopy (NIR) is crucial. These technologies will benefit both industry participants and consumers. | ||||
| Keywords | ||||
| Artificial Intelligence; AI Techniques; Expert System; Fuzzy logic; Food sensors | ||||
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Statistics Article View: 45 |
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