Recent progress and future directions of artificial intelligence application to the food industry
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Artificial intelligence (AI) has become the current milestone in industrial development, and the food industry has not been an exception. This chapter addresses the most recent developments in the food industry regarding the application of AI techniques and tools. The focus is on the supply chain, which is addressed from agricultural systems, industrial processes, storage and distribution, and sales to the customers. Emphasis is placed on monitoring, control, planning, and analysis of products without forgetting basic problems such as the analysis of bioprocesses. Real-time monitoring and control schemes address issues such as microbiological safety, preservation of organoleptic and nutritional properties, toxicology, and the role of new packaging technologies. Interactions between sensors, databases, computer systems and algorithms, particularly inspection and quality control systems, are examined to summarize the generation of new technological environments in terms of automation. Furthermore, the influences of AI-based systems on decision-making schemes and the development of new trends such as circular economy and waste management are considered. The problems associated with systems modeling, accessibility, security, and integrity of data and technologies are approached from a critical perspective. In addition, current proposals for solving these problems are addressed. © 2026 Elsevier Inc. All rights reserved..
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