Artificial Intelligence in the Food Supply Chain

Document Type : Extension

Authors

1 Assistant Professor, Department of Food Hygiene and Industry, Faculty of Para-Veterinary, Ilam University, Iran.

2 Bachelor's Student in Food Science and Engineering, Faculty of Para-Veterinary, Ilam University, Iran

Abstract

Artificial Intelligence (AI), as one of the most advanced technologies of the modern era, has brought significant transformations to the agriculture industry and food supply. By leveraging machine learning algorithms and artificial neural networks, this technology has wide-ranging applications in optimizing production, quality control, and food supply chain management. Among its key benefits are reduced water and pesticide usage, increased productivity, decreased food waste, and the design of personalized products. However, the implementation of AI faces challenges such as high costs, ethical concerns, and the need for advanced infrastructure. The food supply chain can achieve enhanced productivity and sustainable production through the application of artificial intelligence. This technology not only improves the quality and safety of agricultural products but also enables smarter decision-making through big data analytics. Despite existing challenges, the future of the agriculture and food industry will be profoundly influenced by advancements in AI, requiring cross-sector collaboration to overcome obstacles. This study examines the role of artificial intelligence in optimizing the food supply chain from production to consumption, along with its associated ethical challenges and concerns.

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Main Subjects

Agricultural Information Sciences and Technology
Volume 8, Issue 2 - Serial Number 16
September 2025
Pages 49-58

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History

  • Receive Date: 27 May 2025
  • Revise Date: 13 July 2025
  • Accept Date: 11 July 2025

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