APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF FOOD STORAGE AND LOGISTICS
https://doi.org/10.5281/zenodo.15443143
Keywords:
Artificial intelligence, food safety, logistics, food storage, machine learning, computer vision, smart systems, real-time monitoring, digital logistics, waste reductionAbstract
This article explores the application and effectiveness of artificial intelligence (AI) technologies in the management of food storage and logistics processes. Modern global food supply systems require advanced technological solutions to ensure real-time monitoring, expiration tracking, waste reduction, and efficient distribution. The paper examines the role of AI-driven technologies, including machine learning, computer vision, smart sensors, and automated data analytics, in maintaining optimal storage conditions and improving decision-making across the supply chain. Furthermore, the study analyzes how AI enhances logistics by optimizing delivery routes, automating warehouse operations, and forecasting consumer demand. The findings demonstrate that widespread integration of AI technologies contributes to improved food safety, product quality preservation, and increased operational efficiency in food supply and logistics systems.
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References
Aung, M. M., Chang, Y. C., & Lee, J. Y. (2021). Application of artificial intelligence for real-time monitoring in food storage: A review. Journal of Food Engineering, 292, 110303. https://doi.org/10.1016/j.jfoodeng.2020.110303
Zhong, R. Y., Xu, C., Chen, C., & Huang, G. Q. (2020). Big data analytics for physical internet-based intelligent food logistics. International Journal of Production Research, 58(1), 207–223. https://doi.org/10.1080/00207543.2019.1672905
Food and Agriculture Organization of the United Nations (FAO). (2022). Artificial intelligence for sustainable food systems. FAO. https://www.fao.org/documents
Kumar, R., & Mishra, S. (2023). Challenges in adopting artificial intelligence in agri-food logistics in developing countries. Sustainable Computing: Informatics and Systems, 37, 100827. https://doi.org/10.1016/j.suscom.2023.100827
Ergasheva, N. (2022). Sun’iy intellekt texnologiyalarining O‘zbekiston oziq-ovqat sanoatiga integratsiyasi: muammolar va imkoniyatlar. Innovatsion rivojlanish jurnali, 4(1), 112–119.
Barykin, S. E., Evseeva, O. A., & Leontyev, A. N. (2021). Artificial intelligence in logistics: Trends and prospects of development in the digital economy. Advances in Economics, Business and Management Research, 186, 45–52. https://doi.org/10.2991/aebmr.k.210222.009
He, Y., Zhang, M., & Chen, Y. (2020). Application of artificial intelligence in cold chain logistics of fresh agricultural products. Journal of Cleaner Production, 268, 122348. https://doi.org/10.1016/j.jclepro.2020.122348
Yu, K. D., & Solvang, W. D. (2021). An intelligent logistics system for food supply chains using machine learning. Journal of Food Engineering, 294, 110412. https://doi.org/10.1016/j.jfoodeng.2020.110412
Tang, C. S., & Veelenturf, L. P. (2019). The strategic role of logistics in the industry 4.0 era. Transportation Research Part E: Logistics and Transportation Review, 129, 1–11. https://doi.org/10.1016/j.tre.2019.06.004
Хакимов, Ш. А. (2022). Sun’iy intellekt va logistika tizimlari: Rivojlanish yo‘nalishlari va O‘zbekiston uchun imkoniyatlar. Toshkent: Iqtisodiyot va innovatsiyalar ilmiy jurnali, 4(2), 77–85.
Karimov, U. R., & Abdullaeva, M. N. (2023). Logistika tizimida raqamli texnologiyalarning qo‘llanilishi. O‘zbekiston iqtisodiyoti va biznesi, 5(3), 49–55.
World Economic Forum. (2021). The Future of Artificial Intelligence in Logistics. Retrieved from https://www.weforum.org/reports
Food and Agriculture Organization of the United Nations (FAO). (2020). Artificial Intelligence and Big Data Applications in Agriculture and Food Supply Chains. Rome: FAO Publishing.
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