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Big Data in Food Industry: A Technical Summary of Modern Approaches Used in Data Extraction

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  • Andreea-Alina CORNEA

Abstract

The food industry has consistently ranked among the most important industries, providing essential goods for consumption and satisfying the primary needs of individuals, as outlined in Maslow's Pyramid. Access to basic resources, such as water, housing and shelter, is necessary for individuals to meet their basic needs and normally function. While the higher levels of the Pyramid may be achieved through personal and professional growth and education, the foundational elements are essential for human survival. Given the critical importance of this industry, continuous investment in efficient methods of production is justified. In recent years, technology has played an increasingly significant role in the food industry, enabling optimization of various processes, greater control over production and transport, and faster promotion, resulting in increased sales volumes. This article aims to identify and analyze the advantages and disadvantages of different methods and technologies employed in the food industry. The goal is to capture the data necessary for technological solutions that simplify, expedite or reduce the cost of processes, while maintaining or even improving quality standards.

Suggested Citation

  • Andreea-Alina CORNEA, 2023. "Big Data in Food Industry: A Technical Summary of Modern Approaches Used in Data Extraction," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 27(2), pages 25-35.
    • Handle: RePEc:aes:infoec:v:27:y:2023:i:2:p:25-35
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    References listed on IDEAS

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    1. Saurabh Sharma & Vijay Kumar Gahlawat & Kumar Rahul & Rahul S Mor & Mohit Malik, 2021. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics," Logistics, MDPI, vol. 5(4), pages 1-16, September.
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