Scholarlink

<p>The food industry has experienced rapid growth over the past two decades, driven by technological advancements that have generated vast quantities of complex data. However, the industry’s ability to effectively analyze and leverage this data remains limited due to the lack of control over diverse variables. This review addresses a critical gap by exploring how AI-ML-based approaches can be applied to solve key challenges in the food sector.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Big data analytics in food industry: a state-of-the-art literature review

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月21日

查看全文
  • Aftab Siddique,
  • Ashish Gupta,
  • Jason T. Sawyer,
  • Tung-Shi Huang,
  • Amit Morey

摘要

The food industry has experienced rapid growth over the past two decades, driven by technological advancements that have generated vast quantities of complex data. However, the industry’s ability to effectively analyze and leverage this data remains limited due to the lack of control over diverse variables. This review addresses a critical gap by exploring how AI-ML-based approaches can be applied to solve key challenges in the food sector.