食品工业
食品加工
计算机科学
食品行业
多样性(控制论)
质量(理念)
食品质量
食物系统
生物技术
人工智能
粮食安全
农业
食品科学
生态学
哲学
化学
认识论
生物
作者
Arzoo Thapa,Shivani Nishad,Deblina Biswas,Swarup Roy
出处
期刊:Food bioscience
[Elsevier BV]
日期:2023-10-07
卷期号:56: 103231-103231
被引量:51
标识
DOI:10.1016/j.fbio.2023.103231
摘要
Due to escalating food demand in tandem with the growing global population over the past few decades, artificial intelligence (AI) has been implemented into food business. The ability of the AI-assisted systems to perform a variety of activities, including determining food quality, providing control mechanisms, categorising foods, and making predictions has increased demand for them in the food sector. In addition to AI, application of sensors has also enhanced in food industry for various applications e.g., freshness sensing, pathogen detection, adulteration detection, fragrance detection etc. Currently, AI-assisted sensing system named as intelligent systems are instigated in food industry. This technology fusion has a distinct potential to revolutionise the entire food industry by efficient food manufacturing, optimal food processing and high-quality food production and preservation. Therefore, it is necessary to have comprehensive information related to the latest advancements in this field for better understanding and future research activity. The current review detail about different AI technologies, advanced sensors, intelligent systems, and its applications in the food industry. It also apprises the distinct advantages and present limitations of AI and intelligent systems which pave the path of enormous possibilities of future research and development.
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