人工智能在食品加工中的应用现状与展望

IF 5.3 2区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Thingujam. Bidyalakshmi, Bikram Jyoti, Shekh Mukhtar Mansuri, Ankur Srivastava, Debabandya Mohapatra, Yogesh B. Kalnar, K. Narsaiah, Navanath Indore
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引用次数: 0

摘要

人工智能(AI)是模仿人类智能或人脑认知能力的尖端技术。通过人工智能,机器已经能够执行以前只有人类才能完成的任务。本文探讨了人工智能在农业中的广泛应用,从收获前操作到收获后活动。这些应用包括精准农业、可控环境农业、食品加工、收获后处理和储存。将人工智能融入食品加工业的每个阶段,大大提高了效率、产品数量和质量。这项工作全面总结了人工智能在食品加工行业的应用,深入研究了为应对食品供应链中深刻影响食品加工行业的挑战而开发的各种方法。重点是人工智能技术如何彻底改变和优化食品加工中的不同单元操作。通过利用人工智能的潜力,工业在产量、最小化浪费和简化生产流程方面取得了进步。本文强调了人工智能在塑造农业和食品加工未来方面的转型作用,强调了其在缓解粮食生产、分配和可持续性方面的紧迫挑战方面的潜力。此外,它强调需要继续进行研究和开发,以确保负责任和合乎道德地采用人工智能,同时利用其好处来满足全球人口日益增长的需求。总体而言,该研究旨在有助于更深入地了解人工智能在重塑食品加工格局和确保子孙后代粮食安全方面的革命性影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Application of Artificial Intelligence in Food Processing: Current Status and Future Prospects

Application of Artificial Intelligence in Food Processing: Current Status and Future Prospects

Artificial intelligence (AI) is a cutting-edge technology that emulates human-like intelligence or human brain-like cognitive abilities. Through AI, machines have become capable of performing tasks previously reserved for human expertise. This paper explores the vast array of applications for AI in agriculture, spanning from pre-harvest operations to post-harvest activities. The applications encompass precision farming, controlled environment agriculture, food processing, post-harvest handling, and storage. Integrating AI into each stage of the food processing industry has led to substantial enhancements in efficiency, product quantity, and quality. This work provides a comprehensive summary of the applications of AI in the food processing industry, delving into the various methodologies developed to address challenges within the food supply chain that profoundly impact the food processing sector. The focus is on how AI technologies have revolutionized and optimized different unit operations in food processing. By harnessing AI's potential, industries have experienced improvements in yield, minimized waste, and streamlined production processes. The paper underscores the transformational role of AI in shaping the future of agriculture and food processing, highlighting its potential to alleviate pressing challenges in food production, distribution, and sustainability. Moreover, it emphasizes the need for continued research and development to ensure responsible and ethical AI adoption while harnessing its benefits to meet the growing demands of a global population. Overall, the study aims to contribute to a deeper understanding of AI's revolutionary impact in reshaping the food processing landscape and ensuring food security for future generations.

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来源期刊
Food Engineering Reviews
Food Engineering Reviews FOOD SCIENCE & TECHNOLOGY-
CiteScore
14.20
自引率
1.50%
发文量
27
审稿时长
>12 weeks
期刊介绍: Food Engineering Reviews publishes articles encompassing all engineering aspects of today’s scientific food research. The journal focuses on both classic and modern food engineering topics, exploring essential factors such as the health, nutritional, and environmental aspects of food processing. Trends that will drive the discipline over time, from the lab to industrial implementation, are identified and discussed. The scope of topics addressed is broad, including transport phenomena in food processing; food process engineering; physical properties of foods; food nano-science and nano-engineering; food equipment design; food plant design; modeling food processes; microbial inactivation kinetics; preservation technologies; engineering aspects of food packaging; shelf-life, storage and distribution of foods; instrumentation, control and automation in food processing; food engineering, health and nutrition; energy and economic considerations in food engineering; sustainability; and food engineering education.
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