Aghababaei Ali, Aghababaei Fatemeh, Pignitter Marc, Hadidi Milad
Department of Information Engineering, University of Padova, Via Gradenigo, 6/b, 35131 Padova, Italy.
Aora Health, Calle Via de los Poblados, 17, 28033 Madrid, Spain.
Foods. 2025 Jan 27;14(3):411. doi: 10.3390/foods14030411.
The current landscape of the food processing industry places a strong emphasis on improving food quality, nutritional value, and processing techniques. This focus arises from consumer demand for products that adhere to high standards of quality, sensory characteristics, and extended shelf life. The emergence of artificial intelligence (AI) and machine learning (ML) technologies is instrumental in addressing the challenges associated with variability in food processing. AI represents a promising interdisciplinary approach for enhancing performance across various sectors of the food industry. Significant advancements have been made to address challenges and facilitate growth within the food sector. This review highlights the applications of AI in agriculture and various sectors of the food industry, including bakery, beverage, dairy, food safety, fruit and vegetable industries, packaging and sorting, and the drying of fresh foods. Various strategies have been implemented across different food sectors to promote advancements in technology. Additionally, this article explores the potential for advancing 3D printing technology to enhance various aspects of the food industry, from manufacturing to service, while also outlining future perspectives.
当前食品加工业的格局非常强调提高食品质量、营养价值和加工技术。这种关注源于消费者对符合高质量标准、感官特性和延长保质期的产品的需求。人工智能（AI）和机器学习（ML）技术的出现有助于应对与食品加工变异性相关的挑战。人工智能是一种很有前景的跨学科方法，可提高食品行业各个部门的绩效。在应对挑战和促进食品行业增长方面已经取得了重大进展。本综述重点介绍了人工智能在农业和食品行业各个领域的应用，包括烘焙、饮料、乳制品、食品安全、水果和蔬菜行业、包装和分拣以及新鲜食品干燥。不同食品部门已实施各种策略来推动技术进步。此外，本文探讨了推进3D打印技术以提升食品行业从制造到服务各个方面的潜力，同时还概述了未来展望。
