Your browser doesn't support javascript.
loading
The Application of Artificial Intelligence and Big Data in the Food Industry.
Ding, Haohan; Tian, Jiawei; Yu, Wei; Wilson, David I; Young, Brent R; Cui, Xiaohui; Xin, Xing; Wang, Zhenyu; Li, Wei.
Afiliação
  • Ding H; Science Center for Future Foods, Jiangnan University, Wuxi 214122, China.
  • Tian J; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.
  • Yu W; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.
  • Wilson DI; Department of Chemical & Materials Engineering, University of Auckland, Auckland 1010, New Zealand.
  • Young BR; Electrical and Electronic Engineering Department, Auckland University of Technology, Auckland 1010, New Zealand.
  • Cui X; Department of Chemical & Materials Engineering, University of Auckland, Auckland 1010, New Zealand.
  • Xin X; Science Center for Future Foods, Jiangnan University, Wuxi 214122, China.
  • Wang Z; School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China.
  • Li W; Science Center for Future Foods, Jiangnan University, Wuxi 214122, China.
Foods ; 12(24)2023 Dec 18.
Article em En | MEDLINE | ID: mdl-38137314
ABSTRACT
Over the past few decades, the food industry has undergone revolutionary changes due to the impacts of globalization, technological advancements, and ever-evolving consumer demands. Artificial intelligence (AI) and big data have become pivotal in strengthening food safety, production, and marketing. With the continuous evolution of AI technology and big data analytics, the food industry is poised to embrace further changes and developmental opportunities. An increasing number of food enterprises will leverage AI and big data to enhance product quality, meet consumer needs, and propel the industry toward a more intelligent and sustainable future. This review delves into the applications of AI and big data in the food sector, examining their impacts on production, quality, safety, risk management, and consumer insights. Furthermore, the advent of Industry 4.0 applied to the food industry has brought to the fore technologies such as smart agriculture, robotic farming, drones, 3D printing, and digital twins; the food industry also faces challenges in smart production and sustainable development going forward. This review articulates the current state of AI and big data applications in the food industry, analyses the challenges encountered, and discusses viable solutions. Lastly, it outlines the future development trends in the food industry.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article