Work

Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics

Year: 2021

Type: article

Abstract: The agri-food sector is an endless source of expansion for nourishing a vast population, but there is a considerable need to develop high-standard procedures through intelligent and innovative technologies, such as artificial intelligence (AI) and big data. This paper addresses the research concerning AI and big data analytics in the food industry, including machine learning, artificial neural networks (ANNs), and various algorithms. Logistics, supply chain, marketing, and production patterns are covered along with food sub-sector applications for artificial intelligence techniques. It is found that utilization of AI techniques and the intelligent optimization algorithm also leads to significant process and production management. Thus, digital technologies are a boon for the food industry, where AI and big data have enabled us to achieve optimum results in realtime.

Source: Logistics

DOI: 10.3390/logistics5040066

Authors: Saurabh Sharma, Vijay Kumar Gahlawat, Kumar Rahul, Rahul S Mor, Mohit Malik

Institution: National Institute of Food Technology Entrepreneurship and Management

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,080