Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/579
Title: Artificial Intelligence: A Quantitative Analysis Of The Food Supply Chain Among Major Ports In India
Authors: Singh, Barinderjit
Srivastava, Yashi
R, Shekhar
Singh, Sanjit
Venkatachari, Kavitha
Keywords: Artificial intelligence
Future revolution
Food supply chain
Key areas of operation
Issue Date: 30-Dec-2022
Publisher: Elsevier
Abstract: Supply chain management, the fastest-growing industrial business sector, needs to be rejuvenated with technologies in the future. This study aimed to identify whether artificial intelligence is going to be the key player in the future food supply chain management in India. Ports are considered the fertile land of supply chain experts with vast knowledge about AI; however, AI has been deployed only to some limited areas of operations in Indian ports. These factors prompted the researcher to deploy his study among the supply chain experts in Indian ports and to find solid answers to the research questions formulated by the researcher. So, this research work explores AI's role in bringing up a smart and efficient food supply chain in the future. At the same time, this study sees insights into the challenges and major driving forces that will enable the future AI-enabled food supply chain revolution. Through the study, the researcher aims to highlight the key areas where AI can be used for maximum benefits. The worldwide craving for the best food supply chain management will find answered through this research.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/579
ISSN: 1006-3080
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
976.pdf
  Restricted Access
Article873.48 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.