Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations
Author:
Dadi Vasavi1, Nikhil Suryadevara Ram2, Mor Rahul S3, Agarwal Tripti1, Arora Sapna2
Affiliation:
1. Department of Agriculture & Environment Science , National Institute of Food Technology Entrepreneurship and Management , Kundli, Sonepat - 131028 , India 2. Department of FBM & ED, National Institute of Food Technology Entrepreneurship and Management , Kundli, Sonepat - 131028 , India 3. Department of Food Engineering, National Institute of Food Technology Entrepreneurship and Management , Kundli, Sonepat - 131028 , India
Abstract
Abstract
The agri-food sector contributes significantly to economic and social advancements globally despite numerous challenges such as food safety and security, demand and supply gaps, product quality, traceability, etc. Digital technologies offer effective and sustainable ways to these challenges through reduced human interference and improved data-accuracy. Innovations led by digital transformations in the agri-food supply chains (AFSCs) are the main aim of ‘Agri-Food 4.0’. This brings significant transformations in the agri-food sector by reducing food wastage, real-time product monitoring, reducing scalability issues, etc. This paper presents a systematic review of the innovations in the agri-food for digital technologies such as internet-of-things, artificial intelligence, big data, RFID, robotics, block-chain technology, etc. The employment of these technologies from the ‘farm to fork’ along AFSC emphasizes a review of 159 articles solicited from different sources. This paper also highlights digitization in developing smart, sensible, and sustainable agri-food supply chain systems.
Publisher
Stowarzyszenie Menedzerow Jakosci i Produkcji
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,Management Information Systems
Reference162 articles.
1. Abhijit, 2019. Applications of Artificial Intelligence (AI) in the Food Industry, 1-3, https://artificialintelligence.oodles.io/blogs/applications-of-artificial-intelligence-in-the-food-industry/ 2. Abraham, N., Ramar, R., Pandian, S., 2020. An efficient approach for rice prediction from authenticated Blockchain node using machine learning technique, Environmental Technology & Innovation, 101064. 3. Accorsi, R., Bortolini, M., Baruffaldi, G., Pilati, F., Ferrari, E., 2017. Internet-of-things paradigm in food supply chains control and management, Procedia Manuf., 11, 889-895. 4. Alfian, G., Syafrudin, M., Farooq, U., Ma’arif, M.R., Syaekhoni, M. A., Fitriyani, N. L., Rhee, J., 2020. Improving efficiency of RFID-based traceability system for perishable food by utilizing iot sensors and machine learning model, Food Control, 110, 107016. 5. Alfian, G., Rhee, J., Ahn, H., Lee, J., Farooq, U., Ijaz, M. F., Syaekhoni, M. A., 2017. Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system, Journal of Food Engineering, 212, 65-75.
Cited by
45 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|