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Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective

Author

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  • Sumanta Das

    (IIT Bhubaneswar)

  • Akhilesh Barve

    (MANIT Bhopal)

  • Naresh Chandra Sahu

    (IIT Bhubaneswar)

  • Kamalakanta Muduli

    (Papua New Guinea University of Technology)

Abstract

The majority of the food grain supply chain (FGSC) is run in a linear fashion, requiring substantial inputs that produce mostly inedible by-products, environmental damage and wastage. Moreover, population increase, declining food resources, shifting weather patterns, and dwindling supplies pose serious problems to the FGSC. Effective usage and consumption of resources to harmonize ecological, economic, and social elements is the need of the hour from the Agri 5.0 and circular economy (CE) perspective. Fortunately, modern technological developments like artificial intelligence (AI) might represent a paradigm change in this context. However, enablers for AI adoption haven't been studied sufficiently despite AI's popularity. Hence, the fundamental objective of this research is to identify and examine key enablers that facilitate rapid AI adoption in FGSC, empowering Agri 5.0 and CE in India. The primary facilitators for AI adoption have been explored via a literature review and expert interviews followed by a questionnaire survey. The fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) approach was then used to create a causal model of the identified enablers. The F-DEMATEL method helps resolve the uncertainty of researching enabler interactions. Research findings suggest that “Legal and regulatory interventions from the government (E7)” and “Green IoT-driven total automation (E5)” have a significant influence in integrating AI in FGSC. The results have major ramifications for policymakers. The results may be used to justify future investments and will also aid decision-makers in India in advancing AI initiatives.

Suggested Citation

  • Sumanta Das & Akhilesh Barve & Naresh Chandra Sahu & Kamalakanta Muduli, 2023. "Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective," Operations Management Research, Springer, vol. 16(4), pages 2104-2124, December.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-023-00390-z
    DOI: 10.1007/s12063-023-00390-z
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    Cited by:

    1. Yuchi Zhang, 2024. "A path to sustainable development of agri‐industries: Analysis of agriculture 5.0 versus industry 5.0 using stakeholder theory with moderation of environmental policy," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(5), pages 4829-4843, October.
    2. C. Ganeshkumar & Nitish Kumar Singh & Rahul S. Mor & Anupama Panghal, 2023. "Investigating the Adoption Barriers to Industry 4.0 Technologies in Farmer Producer Organisations," International Journal of Global Business and Competitiveness, Springer, vol. 18(2), pages 162-174, December.

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