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Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India

Author

Listed:
  • Debesh Mishra

    (Sri Polytechnic, Komand 752090, India)

  • Kamalakanta Muduli

    (Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae PMB 411, Morobe Province, Papua New Guinea)

  • Rakesh Raut

    (Department of Operations and Supply Chain Management, National Institute of Industrial Engineering (NITIE), Mumbai 400087, India)

  • Balkrishna Eknath Narkhede

    (Industrial Engineering & Manufacturing Systems, National Institute of Industrial Engineering (NITIE), Mumbai 400087, India)

  • Himanshu Shee

    (Supply Chain and Logistics Management, College of Business, Victoria University Business School, Melbourne 3000, Australia)

  • Sujoy Kumar Jana

    (Department of Surveying and Land Studies, Papua New Guinea University of Technology, Lae PMB 411, Morobe Province, Papua New Guinea)

Abstract

The coronavirus (COVID-19) pandemic has witnessed a significant loss for farming in India due to restrictions on movement, limited social interactions and labor shortage. In this scenario, Artificial Intelligence (AI) could act as a catalyst for helping the farmers to continue with their farming. This study undertakes an analysis of the applications and benefits of AI in agri-food supply chain, while highlights the challenges facing the adoption of AI. Data were obtained from 543 farmers in Odisha (India) through a survey, and then interpreted using “Interpretive Structural Modelling (ISM)”; MICMAC; and “Step-Wise-Assessment and Ratio-Analysis (SWARA)”. Response time and accuracy level; lack of standardization; availability of support for big data; big data support; implementation costs; flexibility; lack of contextual awareness; job-losses; affordability issues; shortage of infrastructure; unwillingness of farmers; and AI safety-related issues are some challenges facing the AI adoption in agri-food supply chain. Implications were drawn for farmers and policy makers.

Suggested Citation

  • Debesh Mishra & Kamalakanta Muduli & Rakesh Raut & Balkrishna Eknath Narkhede & Himanshu Shee & Sujoy Kumar Jana, 2023. "Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6377-:d:1118474
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    1. Debesh Mishra & Biswajit Mohapatra & Abhaya Sanatan Satpathy & Kamalakanta Muduli & Binayak Mishra & Swagatika Mishra & Upma Paliwal, 2024. "The pandemic COVID-19 and associated challenges with implementation of artificial intelligence (AI) in Indian agriculture," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2715-2729, June.

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