Internet of Things

Shee, Himanshu

doi:10.1007/978-3-030-89822-9_78-1

Cited by 5 publications

(1 citation statement)

References 34 publications

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“…AI tools might help with accurate crop monitoring and, to a significant part, solve the labour shortage problem in agriculture. With advancements in the IT infrastructure [138,139], the potential of AI technology in agriculture adds to greater agricultural growth.…”

Section: Discussionmentioning

confidence: 99%

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

Mishra¹,

Muduli

Raut

et al. 2023

Sustainability

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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.

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Section: Discussionmentioning

confidence: 99%