Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India
Sustainability
; 15(8):6377, 2023.
Article
in English
| ProQuest Central | ID: covidwho-2300157
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.
Environmental Studies; agriculture; agri-food supply chain; farmers; Artificial Intelligence; challenges; parameters; AI; ISM; SWARA; India; Pandemics; Farming; Standardization; Big Data; Social factors; Catalysts; Shortages; COVID-19; Agribusiness; Coronaviruses; Food; Food chains; Food supply; Agricultural production; Social interactions; Supply chains
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Sustainability
Year:
2023
Document Type:
Article
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