Perceptions of facilitators towards adoption of AI-based solutions for sustainable agriculture

JOURNAL OF DECISION SYSTEMS(2023)

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Abstract
Earth is now a habitat of eight billion human beings who depend on the limited resources available on the planet to survive. The increasing population is constantly exerting pressure on present agricultural production systems and demands for increased production to ensure food security across globe. Despite the large number of perceived benefits and government plans for using digital technologies, the adoption level of AI-based solutions in agriculture is quite low. To understand and evaluate the perspectives of facilitators involved in the diffusion of new agricultural technologies, this study uses an integrated framework built on three eminent theories. Using survey data of facilitators from Northern India, this paper examines the interaction of independent variables influencing adoption of AI-based solutions and validates the proposed framework using Structural Equation Model. The results show that facilitating conditions and compatibility of AI-based solutions directly influence its adoption intention paving the way to sustainable agriculture.
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Key words
Artificial intelligence,sustainable agriculture,adoption,structural equation modelling,exploratory factor analysis
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