Research Area:  Artificial Intelligence

Abstract:

The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and opportunities in adopting AI-based advancement in agricultural systems and processes. The authors conducted a bibliometric analysis of the extant literature on AI in agriculture to understand the status of development in this domain. Further, the authors proposed a framework based on two popular theories, namely, diffusion of innovation (DOI) and the unified theory of acceptance and use of technology (UTAUT), to identify the factors influencing the adoption of AI in agriculture. Four factors were identified, i.e. institutional factors, market factors, technology factors and stakeholder perception, which influence adopting AI in agriculture. Further, the authors indicated challenges under environmental, operational, technological, economical and social categories with opportunities in this area of research and business. The proposed conceptual model needs empirical validation across countries or states to understand the effectiveness and relevance.

Keywords:  

Author(s) Name:  Amit Sood, Rajendra Kumar Sharma, Amit Kumar Bhardwaj

Publisher name:  Emerald

DOI:  https://doi.org/10.1108/OIR-10-2020-0448

Volume Information:  

Paper Link:   https://www.emerald.com/insight/content/doi/10.1108/OIR-10-2020-0448/full/html