Towards sustainable agriculture: key determinants of adopting artificial intelligence in agriculture
Amit Sood, Amit Kumar Bhardwaj, Rajendra Kumar Sharma
Abstract
With high analytical capability, Artificial Intelligence (AI) provides insights suitable to the context that add value to decision making and finds its applications in different sectors. Researchers envisage sustainable agriculture for meeting rising food demand of growing population with the use of AI. Using an algorithmic approach, this paper identifies key determinants influencing adoption of AI in agriculture through a systematic review of literature and a framework is proposed based on well-known theories of Information Systems. The identified factors were classified into five categories – individual characteristics, environmental factors, structural factors, technology factors and demographic factors. The authors indicate need for empowering facilitators for increasing adoption rate and highlight the importance of building trust among farmers for using new applications. The findings of this paper will enrich the understanding of researchers, AI solution developers and service-providers to customise the solution and devise communication strategies for increasing reachability to improve its adoption.