Exploring The Adoption of Artificial Intelligence in Palm Farming for Sustainable Agricultural Practices

Artificial Intelligence (AI) is slowly transforming agricultural activities, offering agriculture novel means to enhance efficiency, sustainability, and productivity. This paper presents the use of AI in palm farming through a qualitative research methodology employing semi-structured interviews among stakeholders for creating determinants influencing AI adoption. As proposed by the Unified Theory of Acceptance and Use of Technology (UTAUT), four fundamental determinants of nature—Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions—have been considered in the research as well as other determinants from the interview. They are Financial Barriers, Data Privacy Concern, Data Availability, and Trust and Acceptance of AI that are pivotal to the adoption level. Through expansion of the UTAUT model, the research formulates an integrated AI adoption model in agriculture. Implications for action are developed within the research by proposing financing subsidies, policy guidance, and farming training programs for the stimulation of AI adoption. The results findings to inform sustainable agriculture practices under which enguraging driven by AI provide long-term efficiency and resilience in palm cultivation.