In developing countries such as Kenya, the slow adoption of emerging technologies by micro small and medium agribusiness organizations has been a subject of concern. No wonder, the Kenyan Government is putting emphasis on this sector. The available literature reveal that most micro small and medium agribusiness organizations are lagging behind the larger agribusiness firms in adoption of emerging technologies. This study sought to examine the factors that influence the adoption of Emerging Technologies by micro small and medium agribusiness organizations in Kenya with a focus on agribusiness organizations under two agribusiness value chain projects in Kenya. These projects are, Towards Sustainable Clusters in Agribusiness through Learning in Entrepreneurship and the Kenya Crop and Dairy Marketing System. The factors analyzed included, ICT Infrastructure, Cost of Technology, Top management Support and Government policies/regulations. The study employed a descriptive research design. The target population and sample were two senior managers from the thirty-seven micro small and medium agribusiness organizations targeted by the two projectsto make up seventy-four respondents who were surveyed and included in the study. Structured questionnaires were administered to the seventy-four managers to obtain data and data obtained and recorded in the google forms. Statistical Package for Social Scientists (SPSS) and python were used for data management, data entry, cleaning and analysis. These software’s, were used to conduct descriptive and inferential statistics including logistic regression. Tables, Graphs, Bar-Charts were used to present the study results. The findings reveal the level of ICT Infrastructure was found to have a significant positive influence (p=0.006) on adopting emerging technology, indicating that organizations or individuals with better ICT Infrastructure are more likely to adopt such technologies. However, the cost of emerging technology (p=0.065) and management support (p=0.479) was not found to have a statistically significant impact on adoption. Government policy and regulation were marginally significant at p=0.05, suggesting a moderate effect on technology adoption.