Low technology adoption continues to affect the production of maize in Ghana, including the Yendi municipality, which is one of the high maize producing areas. The study examined the factors influencing the adoption of improved maize farming technologies in the Yendi municipality. Data was collected from 154 randomly selected maize farmers using questionnaires and in-depth interviews. Descriptive statistics and Poisson Regression Model were used to analyze the demographic characteristics of maize farmers as well as the socioeconomic factors influencing the adoption of improved maize farming technologies. The study revealed that 59% of the maize farmers had no contact with agricultural extension agents, which could negatively affect adoption of improved maize farming technologies. The Poisson regression analysis showed that education, farm size, credit and extension contact significantly influenced the adoption of improved maize farming technologies in the area. Maize farmers therefore need to be adequately trained on the technologies to understand their full benefits to enable them adopt them fully. The study recommends that Ministry of Food and Agriculture (MoFA) together with Development Partners (DPs) should facilitate farmers’ access to credit and provide more logistics to facilitate access to extension services.