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Abstract Over the years many studies have been conducted on innovation and uptake of new technologies in developing countries. In addition, the process of adoption and the impact of adopting new technology on smallholder farmers have been studied. However, new agricultural technologies are often adopted slowly, and several aspects of adoption remain poorly understood despite being seen as an important route out of poverty in most of the developing countries. Therefore, this study conducted a comparative analysis of agricultural technology dissemination approaches (Farmer field school, Field demonstration, Harvest days, Training of trainers, Video screening, Mobile applications, and Posters) to determine the best of these approaches for disseminating agricultural technology components, determination of factors impact on the decision to adopt the dissemination approaches, and study its impact on yield and net income to the respondents’ farmers. A representative sample of 2532 farm households and 2856 wheat fields was drawn for this study using a stratified sampling approach in which provinces, districts, and villages were used as strata. The total sample was distributed proportionally across 279 villages distributed across 53 districts that were randomly drawn from the 10 study provinces. Structured survey questionnaires were used to collect socio-economic data, the questionnaire was downloaded to ODK program which was installed on the tablet to collect the data. Data were analyzed using STATA 18 for descriptive and econometric statistics. The results of the Probit model showed the common determinants that affect farmers’ decision to adopt different dissemination approaches, which are: the number of visits to/by extension agents and researchers, project governorates led to an increase in farmers’ decision to participate, the second year of the project led to an increase in farmers’ decision to participate, and the season/timing in which dissemination method approach was conducted. The results also showed that video screenings had the highest impact on farmers’ adoption of the components of the agricultural technology package (improved varieties, agricultural rotation, raised bed) by (15.6%, 17.4%, and 42%) respectively. The results of the Cobb-Douglas production function showed that the farmers participating in the farmer field school approach had increased their production by 4% and their net income by 6.5% at a significance level of 1%. |