Abstract:
In Ethiopia, soil erosion is a severe problem and a major cause of the decline of agricultural 
productivity. Interventions were taken by introducing SWC practices. However, the adoption 
rates of these practices remain below the expected levels in Ethiopia and particularly in the 
study area. This study aims to identify determinants of adoption of SWC practices in study area. 
Descriptive and explanatory method of research design, as well as the mixed type of research 
approach was employed. Both quantitative and qualitative data were collected from primary and 
secondary source. Multistage sample methodnumbers of 190 survey responses in the study 
area.From the total sample respondents (83.7%) were SWC adopters and (16.3%) of the 
respondents were non-adopters. In addition to this, the semi structure survey schedule interview 
face to face respondent, key informal interview and focus group discussion with triangulations 
primary data was used to strengthen the information that has been collected. The data has been
analyzed through, descriptive statistics and binary logistic econometric model. Descriptive
statistics such as frequency, mean, standard deviation, percentage and also, inferential statistics 
such as t-test and chi-square were used for analyzing the data.The logistic model results showed 
that education level, number of family size, plot land holding, number livestock holding, access 
to training, distance from home to farm plot, access to extension, access to credit and slope land 
at 5% significantly determine the adoption of SWC practices in the study area. Sex and marital 
status indicates that at slightly 10% significantly determine the adoption of SWC practices in the 
study area while off farming income and perception of HH on erosion condition 1% significantly 
determine the adoption of SWC practices in the study area. Recommended the government, NGO
and stockholders should consider these factors affect to enhance farmers‟adoption of introduced
SWC practices and to promote agricultural productivity and environmental quality.