Document Type : Original Article


Department of Water Engineering and Agricultural Management, Faculty of Agricultural Sciences and Natural Resources, University of Mohaghegh Ardabili, Iran


This study aimed to investigate potato growers’ attitudes towards and perceptions of the drivers and barriers of precision irrigation technologies (PIT). A survey research method was employed for data collection from a sample of 240 potato growers of Ardabil County. A questionnaire was used as the research instrument. It was validated by a panel of experts. Cronbach’s alpha was calculated to be 0.813, 0.870, and 0.766, implying the high reliability of the instrument for attitudes, drivers, and barriers, respectively. Results showed that the respondents were in middle age with good farming experiences. The majority of them were lowly literate. Their knowledge was low on working with PIT. More than half of them had moderate to high negative attitudes, while the attitudes of the rest were somewhat very positive. Attitudes showed a significant and positive correlation with level of education, income, and knowledge of PIT. However, age, farming experience, and cultivated areas showed a negative correlation with attitudes. Based on regression analysis, the variables of level of education, knowledge of PIT, and information sources accounted for 46.5 percent of the variance in farmers’ attitudes. The sample was divided into two subgroups of 120 farmers, one for responding to the items of drivers and the other for responding to the items of the barriers. Factor analysis extracted three factors with eigenvalues of greater than one, namely water efficiency, easy farming practices, and financial benefit, which accounted for 63.18 percent of the variance in drivers, and the five factors of knowledge, technical, skill, managerial, and logistic barriers accounted for 63.12percent of the variance in barriers.


  • Potato growers' attitude and perception of drivers and barriers of PIT were investigated
  •   Farmers showed low knowledge of working with PIT.
  • Water efficiency, easy farming practices, and financial benefit accounted for 63.18% of the variance in drivers.
  • Knowledge, technical, skill, managerial and support barriers accounted for 63.12% of the variance in barriers.


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