Identification of challenges of precision farming from farming experts on Ardabil province

Document Type : Original Article

Author

Department of Agriculture, Pars Abad Moghan Branch, Islamic Azad University, Pars Abad Moghan,Iran.

Abstract

Increment of food need due to the population growth of hungry people, lack of resources, less of underground water level contamination of environment decrease of fertility of agriculture sail, have made pressure to the developing countries. In order to deal with this problems introduction and acceptance of compatible modern technologies with environment seems to be necessary and precious farming provide such technologies. Thus the aim of the present study was to investigate challenges of precision farming from farming experts on Ardabil province. This study is practical, quantitative, past event, analytical and co relational which was done during 91-90. Participants of the study were farming experts of agricultural organization research center, agricultural training center of Ardabil (N=365) and sample size was determined using Korcan formula, which were selected randomly(n=169). Apparent and content validity of this research was determined using viewpoints of faculty members and agricultural machinery group in promoting Islamic Azad Universities Ardabil and Abhar branches and doing necessary reformation. Scout’s test was used to obtain reliability and Cronbach’s Alpha coefficient was 0.79 Multivariate regression analysis is done to predict changes in the views of experts about the implementation of exact farming. Results of factor analysis of affecting challenge and obstacles on the implementation of exact farming showed that four, agricultural and promotional, financial and instrumental barriers explained 62/75 percent of total variance of experts’ view variable in relation to the implementation of precision farming and these barriers, prediction factor with 16/88 variance value has the highest proportion and financial and instrumental variable with 14/48 variance value has the least proportion in the explanation of experts viewpoints in relation to the implementation of precision farming.

Keywords


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