Modeling factors affecting the acceptance of drone technology among Kermanshah potato farmers (Logit model application)

Subject Areas : Agricultural Extension and Education Research

Mojtaba  Shekarbeigi ¹ (1. MS. C. of rural Development, Department of Agricultural Extension & Education, Campus of Agriculture & Natural Resources, Razi University, Kermanshah, Iran)
shahpar  geravandi ² (Assistant professor, Department of Agricultural Extension & Education, Campus of Agriculture & Natural Resources, Razi University, Kermanshah, Iran)
Farahnaz  Rostami ³ (. Assistant professor, Department of Agricultural Extension & Education, Campus of Agriculture & Natural Resources, Razi University, Kermanshah, Iran)

Received: 2022-11-23 Accepted : 2023-05-28 Published : 2023-05-22

Keywords: logistic regression, drone technology, precision agriculture, prospective approach, retrospective approach,

Abstract :

Agricultural development is one of the most important priorities in the national development programs of developing countries. This cannot be achieved without applying and using new technologies in the agricultural sector through precision agriculture. Since the acceptance and application of this type of technology is facing challenges and obstacles; The aim of this quantitative study is to "investigate the factors influencing the adoption of UAV technology in two retrospective and prospective perspectives". The required information was collected in the form of questionnaires made by the researcher among the potato farmers of Kermanshah city. In order to analyze the data, the statistical method of logistic regression was used. The findings indicated that only three variables of perceived risks, the intention to use drones and the perceived need for technology were effective on the acceptance of drone technology, so that by reducing each of these variables, the possibility of increasing the adoption of drone technology among farmers. Potatoes work more. Therefore, holding promotional courses and granting financial facilities to potato farmers can be effective in facilitating the adoption of drone technology.