Using the Logit Model to Analyze the Structures Affecting the Adoption of Drone Technology Among Villagers

Subject Areas : Agricultural Extension and Education Research

Mojtaba Shekarbeigi ¹ , shahpar geravandi ² , Farahnaz Rostami ^{3 *}

1 - 1. MS. C. of rural Development, Department of Agricultural Extension & Education, Campus of Agriculture & Natural Resources, Razi University, Kermanshah, Iran
2 - Assistant professor, Department of Agricultural Extension & Education, Campus of Agriculture & Natural Resources, Razi University, Kermanshah, Iran.
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: Drone technology, prospective approach, logistic regression, retrospective approach, precision agriculture,

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.