Investigating the effective factors on the use of training based on information and communication technology in agriculture of North Khuzestan

Due to various limitations in order to provide face-to-face training to farmers, it is more important to use methods that can make access to new sciences possible with minimal time and cost. One of these methods is the use of information and communication technology, which is significantly expanding in the agricultural sector. Therefore, it is necessary to know the factors affecting the use of these technologies. The purpose of this study was to investigate the factors affecting the use of these technologies among farmers in northern Khuzestan in 1399. A sample of 150 people was selected using cluster sampling method and SPSS software and logistic regression were used to analyze the data. The results showed that the age variable has a significant decreasing effect on the use of training based on information and communication technologies and for each year of decreasing age, these trainings increase by 0/03 units. For one hour of increase in extension training, 0/04 units and for each increase of farmer income, use of training increased by 0/14 units. The effect of land size and membership in cooperatives on the use of ICT-based training was insignificant. The predictive sensitivity of the regression model was 0.75.8 and its detectability was 0.81.8 respectively. In general in 0.79.3 cases, the estimated model correctly predicted the categories. Due to the greater impact of farmer income on the use of ICT-based training, it is suggested that the cost of the Internet for web-based agricultural training platforms be reduced as much as possible.