16 pages., via online journal., The goal of this study was to evaluate a radio program as a source of agricultural information and examine the relationship between specific socioeconomic characteristics and listenership. The findings revealed that half of the farmers listen to the radio program, while older farmers are more likely to be listeners. Moreover, there are no significant differences between listeners and nonlisteners with respect to education level. More focus should be given to mountainous and less favored areas where more traditional information sources prevail. It is strongly recommended that the broadcast be sustained and improved based on farmers' suggestions and be regularly assessed.
14 pages., via online journal., This study has investigated farm households' simultaneous use of social networks, field extension, traditional media, and modern information and communication technologies (ICTs) to access information on cotton crop production. The study was based on a field survey, conducted in Punjab, Pakistan. Data were collected from 399 cotton farm households using the multistage sampling technique. Important combinations of information sources were found in terms of their simultaneous use to access information. The study also examined the factors influencing the use of various available information sources. A multivariate probit model was used considering the correlation among the use of social networks, field extension, traditional media, and modern ICTs. The findings indicated the importance of different socioeconomic and institutional factors affecting farm households' use of available information sources on cotton production. Important policy conclusions are drawn based on findings.
13 pages., via online journal., This study examined the feasibility of the use of mobile phones as an educational tool in agricultural extension services in the Guilan Province of Iran. A descriptive-survey methodology was employed on a sample population of 120 agricultural extension agents. Data were analyzed at descriptive and inferential levels using SPSS Statistics for Windows, Version 20 (IBM Corp., Armonk, NY, USA). The results of the factor analysis indicated that the application of mobile phones in extension activities was influenced by three factors: economic, skill, and infrastructure. These factors accounted for 52.3% of the variance. Moreover, the possibility for the development of mobile phones as an educational medium is impacted by social, financial-credit, information-communicational, psychological, and improper conditions factors that, in total, captured 70.4% of the variance.
