12 pages., via online journal., In recent years, there has been extensive investment in e-governance throughout the developing world. Still, little is known about the impact of those investments, partly due to a lack of assessment guidance. In this study modified sustainable livelihood framework approach was used for studying impact of the project on farmers. Before and after data was collected from the registered farmers using recall method to assess the impact of the project on all five types of capital (Natural capital, financial capital, human capital, physical capital and social capital). It was found that after implementation of the project, in the category of natural capital, average production and average sold quantity of rice, wheat, pigeon pea, mustard, and green gram has been significantly increased and in the category of financial capital, respondents’ average family income, earning from agriculture and allied sector and benefit from government schemes has been significantly increased and in the category of human capital, average number of training received by respondents and average number of extension contacts made by respondents has been significantly increased and in the category of physical capital, average storage facility has been increased by respondents and in the category of social capital, average number of meetings attended by respondents in Krishi Gyan Kendra has been significantly increased.
10 pages., via online journal., Purpose: Agricultural extension graduates do not get jobs and farmers are not getting agricultural
extension services, and therefore, both the farmers and agricultural graduates do not receive benefi ts.
The study assessed the interest of agricultural extension students in providing private extension services
to farmers, examined their perception towards private extension services and identifi ed extension skills
possessed by the students.
Research Method: The study comprised all the fi nal year students in the Universities in Osun State. A
two – stage sampling procedure was used to select the respondents. One university was selected from
each category of federal, state and private. A total of 68 respondents were selected and interviewed.
Data collected were analyzed with descriptive and inferential statistics.
Findings: The results show that the mean age, mean years of formal education of the respondents
were 23.75 ± 2.02 and 17.40 ± 1.16, respectively. About half (51.5%) of the respondents had positive
perception towards the private extension service while 57 percent had high interest in providing private
extension services. Majority of them possessed teaching skills (97.1%), innovation dissemination
skills (95.5%) and communication skills (88.2%). Also, sources of agricultural information available
(χ2=22.448), types of sponsors (χ2=6.102) and marital status (χ2=16.535) had a signifi cant association
with respondents’ interest in providing private agricultural extension services.
Research Limitation: The study focuses on the interest of agricultural extension graduates to provide
private extension services; however, these graduates may have an interest in other areas that have not
been investigated.
Original Value: The study provides an insight to show the interest and capability of agricultural students
to be engaged in private extension services as a livelihood
6 pages., via online journal., This research was conducted to find out the influence of agents on the results of empowerment of farmers, the effect of recipients on the results of the farmer empowerment, the effect of agricultural extension on the results of the farmer empowerment, and the influence of agents, recipients, and agricultural extension on the results of farmer empowerment. This research was carried out in May to July 2017. Quantitative descriptive method was applied by using primary and secondary data. Primary data obtained from interviews with 24 respondents who applied integrated crop management technology (PTT) on paddy fields. Technique of interview was guided with questionnaires while secondary data was taken from some literature work and relevant agencies. The results showed that: there is positive and significant influence between the agents and farmer empowerment, there is positive and significant influence between the recipients on the farmer empowerment, there is positive and significant influence between agricultural extension on the results of the farmer empowerment, and there is positive and significant influence between the agents, recipients, and agricultural extension on the results of farmer empowerment.
8 pages., via online journal., ow internet usage by extension agent, impact on the inhibition of the flow of information to the farmers and lead to the income received by farmers. In the digital era today, if the extension agent is not encouraged to use the internet then they will be left behind and will be left out by the farmers. This study aimed to (1) analyze the internet availability in Lampung Province (2) to analyze the level of internet usage for extension agent in Lampung and (3) to analyze factors influencing internet usage of extension agent. This research was conducted in Lampung Province with analysis unit of extension agent in the office of BP3K (Extension Agency of Agriculture, Fisheries, and Forestry) which has been facilitated by computer and internet network. Respondents consisted of 355 extension agent served in BP3K. Multiple Linear Regression Analysis was used to determine the effect of independent variables on the dependent variable. The availability of facilities and internet network in Extension Offices is not sufficient even extension agent used their private facilities. The Internet network had reached the remote areas very well in spreading and transmitting information. Almost all extension agent have internet-connected devices and internet-based applications. Extension agents facilitated by computer and internet network communicating using social media, however capabilities in using the internet to search information related agricultural technology remained low. The use of the internet by extension agent was influenced by the nature of internet innovation, the number of Internet-based applications and the amount of existed hardware.
