11 pages., Authors focus on the Australian perspective and draw on a detailed global context to better understand how research might inform the use of creative non-fiction storytelling to aid new technology development.
Social Networks like Facebook, Twitter, YouTube and WhatsApp are now becoming very popular tools that are used for sharing the latest and important farming based information in different part of India. These tools are now widely used by Agricultural Extension and Advisory services to interact with the farmers for exchanging agricultural related information in India. The most influential farmers in a network can disseminate the information to the less central farmers of the network. The extension functionaries that promote the agricultural innovation will share the information with the most central members which in turn will share it with maximum number of the members of a social network. Social Network Analysis (SNA) acts as an efficient analytical tool that helps us to understand the relationship between farmer stakeholders and the importance of a farmer's position in the entire network. In this paper, a structural analysis of the Social Network is performed over two datasets, namely, Facebook-like dataset and Twitter Lists dataset. Here, we have studied the importance of individual nodes in the network through various centrality measures. SNA properties like centralities are used to represent the most central nodes that can act as a good influence spreader in the network. In this paper, initially the k-core decomposition method is used to find a set of influential nodes among all the nodes in the network. It is done to reduce the computational time. Our simulation shows that the nodes with higher Page Rank centrality can activate more members in a network as compared to other centrality measures. For Information diffusion, we have used Linear Threshold (LT) Model to understand the influence spread of the central farmers in the network.
6 pages, Understanding relationships between demographic and economic factors and equestrian participation could improve horse program design. We implemented an online survey that characterized associations of participation in equine activities, socioeconomic factors, and economic factors with age. Seventy-five percent of respondents ride, and 34% are recreational, non-competitive participants. Respondents were mostly female, and many participate in the sport throughout life. Many respondents indicated they overspent on equestrian activities. Horse programs should incorporate information and activities that address issues unique to females, should develop skills required by amateur or recreational riders, and should incorporate information on financial wellness.
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ABSTRACT
Purpose: To identify and understand factors influencing farmers’ decisions to engage with extension activities. To understand farmer segments and how these factors vary in order to develop recommendations for future extension delivery.
Methodology: Qualitative data was obtained through semi-structured interviews with 30 Tasmanian dairy farmers. The Theory of Planned Behaviour (TPB) framework was used to identify and explore factors influencing farmer engagement intentions and behaviour.
Findings: There was a negative effect of social influence on experienced farmers’ intention to re-engage with extension, due to the belief extension activities were targeted to less experienced, younger farmers. Perceived control factors limiting engagement included lack of confidence about existing knowledge, resulting in farmers perceiving extension activities as confronting.
Practical implications: Key factors influencing intention to engage and continued engagement with extension were identified. These findings will inform future design and targeting of extension activities to improve initial and continued engagement. Subsequent recommendations are presented.
Theoretical implications: Previous TPB studies on adoption as an outcome of extension have typically focused on quantifying adoption predictions, rather than exploring how social factors interact and influence intentions and behaviours. This paper demonstrates how the TPB can be qualitatively applied to better understand farmer decision making, in this instance with respect to their initial and continued engagement with extension.
Originality/value: This paper demonstrates how the TPB can provide an evidence-based framework to qualitatively explore farmer intentions and behaviour. This approach has led to new insights into farmer decision making that will inform improvements in future extension development.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 95 Document Number: C07346
Notes:
Evans, see C07347-C07352, In: Cernea, M.M., J.K. Coulter, and J.F.A. Russell (eds.) Research, extension, farmer : a two-way continuum for agricultural development. Washington, D.C.: World Bank, 1985. p. 13-22
11 pages, This study examined village extension agent’s access and use of information and communication technology in extension services delivery to farmers in Plateau State, Nigeria. The population for the study consisted of all the village extension agents (VEAs) of the Plateau Agricultural Development Program (PADP) in the central agricultural zone of the state. Multistage sampling technique was employed in selecting the respondents for the study. Primary data were collected through the administration of questionnaires and interview techniques and were analyzed using descriptive and inferential statistics. Findings from the study shows that majority (77%) of the sampled village extension agents (VEAs) were males with a mean age of 43 years, Majority (87%) of the respondents were married with a mean household size of 4 persons. The study also showed that majority (80%) of the VEAs had tertiary education with a mean working experience of 13 years and average monthly income of ₦64875. The result also shows that four (4) out of the seven (7) listed ICT facilities were adjudged the ICT facilities accessible to VEAs in the study area having had mean values above the discriminating index (x̅ =2.50). They included; GSM (phone) (x̅ =3.94), radio (x̅ = 2.83), television (x̅ = 2.73) and computer (x̅ = 2.68). Based on 2.50 discriminating index, only two out of seven listed conventional ICT facilities had mean values above the discriminating index (x̅ 2.50) and thus were adjudged the ICT facilities used by VEAs. The GSM (phone) had the highest mean value of 3.62 followed by radio with mean value of 2.54. The logit regression result shows that coefficients of years of working experience and monthly income were significant and positively related to ICT use, while age and complexity in use of ICT were significant and negatively related to ICT use. Major constraints to use of ICT by VEAs includes; lack of administrative support in provision of ICT (87%), lack of in-service training on ICT use (66%), Poor salary/remuneration (64%), lack of awareness of ICT importance in extension (56%) among others. The study recommends intervention, serious synergy, and proactive response on the part of the government, non-governmental organization,s and extension organizations in ICT provision and training of VEAs on ICT use as well as stepping up campaigns on the importance of ICT use in agricultural extension delivery.
Report of the Online Farm Trials Project developed to "bring national grains research data and information directly to the grower, agronomist, researcher, the grains industry, and the community through through innovative online technology."
