18 pages, Digital agriculture has been developing rapidly over the past decade. However, studies have shown that the need for more ability to use these tools and the shortage of knowledge contribute to current farmer unease about digital technology. In response, this study investigated the influence of communication channels—mass media, social media, and interpersonal meetings—on farmers’ adoption, decision-making, and benefits obtained using technologies. The research uses data from 461 farmers in Brazil and 340 farmers in the United States, leaders in soybean production worldwide. The results show differences and similarities between these countries. LinkedIn has the highest positive association in Brazil between the communication channels and the digital agriculture technologies analyzed. In the United States, YouTube has the highest positive correlation. The overall influence of social media among Brazilian farmers is higher than among American farmers. The perceived benefits of using digital tools are more strongly associated with mass media communication in the United States than in Brazil. Regarding farm management decision-making, the study showed a higher relevance of interpersonal meetings in Brazil than in the United States. Findings can aid farmers, managers, academics and government decision makers to use communication channels more effectively in evaluating and adopting digital technologies.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes2 Document Number: D01239
Notes:
Kerry J. Byrnes Collection, Center for Development Information and Evaluation Agency for International Development, Washington, DC, 121 pages., This report reviews Agency for International Development (AID) experience in implementing farming systems research and extension (FSR/E) projects. Drawing on evaluation reports, case studies were prepared on 12 AIS-funded FSR?E projects implemented between 1975 and 1987: 7 in Africa, 2 in Asia, and 3 in Latin America and the Caribbean.
Solanki, Surabhi (author) and Verma, Seema (author)
Format:
Conference proceedings
Publication Date:
2019-06
Published:
Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 121 Document Number: D11119
Notes:
8 pages., Proceedings of International Conference on Sustainable Computing in Science, Technology and Management., In any country, agriculture plays important role in the prospect of economy and sustainability. As technology grow day by day so it is necessary for the farmer to know about the technology, innovations and take them into practice, so they make strong themselves in terms of economic and sustainability. In this paper discussed the intensity exposure to information and communication technology and its relationship to the characteristics of farmers at different stages of adoption use of information and communication technology for different farm practices and also know the preferences of farmers regarding the use of Information & Communication Technology (ICT). In the continuation of this process conduct the personal interview to collect personal details of farmers as well as farm information that associate them to know about the adoption of information technology. The data collected through personal interview of farmers have been classified, tabulated and analyzed to know how efficiently and effectively information and communication technology disseminate farm information to the farmer.
17 pages, The positive spillover impacts of the efficiency of information and communication technology (ICT) and land accessibility as factor inputs to agricultural productivity are well documented in the literature. Furthermore, input-output efficiency as a measurement of factors contributing towards gross production is no exception in this regard. Few studies on agricultural production and ICT at the household level in South Africa show divergent empirical results. This study investigates the effect of information and communication technology (ICT) and land for farming in the context of household food production in South Africa. Household engagement in agricultural activities is proxy for agricultural production, farm land size is a proxy for land accessibility, telephone and internet use are proxies for ICT in this study. Household data of twenty-one thousand, six hundred and one (21,601) households on agricultural activities and ICTs were generated from the existing survey data of General household survey, 2015 by Statistics South Africa. Majority of the households are not engaging in agricultural activities due to no access to land for farming, but more than 80 percent of the households have access to at least one form of ICTs penetration i.e. mobile telephony. The logit regression shows that internet connection in the household have positive and significant impact on household agricultural production but land accessibility is indirectly related and significant to household food production in South Africa. Therefore land accessibility may be a barrier to agricultural activity involvement in South Africa. The study shows that the positive spillover impacts of ICT may not be possible due to lack of access to land for agriculture. Land for farming, CDMA telephony and internet are highly required for agricultural activities in order to promote food production, reduce cost of telecommunications, promoting agricultural research and development via internet accessibility.
5 pages., This research aimed to figure out the attitude and readiness of agriculture extension officers
in using the Information and Communication Technology. Data collection was done through a
survey with total sample 60 respondents. Data gained were primary data from questionnaire
filling by respondents who were all extension officers in Food Security and Extension
Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test. The results of Validity and Reliability Test gave a valid outcome with rcal >0,3 and reliability value of α >0,6 in all variables. Fishbein’s Attitude Model test in all variables showed an answer from neutral to very positive data. Linear Regression Test resulted in an
equation Y = -6,234+ 0,211 X1 + 0,213X2 + 0,550 X3 + 0,119 X4 + 1,252X5 + 0,665X6. The
value of determination coefficient (R2) was 0,816 which meant that variable variance of
Information and Communication Technology acceptance could be explained by data
variance of extension officers’ attitude and readiness (farmer readiness, extension officers readiness, infrastructure, management support, culture support) in values of 81,6%. In F test, Fcal was = 44,683 and was significant in p < 0,05, which meant that the effects of extension officers’ attitude and readiness to Information and Communication Technology acceptance.