7 pages, Present study was carried out in 2018-19, in the three districts of Punjab i.e., Faisalabad, Sargodha and Muzaffargarh to analyse the factors affecting dissemination of agricultural information to farmers through ICT tools. One hundred and twenty respondents were selected randomly from each district, making a total sample of 360 respondents. Concerning the general use of ICT
tools in the dissemination of agricultural information, the findings indicated a change in trend
from the radio (11.1%) towards TV (85.6%) and mobile phone SMS (75.8%). The relevance of information and ICT tools’ cost appeared as common determinant factors for technology transfer effectiveness by ICT tools. Furthermore, farmers also indicated that the most effective
tool to disseminate agricultural information was television, followed by the mobile phone and social media. Moreover, most of the farmers (81.7 % and 73.1%, respectively) indicated that the
lack of innovative information and difficulties in using ICT tools were significant barriers while
communicating via these tools. The use of television and mobile phones in extension should be improved because they were relatively more popular among farmers. It was recommended that the Punjab government should also design a system of periodic monitoring and evaluation of the use of information and communication technologies in the extension with agricultural universities’ participation and relevant non-governmental organizations in Punjab. A dynamic feedback system should be designed, based on the local advisory committees’ recommendations, to determine the local farmers’ needs/problems, which should be sent immediately to the Directorate of Agricultural Information to suggest some suitable solution and disseminate through ICTs.
Online from periodical. 2 pages., Report of a presentation at the West Coast Produce Expo about Amazon's new Fresh banner, with establishment of small and medium-sized grocery stores.
35 pages, Despite the significance and growth of wind energy as a major source of renewable energy, research on the risks of wind turbines in the form of accidents and failures has attracted limited attention. Research that applies data analytics methodologically in this context is scarce. The research presented here, upon construction of a text corpus of 721 selected wind turbine accident and failure news reports, develops and applies a custom-developed data analytics framework that integrates tabular analysis, visualization, text mining, and machine learning. Topic modeling was applied for the first time to identify and classify recurring themes in wind turbine accident news, and association mining was applied to identify contextual terms associated with death and injury. The tabular and visual analyses relate accidents to location (offshore vs. onshore), wind turbine life cycle phases (transportation, construction, operation, and maintenance), and the incidence of death and injury. As one of the insights, more incidents were found to occur during operation and transportation. Through topic modeling, topics associated most with deaths and injuries were revealed. The results could benefit wind turbine manufacturers, service providers, energy companies, insurance companies, government bodies, non-profit organizations, researchers, and other stakeholders in the wind energy sector.
16 pages, This study analysed the delivery of public agricultural extension services to the rural households of Idutywa, Eastern Cape. Primary data were collected from 75 participants. Descriptive and inferential statistics were used to analyse the data. Results revealed that there is generally a lack of access to extension services by households in the study area. Above all, the findings showed that access to agricultural extension services is influenced by limited movements, cellphone data, household size, and a limited number of farmers for training. Based on the control and treated variables, the Average Treatment Effect Treated from Kernel, Nearest Neighbours, and Radius matching methods were found to be negative which means that if farmers did not receive the program during the pandemic, the performance and yields were going to be very poor and low. The study recommends that extension officers should be empowered with modern tools to deliver need-based agricultural extension services in the future.
Lancendorfer, Karen M. (author / Haworth College of Business), Atkin, JoAnn L. (author / Haworth College of Business), and Reece, Bonnie B. (author / Michigan State University)
Format:
Journal article
Publication Date:
unknown
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 177 Document Number: C30374
