Abstract:
The study presents extension communication methods for cabbage farmers with the
aims to understand how the COVID-19 pandemic has affected the extension
communication methods (ICT tools) through which smallholder cabbage farmers
receive farm management information from their local extension practitioners and
whether farmers socio-economic situation position them to receive farm management
information through the conventional communication media and the current digital
communication tools in Polokwane and Lepelle-Nkumpi local municipalities. The
restrictions on people movement and contacts between people, including farmers and
extension practitioners. Smallholder farmers in developing countries including South
Africa, who depend mainly on the public extension service provider for their farm
management information needs, are no longer receiving the traditional face-to-face
farm management support through individual and group visits. The conceptualization
of adoption behaviour analysis utilized in this study was based on the Düvel
framework. The study objective were; to identify and describe smallholder cabbage
farmers socio-economic characteristics that might influence the communication
methods (ICT tools) they use for receiving farm management information from their
local extension practitioner, to ascertain and describe the communication methods
(ICT tools) through which smallholder cabbage farmers mainly received farm
management information from their local extension practitioner before and since the
COVID-19 outbreak in South Africa in 2020, and also to describe the challenges
associated with the communication methods (ICT tools) through which smallholder
cabbage farmers have received farm management information from their local
extension practitioner since the COVID-19 outbreak in South Africa in 2020. A cross sectional survey approach was used for this study to collect data at one point in time
to achieve the aim of the study. A sample of 81 farmers from the two municipalities
were interviewed using a semi-structured questionnaire. Descriptive and inferential
statistics were applied to analyze the data using SPSS software. The questionnaires
were coded, and the data was entered on a computer using Statistical Package for
Social Sciences (SPSS) version 11.5 software. The software was used for data
analysis. Data were analysed using percentages and, frequency and Chi-square test.
The study findings showed that there is a significant relationship between socio economic characteristic and the communication methods through which farmers
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received information. Furthermore, the results showed that most respondents utilized
ICT tools before COVID-19 as compared to the period of COVID-19. Finally, the
results of the distribution of respondents on challenges associated with the
communication methods showed that most respondents had no challenges utilizing
the communication ICT tools. It is therefore recommended that to accelerate
innovation and improve agricultural practices among farmers, policy needs to address
both the technical and social-economic barriers to adoption as well as the cultural
change. Issues such as reading levels require long term transformation strategies.
Shorter term strategies are therefore required, such as deliberately ensuring that
dissemination methods adopt accessible technologies, which in this instance include
radio and TV. It will be essential for research organisations to match the dissemination
methods with the farmers’ preferences to attain more effective transfer of knowledge
and skills from research to farmers