21 pages, Climate change continues to impact the livelihoods of smallholder farmers due to low adaptive capacity. In South Africa, the challenge is exacerbated by water scarcity and shortened crop-growing seasons. Climate-smart irrigation innovative technologies (CSIT) enhance smallholder farmers’ resilience to climate change. However, there is still a limited level of effective adoption and usage of these technologies in smallholder communities. This study investigated the barriers affecting the adoption of CSIT in rural areas of the Vhembe and Capricorn districts in Limpopo Province, South Africa. We explored the farmers’ socioeconomic factors extracted from farmers’ perceptions of CSIT-specific attributes. A multi-stage randomized sampling technique was used to select 100 smallholder farmers (SHF). Data analyzed by descriptive statistics such as percentages and frequency distribution are presented in graphs and tables. According to the findings, insufficient communication channels, a lack of financial availability, unstable land tenure systems, and insufficient training are the main obstacles to implementing CSIT. There is a need for policy and decision-makers to improve the communication channels for disseminating agro-meteorological information to the intended beneficiaries.
6 pages, Background: The subject of the study in the present work was the correlation of the development of the agricultural sector with the operation of agricultural cooperatives. Considering the importance of the agricultural sector with its big and small problems, the role of agricultural cooperatives in the development of this sector is identified. As it was found from the Greek literature, the agricultural cooperatives in Greece, offered technical and material assistance to the Greek farmers, helped in the economic recovery of the local communities, helped significantly in the operation of the agricultural products market, undertook activities of utilization of agricultural production and in many cases also competed with private companies.
Methods: The model chosen for the analysis is the input-output analysis method which measures the economic impact that companies have on their local economies. In this case it concerns the change of production from the various companies belonging to the cooperatives to a financial contribution to the whole economy.
Result: The results of the theoretical and empirical analysis clearly showed that the cooperative organizations in Greece, despite the chronic problems they face, contribute positively and satisfactorily to the entire economy of the country. This contribution is made not only by the services they offer to their members but also through the financial activities they undertake with their cooperative enterprises.
16 pages, Agricultural extension is one of the essential services that are offered by the South African Department of Agriculture, Land Reform, and Rural Development (DALRRD), to facilitate agricultural development in rural communities. The significance of agricultural extension is that it offers new knowledge to farmers and allows space for growth through various interventions such as agrarian transformation and improving livelihoods through the promotion of agriculture as a vehicle for ‘pro-poor’ economic growth. However, there is a concern that extension services are invisible in resource-restricted and previously marginalised rural communities. The study presented in this paper examined farmer’s experiences with extension practitioners and the impact of a lack of extension services on the development of impoverished rural communities. The researchers adopted a qualitative design wherein six focus group discussions were held to gather data from the farmers. Data were analyzed using ATLAS.ti22, a computer-assisted qualitative data analysis software (CAQDAS). Four themes of extension services that have a direct linkage to livelihood development, namely, the impact on rural livelihoods, production challenges, marketability, and economic impact, and the invisibility of extension services, were the central point of discussion.
27 pages, Agricultural extension has shifted towards community-centric, farmer-centered, and participatory approaches that enhance rural change through a social learning lens, resulting in the emergence of the farmer-to-farmer extension model. The purpose of the study was to understand lead farmer selection criteria within the farmer-to-farmer model and their impacts on community social learning. We applied Torraco’s (2005) integrative literature review method to guide our discussion around lead farmer selection processes, types of lead farmers selected and their impacts on social learning. The study indicated farmer-to-farmer extension model has the potential of re-invigorating the provision of agriculture extension services owing to its low cost, reliability, and the potential to be sustainable. However, farmer-to-farmer faces numerous challenges such as a lack of funding, limited community adoption, and acceptance of the system. This study’s findings suggest the farmer-to-farmer approach can be more effective when stakeholders, especially the community is actively involved in designing, implementing, and evaluating the model. The study recommends that practitioners work closely with the community to develop long-term relationships based on trust through intentionality and inviting attitude that respects and values community knowledge.
6pgs, Valerie Horn works with several community action groups in Whitesburg, Kentucky. The state’s recent flooding has made these organizations even more vital to the community.
18 pages, The purpose of this study was to assess the knowledge level of farmers on basic computer literacy, social media use, and to explore which social and demographic factors affected their knowledge capacity. The study had a final sample of 176 participants from the northern, southern and central regions of Trinidad and Tobago. A survey instrument comprising of 14 multiple-choice questions with one accurate response was developed to decrease bias of farmers randomly selecting the accurate response. The questions addressed knowledge on basic computer and social media literacy. Analysis was conducted using one-way ANOVA with post-hoc testing. Results indicated that there were significant differences in farmers’ performance in the knowledge test based on characteristics such as age, education, and household use of social media and the internet. Based on the findings, minimal training in computer and social media literacy did not impede the farmers’ use of the computer or social media. These discoveries highlight the potential of extension programs using the internet and social media applications to improve communication efficiency among agricultural stakeholders within farming communities.
