12 pages., The study reported on in this paper investigated smallholder farmers’ access to extension services. The study sought to distinguish the varying degrees of access to services of smallholder farmers engaged in different production systems, that is, home gardening, field cropping, and livestock production. The study was conducted in Raymond Mhlaba Local Municipality in the Eastern Cape, specifically in two communities, namely Ngcabasa and Phathikhala villages. Research activities included a survey of 100 farmers as well as focus group discussions. Employing logistic regression analysis, the study aimed to understand what influences whether or not a smallholder farmer accesses extension. The study also used various types of comparative statistics (T-test) to assess the implications of access to extension support, for instance for production and farm income. The main findings of the study were that 68% of the farming households interviewed in Ngcabasa and 71% of those in Phathikhala had access to extension services. Farmers who had access to extension had more farm income in both enterprises compared to those who had no access to extension services. From the regression analysis, farmers who were more likely to receive extension support appeared to be those who were older, those with less education, and those farming with livestock.
14 pgs., The provision of farm management decision support and advisory services to insure climate resilient agricultural production systems, especially for subsistence farmers, depends on data on such producers. The main objective of the paper was to generate such data by comparing the status quo regarding dryland, subsistence grain farmers’ perceptions of climate variability, their adaptation strategies and crop productivity. Using a survey questionnaire, the comparison was made across time (2014 and 2017) in selected municipalities of Limpopo province. The findings across time and aggregated for all the different local municipalities investigated were similar regarding respondents’ perceptions of climate variability, adaptation strategies used and crop productivity. The perceptions revealed that respondents were aware of the reality of climate variability and its negative effects on their crop and livestock production, Agricultural productivity amongst extension and non-extension recipients was low, with minimal differences. These findings auger well for the development of common strategies to improve the effectiveness of the support for farm management including climate variability that is provided by the public agricultural extension service to the group of producers in this study to reduce the negative effects of climate variability on their crop productivity. This will eventually help to improve their food security.
11 pages., This paper was initiated in order to find the usage and relevance of theInformation and Communication Technologies(ICT) by the smallholder farmers of the Umzimvubu Local Municipality of the Eastern Cape Province in South Africa. A survey questionnaire was then developed to collect the relevant data from randomly selected six villages of Umzimvubu Local Municipality targeting 138 respondents. The questionnaires structure employed both closed and open-ended questions that were administered using a face to face interview, conducted on the sample population in each village. There seems to be a correlation between ICT usage and the economies of scale in agricultural development, where smallholder farmers tend to use less of highly modernized ICT, while commercial large scale farmers use more of the modernized ICT. This disparity amongst farmers is exacerbated in many areas by the differing support systems employed by the public extension services.
13 Pages, This research was conducted to assess socio-economic factors influencing adoption of conservation agriculture in Moroto District of Uganda. The socio-economic factors, the level of conservation agriculture, and the constraints faced by the farmers were assessed. A cross-sectional research design was utilised to collect data from 80 farmers (adopters and non-adopters of conservation agriculture). Purposive random sampling was applied to select seven key informants in the two sub-counties of Katikekile and Nadunget, and four villages of Nakodet, Nakwanga, Napudes and Komare. Data were collected through personal observation, interviews, focus group discussions, and structured questionnaires. The Statistical Package for Social Sciences (SPSS) was used to generate descriptive and inferential statistics for quantitative data analysis. The binary probit model was used to determine the socio-economic factors influencing adoption of conservation agriculture. The findings indicate that there was a significant influence for gender (p<0.01), but a statistically significant influence for credit and extension services (p<0.05). Finally, the adoption rate of conservation agriculture is still low given the size of land dedicated to it by most farmers. Therefore, this study recommends that government and other institutions should strengthen the agricultural extension system, provide financial support and incentives, and sensitize farmers on conservation agriculture.
15 pages, The novel Corona virus pandemic has been extremely overwhelming at all levels causing massive economic setbacks for many countries including South Africa. The country witnessed an unprecedented scaling-down of its national economic activities, which called for an emergency response from the government. Several Covid-19 relief schemes were instituted by the government to ensure that farms of all sizes would survive. A support fund of R1.2 billion was allocated to the agriculture and food sector through the Department of Agriculture, Land Reform and Rural Development (DALRRD). The fund was primarily meant to assist financially distressed small-scale farmers to ensure continued production and food security for the country. This study collated the conditions for financial Covid-19 stimulus support required from smallholders and analysed several factors that prevented some members of this vulnerable group from benefitting from the relief funds. These factors include complexities associated with satisfactorily categorizing smallholder producers, productivity, marketing and policy challenges, glitches in formalising smallholder producer operations, the farm-business record keeping pitfall, and the exclusion of subsistent producers. The paper suggests some possible corrective measures that could allow for more inclusive support to these categories of farmers; some of which includes a simple but robust financial traceability system for the farmers, and a need to continue to push for the completion of national registration process of smallholder producers.
