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.
15 pages, This study presents a designed ICT based extension service delivery system for the sugar industry of Eswatini. The model is an improvement of the current system and it presents a delivery system that is void of many limitations. This model emanates from findings of a survey which involved all smallholder sugarcane farmers (N=172) and their extension officers (N=17). The survey investigated how information and knowledge are currently managed within the sugar industry. Basically, the model revolves around the use of mobile phones to relay information among the sugar industry stakeholders in a timely, more organised, productive and cost-effective ways, without contravention of the COVID-19 pandemic protocols. Sugarcane stakeholders can now be able to exchange information using the model without having to meet physically, which is what most of the traditional approaches required. The exchange of information can be in a form of voiced, pre-recorded information in the form of texts, audio, or audio visuals. This would go a long way in enhancing smallholder farmer’s productivity as it has the potential of empowering more rural sugarcane farmers with crucial information for improved productivity. The model has the potential to sustain itself as the participation of the stakeholders is promoted.