6 pages, Despite the huge potential for milk production, interventions to improve productivity in sub-Saharan Africa (SSA) are barely based on specified farm classifications. This study aimed to develop robust and context-specific farm typologies to guide content of extension farm advice/services in Uganda. From a sample of 482 dairy farmers, we collected data on farmer socio-demographics, farm management practices, ownership of farm tools and facilities, willingness to pay for extension services, milk production, and marketing. Farm typologies were obtained based on principal component and cluster analyses. Thereby, of the three dairy production systems that emerged, small-scale, largely subsistence yet extensive and low productive farms were more prominent (82.6%). Farms that were classified as large-scale, less commercialized yet extensive with modest productive systems were more than the medium-scale commercial farms with intensive and highly productive systems. However, the later were considered to potentially transform dairy farming in Uganda. It was also predicted that the validity of our farm classification may persist until half of the farms have moved between clusters. The study gives new insights on dairy production systems in Uganda, which can be used to organize more targeted research on farmers’ extension needs for facilitating delivery of relevant and effective extension services and designing appropriate extension policies
12 pages., Article #: 1274944, via online journal., Agricultural extension is perceived as the primary mechanism through which farmers expand their ability to adopt and adapt new technologies and ideas. The use of Information and Communication Technology like videos in extension is being fronted as an alternative to the conventional Face-to face extension approach (F2FEA). A comparison of effectiveness of the Video-mediated extension approach (VMEA) and F2FEA among rice farmers in two districts of Uganda challenges the independent use of the two approaches. A cross-sectional survey of two nonequivalent groups subjected to VMEA in Kamwenge and F2FEA in Hoima districts was conducted with 196 farmers. The results indicate greater potential for integration of VMEA and F2FEA as the two are complementary in the various stages of the farmer learning framework developed. VMEA is significantly better in awareness creation and sharing of knowledge and experiences while the F2FEA is significantly better at enhancing knowledge acquisition and retention and application. The relative strengths of VMEA and F2FEA can best be harnessed through integration of the approaches. The integration will not solve the problem of large farmer to extension ratio common in developing countries but will rather make the extension workers more effective. The integration however calls for rethinking of institutional
arrangement, roles of the extension worker, and pragmatic retooling of the extension worker to embrace social learning principles that empower farmers to be more self-directed learners and innovators.
21 Pages, Agricultural advisory services generally rely on interpersonal knowledge transfers by agricultural extension agents who visit farmers to provide information. This approach is not always effective and has proved hard to scale sustainably, particularly in highly dispersed smallholder farming systems. Information and communication technologies (ICTs) have been advanced as a promising way to overcome many of the problems associated with conventional agricultural extension. We evaluate the effectiveness of an ICT‐mediated approach to deliver agricultural information in a field experiment conducted among small‐scale maize farmers in eastern Uganda. Three complementary technologies designed to address both informational and behavioral constraints to technical change are considered. First, we investigate the effectiveness of audiovisual messages (video) as a means of delivering information on input use and improved maize management practices to farmers. Second, we quantify the additional impact of complementing video with an interactive voice response (IVR) service. Third, we estimate the incremental effect of time‐sensitive short message services (SMS) messages designed to remind farmers about applying key practices at specific points during the season. We find that households that were shown a short video on how to become better maize farmers were performing significantly better on a knowledge test, more likely to apply recommended practices, and more likely to use fertilizer than households that did not view the video. These same households also reported maize yields about 10.5% higher than those that did not view the video. We find little evidence of an incremental effect of the IVR service or SMS reminders.