10 pages, This study examined content of YouTube videos on cassava production and processing posted in Nigeria between 2009 and 2019. Purposive sampling method was used in selecting 155 YouTube videos with cassava production and processing contents. Primary data on video source, content, duration, quality, number of views, subscribers, likes, comments, presentation format and year of upload were obtained by watching these videos. Data were analysed using frequency counts, percentages, means, standard deviation. Many (53.5%) of the videos were on processing of cassava, while most (80.0%) of the videos were relatively recent (2014 - 2019). Private individuals (38.7%) and media houses (34.2%) were the main sources of videos on cassava production and processing on YouTube. The major content of the video was on agronomic practices in cassava production (12.9%) and value addition (11.0%). Also, 66.0% of the videos had video description (descriptive texts), 36.8% had mobilizing information while 52.3% had a video quality of 720p. Furthermore, 72.9% of the videos had between 1-to-7-minute runtime and these videos had more likes than dislikes with mean values of 92.8 and 5.6 respectively. The mean number of views, subscribers and comments were 11,138.1, 179,537.6 and 13.6, respectively. The presentation patterns in the videos were in form of news (24.5%) and documentary (20.0%). YouTube videos on cassava production and processing were well viewed with a substantial number of subscribers. More YouTube videos on cassava production and processing should be produced with varied contents by different stakeholders in the agricultural sector.
21 pages, Despite decades of investment in agricultural extension, technology adoption among farmers and agricultural productivity growth in Sub-Saharan Africa remain slow. Among other shortcomings, extension systems often make recommendations that do not account for price risk or spatial heterogeneity in farmers' growing conditions. However, little is known about the effectiveness of extension approaches for nutrient management that consider these issues. We analyze the impact of farmers' access to site-specific nutrient management recommendations and to information on expected returns, provided through a digital decision support tool, for maize production. We implement a randomized controlled trial among smallholders in the maize belt of northern Nigeria. We use three waves of annual panel data to estimate immediate and longer term effects of two different extension treatments: site-specific recommendations with and without complementary information about variability in output prices and expected returns. We find that site-specific nutrient management recommendations improve fertilizer management practices and maize yields but do not necessarily increase fertilizer use. In addition, we find that recommendations that are accompanied by additional information about variability in expected returns induce larger fertilizer investments that persist beyond the first year. However, the magnitudes of these effects are small: we find only incremental increases in investments and net revenues over two treatment years.
