9 pages., The paper explored the policy options targeted at preventing extreme hunger after surviving the COVID-19 pandemic. Multistage sampling procedure was used to select 15 key informants across five purposively selected Local Government Areas in Kaduna and Ogun States for this study. Checklist (administered through recorded telephone calls) was used to elicit responses (qualitative data) on the impacts of COVID-19 on the food system. This paper concludes that the COVID-19 pandemic has negatively impacted on the food system thus challenging the AES to employ more innovative and pragmatic approaches to reach the farmers. Major impacts of COVID-19 on food system were disruptions in agricultural production, limitation of field visit by extension personnel and distortion of technology delivery system. Major recommendations include: in response to the stay-at-home order in the wake of the COVID-19 pandemic, Agricultural extension services (AES) should explore virtual means to reach the clientele. To this end, farm operations and new techniques should be packaged into short clips and shared via various platforms. Also, legislative means to consider AEAS as essential services should be sought; and extensionists should be trained and provided with personal protection equipment (PPE) to enable them reach farmers. Such field officers should be insured and provided with adequate tangible mobility.
16 pages, The study examined the factors that drive decisions to adopt and use irrigation technologies among smallholder farmers in Machakos County, Kenya. Data were collected from a sample of 300 smallholder farmers. Cross-sectional survey design, a multistage sampling procedure and random sampling method were employed. Percentages, means and econometric analysis were used in data analysis. Results showed that, 31.7% of the respondents practiced irrigation. Sex of household head, education, farm size, off-farm income, credit accessed and access to extension services positively influenced adoption of irrigation technologies. Adoption intensity was positively influenced by gender, off-farm income, farming experience, primary occupation and extension services. As a result, it is suggested that while formulating development strategies and programs for smallholder farmers, agricultural extension organizations should give priority to these factors.
12 pages, This study evaluated socioeconomic factors influencing the uptake of regenerative agriculture technologies in the dry lands of Embu County. Semi-structured questionnaires were administered to 400 farm households. Multivariate Probit model (MVP) and percentage were used to analyse the data. The findings of the study indicate that several socioeconomic factors including farming experience, farm size, main occupation, off-farm activities, age, gender, marital status and education level influenced the uptake of various regenerative agriculture technologies. Government and other inventors should take these factors into consideration while making decisions and formulating policies to support the dissemination and uptake of agricultural innovations.