Background Agriculture is considered an important strategy for overcoming many of the emergencies faced by rural households in developing countries. In rural Ethiopia household access to food largely depends on what the household grows, either because they consume what they grow, or they purchase food with the income earned from what they grow. This study examines effect of crop diversification on food security and determinants of household food security among rural farm households of Sinana District, Oromia Regional state. The study uses a multi stage sampling procedure to select 384 sample households. Data were collected using a household survey, a focus group discussant (FGD), and key informant interviews. Ordinary least squares regression (OLS) and multinomial logistic regression model were used to analyze the data collected. Results We found that crop diversification had a positive and significant effect on household food security. Although crop diversification was positively associated with household food security, several other factors were found to be as or more important in increasing household food security. The education of the household head, access to irrigation system, livestock owned, total income, and remittance positively affected household food security. In contrast, age of household head and distance to nearest market were negatively associated with food security. Conclusions The study conclude that any effort to increase household food security should consider empowerment of farmers through adequate training and informal education, enhancing crop diversification, strengthening the rural infrastructural development (roads, market centers, and cooperatives).

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Background Ethiopia is heterogeneous in agro-ecological, social, and economic conditions. In such heterogeneous environment, crop production needs to be diversified to meet household consumption and market needs. This study analyzed determinants of crop diversification in wheat dominant producer rural households in Ethiopia’s Sinana District of the Oromia Regional State. The study utilized a structured survey of 384 households, and both inferential and descriptive statistics were employed to analyze the data. A Cragg’s double hurdle model was applied to identify factors influencing decision and the extent of crop diversification. Results We found that decision to crop diversification was positively associated with household size, access to fertile farm plots, and access to extension services and negatively associated with age of household head, and participation in off/non-farm activities. The extent of crop diversification is positively associated with access to extension services, labor availability, membership to farmers cooperatives, and distance to market. Conclusions These findings support the need for resources to strengthen available extension packages, support existing farmers’ cooperatives, and develop rural infrastructures in order to improve the smallholder farmers’ extent of crop diversifications.

The long-term impact of malnutrition on people’s lives, most notably in health, education, and productivity, highly affects the human capital. Agriculture directly contributes to nutrition security by enabling farm households to access micronutrient food by using their farm income. This study was intended to assess effect of crop diversification on household nutrition security and explores determinants of under-five child malnutrition among rural farm households of Sinana Woreda, Oromia regional state. Multi-stage sampling followed by a systematic random sampling technique was used to include study subjects. Structured questionnaire, focus group discussions (FGDs) and key informant interview was used to collect data. Anthropometric measurements were collected and converted into Z-scores by WHO Anthro version 3.2.2., 2011 software. Then exported to STATA and analyzed using descriptive statistics and inferential statistics. Pearson Correlation coefficients was calculated to see the correlation of the nutrition security status indicators and crop diversification index. Bivariate and multivariate logistic regression was carried out to identify factors associated with child nutrition. The result revealed that the prevalence of malnutrition particularly, stunting was (23.81%), underweight (21.16%) and wasting (9.52%), respectively. The correlation coefficient indicates that crop diversification is negatively correlated with stunting and wasting and positively correlated with underweight and child dietary diversity score. Multivariate logistic regression model indicate that child nutritional status is strongly associated with age of household head, maternal and parental education, farm land size, TLU, availability of potable water, child sex, child dietary diversity, household access to toilet, total annual income, and household access to health services. In conclusion, policy and development interventions should target intensive agricultural production, development of rural infrastructure, education and awareness creation tools to provide households up to date nutritional knowledge and agricultural technologies to increase production and income, and thereby enhance household nutrition security.

Currently agricultural sector is the main sector of the economy in Ethiopia. Information and Communication Technologies (ICT) have been changing the way that actors like researchers, development agents, policy makers, and farmers share agricultural information and knowledge. Particularly, farmers have started to use ICT to get agricultural information and knowledge, despite a number of challenges. Therefore, this study attempted to assess and analyze factors influencing the use of Information and Communication Technologies by farmers in Tole District of South West Shewa Zone, Ethiopia. Data were collected (n=144) from 144 randomly selected respondents from Tole District, of which 69 were ICT user farmers and 75 of them were non users of ICT. The study deployed mixed methods research. Descriptive statistics were used to analyze data. Qualitative data were analyzed through interpretation, narration, and finally complement the descriptive analysis. The key finding of this study revealed that the social, economic and institutional factors were identified in study as factors in using ICT by farmers in the study area. The survey results revealed that age, sex, education status and distance from nearby market have influence on use of ICT in agricultural extension by farmers. The findings also revealed that Radio, Television, mobile phone, fixed phone, and written materials were easily accessed by majority of both users and non users of ICT. The study recommends concerned stakeholders and partners found at different levels should attempt to address those factors influencing the use of ICT among farmers. This study recommends that policymakers at different levels should recognize that farmers are using ICT in addition to traditional ICT like Radio and TV. Hence, this fact should be taken as an input for policy formation of ICT in agriculture and rural development in particular and for its usability among farmers.