Master's Thesis from the year 2013 in the subject Agrarian Studies, Wollega University (School of graduate studies), language: English, abstract: This study analyzed factors affecting modern agricultural technology adoption by farmers and the impact of technology adoption decision on the welfare of households in the study area. The data used for the study were obtained from 145 randomly selected sample households in the study area. Binary logit model was employed to analyze the determinants of farmers’ decisions to adopt modern technologies. Moreover, the average effect of adoption on household incomes and expenditure were estimated by using propensity score matching method. The result of the logistic regression showed that household heads’ education level, farm size, credit accessibility, perception of farmers about cost of the inputs and off-farm income positively and significantly affected the farm households’ adoption decision; while family size affected their decision negatively and significantly. The result of the propensity score matching estimation showed that the average income and consumption expenditure of adopters are greater than that of non-adopters. Based on these findings it is recommended that the zonal and the woreda leaders extension agents farm and education experts, policy makers and other development oriented organizations have to plan in such a way that the farm households in the study area will obtain sufficient education, credit accessibilities and also have to train farmers to make them understand the benefits obtained from adopting the new technologies. These bodies have also to arrange policy issues that improve farm labour participation of household members and also to arrange the ways in which farmers obtain means of income outside farming activities.

This paper reviews different studies on technology adoption in sub-Saharan Africa to understand the determinants of low adoption of improved technologies, with a special focus on Malawi. This will in turn help explain why there is a gap between awareness and adoption of agriculture technologies. As evidenced from the results of the FGDs conducted in Malawi in 2018, despite the visible benefits of the new technologies, farmers often do not adopt or take a long time to adopt them. This creates a gap between awareness of agriculture technologies and their adoption. The existing literature from sub-Saharan Saharan Africa, demonstrates that adoption, as a decision-making process, is affected by farmers’ access to information, their financial and human capital, incentives and external programs, plus farmers’ attitude to risk.

Agriculture has been an enduring human tradition key to survival and civilization. However, after the advent of industrialization and agricultural growth, the industry has been met with several challenges including pollution, land use, and food insecurity. With the agricultural industry contributing to pollution and emissions, many have found it imperative to investigate the causes and seek out solutions. The Research Anthology on Strategies for Achieving Agricultural Sustainability discusses the issues that the agricultural industry currently faces and the technological opportunities that can be explored to help protect and predict crop growth and achieve more resilient agricultural processes. It analyzes the impact of agricultural pollution and food insecurity on a global scale, but also proposes solutions to promote agricultural sustainability. Covering topics such as bio-farming, smart farming, and population growth, this book is an indispensable resource for government officials, agricultural scientists, farmers, students and professors of higher education, activist groups, researchers, and academicians.

Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.

Doctoral Thesis / Dissertation from the year 2018 in the subject Agrarian Studies, Haramaya University, language: English, abstract: White haricot bean is the major source of cash in domestic and international markets and serves as the cheapest source of protein diet for rural households. The double hurdle model and parametric stochastic frontier model of Cobb Douglass type production and cost functions were used to analyze the determinants of adoption and estimate production and cost efficiency scores, respectively. The adoption study revealed that the two decision tiers are independent and the same or different factors affected the two tiers. The decision to adopt is positively and significantly influenced by the frequency of extension contacts, landholding size, agricultural income, perception of the household heads (about price, contribution to soil fertility and nutritional importance), training, and crop diversification; and negatively by distance to market and form of possession of haricot bean plot (tenure). The intensity of adoption is positively affected by non-farm income, contact with NGOs, and negatively with the number of dependents and form of possession of haricot beans plot (tenure). Technical efficiency is significantly and positively influenced by sex (male=1), membership in farmers cooperatives, education of the family, experience in haricot beans farming, use of certified seeds, income from the farm sector and crop diversification; and negatively affected by age of the households. Allocative efficiency differential is significantly and positively influenced by farming experience and household size; and negatively influenced by sex, distance to market and fragmentation of land. Economic efficiency is significantly and positively affected by the education of the family and household size, and negatively by distance to market and fragmentation of land. Provision of improved extension services, enhancing the perceptions on the important attributes of the crop, training, and better access to market are proposed for the first-hand adoption of white haricot beans while works on the creation of alternative sources of income (non-farm activities) contribute more to the intensity of adoption. Supply of certified seeds, education of the households and family members, and access to resources (credit and other inputs, in particular for female-headed households) are proposed to improve the technical efficiency, allocative and economic efficiencies.

One of the key questions in food policy debates in the last decades has been the role of cash cropping for achieving food security in low income countries. We revisit this question in the context of smallholder coffee production in Ethiopia. Using unique data collected by the authors on about 1,600 coffee farmers in the country, we find that coffee income improves food security, even after controlling for total income and other factors and after addressing the endogeneity of coffee income. Further analysis suggests that the pathway for achieving this improved food security is linked to being better able to smooth consumption across agricultural seasons. In contrast with food crops, coffee sales take place almost throughout the whole year, providing farmers with cash income also during the lean season.

The perception of Ethiopia projected in the media is often one of chronic poverty and hunger, but this bleak assessment does not accurately reflect most of the country today. Ethiopia encompasses a wide variety of agroecologies and peoples. Its agriculture sector, economy, and food security status are equally complex. In fact, since 2001 the per capita income in certain rural areas has risen by more than 50 percent, and crop yields and availability have also increased. Higher investments in roads and mobile phone technology have led to improved infrastructure and thereby greater access to markets, commodities, services, and information. In Food and Agriculture in Ethiopia: Progress and Policy Challenges, Paul Dorosh and Shahidur Rashid, along with other experts, tell the story of Ethiopia's political, economic, and agricultural transformation. The book is designed to provide empirical evidence to shed light on the complexities of agricultural and food policy in today's Ethiopia, highlight major policies and interventions of the past decade, and provide insights into building resilience to natural disasters and food crises. It examines the key issues, constraints, and opportunities that are likely to shape a food-secure future in Ethiopia, focusing on land quality, crop production, adoption of high-quality seed and fertilizer, and household income. Students, researchers, policy analysts, and decisionmakers will find this book a useful overview of Ethiopia's political, economic, and agricultural transformation as well as a resource for major food policy issues in Ethiopia. Contributors: Dawit Alemu, Guush Berhane, Jordan Chamberlin, Sarah Coll-Black, Paul Dorosh, Berhanu Gebremedhin, Sinafikeh Asrat Gemessa, Daniel O. Gilligan, John Graham, Kibrom Tafere Hirfrfot, John Hoddinott, Adam Kennedy, Neha Kumar, Mehrab Malek, Linden McBride, Dawit Kelemework Mekonnen, Asfaw Negassa, Shahidur Rashid, Emily Schmidt, David Spielman, Alemayehu Seyoum Taffesse, Seneshaw Tamiru, James Thurlow, William Wiseman.