Based on unique primary surveys, we study dairy transformation processes in East Africa, specifically in Ethiopia and Uganda. Evidence on transformation and differential paths followed in doing so in these countries is often limited due to a lack of data. We note significant changes in the dairy sector over the last decade - with more adoption of cross-bred cows and higher milk yields - seemingly driven by rapid changes in local demand (Ethiopia and Uganda) and export markets (Uganda). However, while small farmers were included in that transformation in Uganda, they were not in Ethiopia. This was seemingly driven by better and cheaper accessibility for cross-bred cows that small farmers can better bear in Uganda.

In the context of a growing population in an already densely populated area, agricultural yields will need to increase without putting additional stress on the environment. The adoption of modern inputs by smallholders is an important ingredient of agricultural transformation. In this study we explore plot-level, household-level, and institutional-level characteristics associated with agricultural technology adoption behavior among smallholder farmers. The aim is to uncover correlations that can guide the design of policies and incentives that are likely to increase adoption. We explicitly differentiate between fixed costs that are likely to affect the decision to use the technology and variable costs that are more relevant for the decision regarding use intensity. In addition, we examine how the importance of each of these characteristics differs with asset status. To do so, we use data from about 1,880 potato plots cultivated by 500 randomly selected potato growers in southwestern Uganda. We first categorize households into poorly endowed and well-endowed asset classes based on their access to productive assets. We then estimate double-hurdle models for take-up and use intensity of fertilizer for each group. The results show that the factors associated with the decision to use fertilizer are often different from those associated with the decision about how much fertilizer to use and that the characteristics correlated with fertilizer adoption differ between asset-poor and asset-rich farmers. For instance, asset-poor female-headed households are less likely to use fertilizer, but if they do, they use more of it than male-headed households. Our results also suggest fertilizer packaging and distribution are important factors in fertilizer adoption decisions due to their impact on costs related to both indivisibilities and uncertainty about the quality. We derive a range of policy recommendations.

This report aims to identify the different scenarios where the process of digital transformation is taking place in agriculture. This identifies those aspects of basic conditions, such as those of infrastructure and networks, affordability, education and institutional support. In addition, enablers are identified, which are the factors that allow adopting and integrating changes in the production and decision-making processes. Finally identify through cases, existing literature and reports how substantive changes are taking place in the adoption of digital technologies in agriculture.

The U.S. Department of Agriculture (USDA) requested that the Board on Agriculture and Natural Resources of the National Research Council (NRC) convene a panel of experts to examine whether publicly funded agricultural research has influenced the structure of U.S. agriculture and, if so, how. The Committee to Review the Role of Publicly Funded Agricultural Research on the Structure of U.S. Agriculture was asked to assess the role of public-sector agricultural research on changes in the size and numbers of farms, with particular emphasis on the evolution of very-large-scale operations.

This volume deals with land degradation, which is occurring in almost all terrestrial biomes and agro-ecologies, in both low and high income countries and is stretching to about 30% of the total global land area. About three billion people reside in these degraded lands. However, the impact of land degradation is especially severe on livelihoods of the poor who heavily depend on natural resources. The annual global cost of land degradation due to land use and cover change (LUCC) and lower cropland and rangeland productivity is estimated to be about 300 billion USD. Sub-Saharan Africa (SSA) accounts for the largest share (22%) of the total global cost of land degradation. Only about 38% of the cost of land degradation due to LUCC - which accounts for 78% of the US$300 billion loss – is borne by land users and the remaining share (62%) is borne by consumers of ecosystem services off the farm. The results in this volume indicate that reversing land degradation trends makes both economic sense, and has multiple social and environmental benefits. On average, one US dollar investment into restoration of degraded land returns five US dollars. The findings of the country case studies call for increased investments into the rehabilitation and restoration of degraded lands, including through such institutional and policy measures as strengthening community participation for sustainable land management, enhancing government effectiveness and rule of law, improving access to markets and rural services, and securing land tenure. The assessment in this volume has been conducted at a time when there is an elevated interest in private land investments and when global efforts to achieve sustainable development objectives have intensified. In this regard, the results of this volume can contribute significantly to the ongoing policy debate and efforts to design strategies for achieving sustainable development goals and related efforts to address land degradation and halt biodiversity loss.

This framework presents ten interrelated principles/elements to guide Sustainable Agricultural Mechanization in Africa (SAMA). Further, it presents the technical issues to be considered under SAMA and the options to be analysed at the country and sub regional levels. The ten key elements required in a framework for SAMA are as follows: The analysis in the framework calls for a specific approach, involving learning from other parts of the world where significant transformation of the agricultural mechanization sector has already occurred within a three-to-four decade time frame, and developing policies and programmes to realize Africa’s aspirations of Zero Hunger by 2025. This approach entails the identification and prioritization of relevant and interrelated elements to help countries develop strategies and practical development plans that create synergies in line with their agricultural transformation plans. Given the unique characteristics of each country and the diverse needs of Africa due to the ecological heterogeneity and the wide range of farm sizes, the framework avoids being prescriptive.

Document from the year 2024 in the subject Computer Science - Commercial Information Technology, Nelson Mandela Metropolitan University (School of Information Technology), language: English, abstract: In this book, the author demonstrates how Design Science Research (DSR) approach can be used to design a tailor-made technology adoption assessment framework to gauge small-scale farmers found in developing nations' marginalised rural communities' adoption of ICT. The book presents a practical approach to illustrate the implementation process by using small-scale farmers found in the deeply isolated rural areas of Amathole District Municipality (ADM) of South Africa as a case study. The electronic environment (e-environment) created by the digital age continues to see the adoption of various technologies like Information and Communication Technologies (ICT) by individuals, nations, and organisations to facilitate development, effectiveness, efficiency, enhance productivity and business opportunities. Technology adoption assessment emerged alongside the rapid adoption of technology in the digital age as a tool to evaluate the factors or determinants that influence and contribute to technology adoption. In the case of developing nations rural societies, because of the socio-economic dynamics of the marginalised rural communities, the design of the assessment tools to gauge technology adoption should capture factors such as suitability, relevance of the technology as well as local context and capacity, social implications, and availability of resources to address the unique challenges faced by the region. This makes the design of technology adoption assessment tools to gauge adoption of technology among marginalised communities in developing countries to follow a tailor-made approach.