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Precision agriculture (PA) involves the application of technologies and agronomic principles to manage spatial and temporal variation associated with all aspects of agricultural production in order to improve crop performance and environmental quality. The focus of this book is to introduce a non-specialist audience to the the role of PA in food security, environmental protection, and sustainable use of natural resources, as well as its economic benefits. The technologies covered include yield monitors and remote sensing, and the key agronomic principles addressed are the optimal delivery of fertilizers, water and pesticides to crops only when and where these are required. As a result, it is shown that both food production and resource efficiency can be maximized, without waste or damage to the environment, such as can occur from excessive fertilizer or pesticide applications. The authors of necessity describe some technicalities about PA, but the overall aim is to introduce readers who are unfamiliar with PA to this very broad subject and to demonstrate the potential impact of PA on the environment and economy. Chapter 3 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 3.0 license.
This book is open access under a CC BY 4.0 license. The book examines the methodological challenges in analyzing the effectiveness of development policies. It presents a selection of tools and methodologies that can help tackle the complexities of which policies work best and why, and how they can be implemented effectively given the political and economic framework conditions of a country. The contributions in this book offer a continuation of the ongoing evidence-based debate on the role of agriculture and participatory policy processes in reducing poverty. They develop and apply quantitative political economy approaches by integrating quantitative models of political decision-making into existing economic modeling tools, allowing a more comprehensive growth-poverty analysis. The book addresses not only scholars who use quantitative policy modeling and evaluation techniques in their empirical or theoretical research, but also technical experts, including policy makers and analysts from stakeholder organizations, involved in formulating and implementing policies to reduce poverty and to increase economic and social well-being in African countries.
The book highlights proceedings from the Berlin 2008: Agriculture and Development conference held in preparation for the World Development Report 2008.
Substantial numbers of the world’s chronically poor and malnourished population live in an increasingly volatile world. The dangerous nexus of climate change, rapid population growth, conflict, and food price volatility already appears to have pushed several poor regions into states of permanent crisis, even as the rest of the world has seen unprecedented progress against poverty. This disturbing state of affairs, along with our expanded knowledge of the intimate interactions between short-term shocks and long-run development, has catalyzed widespread interest in resilience building, and in what such a framework implies for understanding the causes and consequences of acute vulnerability to natural and man-made disasters. In this paper we ask what this paradigm implies for the measurement and analysis of resilience. Resilience is fundamentally about complex dynamics. Slower-moving ecological, economic, demographic, and social stressors create vulnerability to short-run shocks, which in turn can have long-term consequences by reinforcing preexisting vulnerabilities. In our view, this basic conception of resilience has fundamental measurement implications. First, resilience can be measured and understood only through higher-frequency surveys that capture the causes and consequences of time-varying stressors and shocks, including seasonal shocks. Second, resilience can be understood only through surveys that capture the multidimensional complexity of stressors, shocks, and feedback loops, including the complex interactions between economic, social, and ecological forces. Third, the underlying stressors that create vulnerability, and the resilience-building interventions that reduce vulnerability, can be gauged and evaluated only over the longer term. This conceptualization of resilience motivates us to go a step further than existing research on resilience and on food and nutrition security measurement, by outlining a far more expansive strategy for improving and scaling up the monitoring, measurement, and analysis of the world’s most vulnerable populations. We propose the development of a multicountry system of high-frequency, long-term sentinel sites in the world’s most vulnerable regions. If implemented along the lines we conceive, this system could be a high-return investment for resilience-building efforts, since it would serve multiple purposes. This system offers the only rigorous means of monitoring vulnerability and resilience in the world’s most volatile regions. This system would bolster existing early-warning systems by complementing them with household-level indicators. This system would improve the targeting of emergency resources. This system would be instrumental for diagnosing the underlying sources of vulnerability, for identifying key thresholds of resilience, and for designing appropriate resilience-building strategies. And this system would provide a rigorous foundation for large-scale evaluations of resilience-building activities. While there are strong justifications for such a system, the devil is necessarily in the details, and much of this paper is concerned with those details. Largely to learn from existing experience, we first review existing measurement strategies that are similar in purpose or design to the sentinel system outlined above. When implemented, long-term, high-frequency measurement systems have often yielded great benefits but been hampered by cost, lack of institutional coordination, and insufficient dissemination and usage of data. The need to keep costs down and benefits widespread therefore motivates us to consider which countries in the world have the highest priority for the development of sentinel sites, based on indicators such as child nutrition and health outcomes, exposure to disasters, and past emergency assistance levels from the international community. We then turn to crucial issues of data collection design by outlining a hybrid sampling and survey design that will help achieve the various objectives outlined above while keeping costs down. We also argue that the proliferation of mobile phones and other information and communications technologies offers substantial scope for a cost-effective system of this kind, far more so than would have been available in the past. Finally, we consider who should lead and contribute to this ambitious effort. Since the principal advantage of this approach is that it can yield benefits for a wide range of institutions and purposes (relief and development, operations and research, social and biophysical sciences), and since the costs of a long-term commitment to these sentinel surveys would be large indeed for any single agency, we propose the need for a relatively broad consortium of international donors. This consortium should first focus on establishing partnerships with national governments and then commit to long-term resilience monitoring as well as domestic capacity building. With this essential commitment in place, this consortium would then need to secure implementing partners with a permanent presence on the ground, as well as the technical expertise of international organizations of various sorts. Ultimately, we argue, it is only this kind of long-term, cooperative commitment that will provide a scientific evidence base for diagnosing and resolving the world’s worst problems of hunger, poverty, and malnutrition. Only this kind of sentinel system can generate the data and evidence needed to inform actions to build resilience and to help the global community eliminate extreme poverty in the generation ahead. The status quo is simply not enough.
The rapid and ongoing digital transformation of government, economic, and social sectors holds immense potential to improve outcomes across the SDGs for smallholder farmers and rural communities more generally. [Author] However, it is also widely recognized that digitalization alone does not guarantee inclusion. [Author] Rural residents and marginalized groups have the most to gain from digitalization but are also the most at risk of falling further behind due to digital divides. [Author] The resulting paradox may leave rural development actors unsure about how to best approach rural digital transformation. [Author] This report helps rural development practitioners and decision-makers work through this paradox. [Author] It does so by highlighting the factors that lead to digital exclusion, providing evidence regarding how digital divides play out, and providing recommendations on how to improve digital inclusion for rural areas and marginalized groups. [Author]