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Digital Agricultural Ecosystem The book comprehensively explores the dynamic synergy between modern technology and agriculture, showcasing how advancements such as artificial intelligence, data analytics, and smart farming practices are reshaping the landscape to ensure food security in the era of climate change, as well as bridging the gap between cutting-edge research and practical implementation. Agriculture has historically been the foundation of human civilization and benefits communities all around the world. Agriculture has a creative, adaptable, and innovative history, and as the digital age draws closer, agriculture is once again poised for change. Each of the 20 chapters explores the connection between agricultural and technological advancements, and are divided into four key areas. Part 1 covers knowledge sharing in the digital agricultural ecosystem. In the context of modern agriculture, the chapters underscore the importance of information flow. Through comprehensive reviews of literature and assessments of farmer participation on social media platforms, these chapters illustrate the value of information sharing for sustainable agriculture. Part 2 explores the adoption and impact of digital technologies in agriculture. The use of cutting-edge digital technologies in agriculture is examined thoroughly in this section. The chapters included here outline how precision, artificial intelligence, and blockchain technology have the potential to transform methods of agriculture and improve food systems. Part 3 addresses smart farming and sustainable agriculture. This section focuses on sustainability and offers details on eco-friendly production methods, the significance of smart farming in many nations, including India and the UK, and cost-effective fertilizer sprayer technologies. Part 4 examines the modeling and analysis of agricultural systems. This last section explores how mathematical modeling and data analytics are used in agricultural systems, with insights on everything from the study of credit access constraints in rural regions to water resource management in irrigation systems. Audience The diverse readership includes farmers, agronomists, agricultural researchers, policymakers, environmentalists, information technologists, and students from academic and professional fields who are eager to learn more about how digital innovation and sustainable agriculture can be used to address global issues such as climate change, food security, and smart farming.
Digital agriculture has the potential to contribute to a more economically, environmentally and socially sustainable agriculture and meet the agricultural goals of a country or a region more effectively, and both ICTs and agriculture are important enablers in achieving SDGs. Most stakeholders have long recognized the need for national e-agricultural strategies. Nevertheless, most of the countries have not yet implemented a national strategy for the agricultural sector's use of ICTs. ITU Offices for Europe and CIS regions in collaboration with FAO Regional Office for Europe and Central Asia developed this report on state of Digital Agriculture and Strategies developed in 18 countries. The emerging role of ICTs in Europe and CIS region is clearly observed and experienced as an engine for agricultural development, especially in view of the growing demand for reliable information and its quick access at all levels of the industry. The state of the digital agriculture ecosystem differs from country to country and is also fragmented by the regions, within the individual countries. There is an overwhelming wave of innovation in this area where a digital agriculture strategy can be helpful in finding the right path.
Climate Change and Agricultural Ecosystems explains the causative factors of climate change related to agriculture, soil and plants, and discusses the relevant resulting mitigation process. Agricultural ecosystems include factors from the surrounding areas where agriculture experiences direct or indirect interaction with the plants, animals, and microbes present. Changes in climatic conditions influence all the factors of agricultural ecosystems, which can potentially adversely affect their productivity. This book summarizes the different aspects of vulnerability, adaptation, and amelioration of climate change in respect to plants, crops, soil, and microbes for the sustainability of the agricultural sector and, ultimately, food security for the future. It also focuses on the utilization of information technology for the sustainability of the agricultural sector along with the capacity and adaptability of agricultural societies under climate change. Climate Change and Agricultural Ecosystems incorporates both theoretical and practical aspects, and serves as base line information for future research. This book is a valuable resource for those working in environmental sciences, soil sciences, agricultural microbiology, plant pathology, and agronomy. - Covers the role of chemicals fertilizers, environmental deposition, and xenobiotics in climate change - Discusses the impact of climate change on plants, soil, microflora, and agricultural ecosystems - Explores the mitigation of climate change by sustainable methods - Presents the role of computational modelling in climate change mitigation
Agricultural crops are prominent features of an increasing number of variously perturbed ecosystems and the landscapes occupied by these ecosystems. Yet the ecology of agricultural-dominated landscapes is only now receiving the scientific attention it has long deserved. This attention has been stimulated by the realization that all agriculture must become sustainable year after year while leaving nearby ecosystems unaffected. Ecology in Agriculture focuses exclusively on the ecology of agricultural ecosystems. The book is divided into four major sections. An introduction establishes the unique ties between agricultural and ecological sciences. The second section describes the community ecology of these sorts of ecosystems, while the final section focuses on the processes that operate throughout these agricultural landscapes. - Contains an ecological perspective on agricultural production and resource utilization - Includes in-depth reviews of major issues in crop ecology by active researchers - Covers a range of topics in agricultural ecophysiology, community ecology, and ecosystems ecology - Provides examples of ecological approaches to solving problems in crop management and environmental quality
The digital agriculture revolution holds a promise to build an agriculture and food system that is efficient, environmentally sustainable, and equitable, one that can help deliver the Sustainable Development Goals. Unlike past technological revolutions in agriculture, which began on farms, the current revolution is being sparked at multiple points along the agrifood value chain. The change is driven by the ability to collect, use, and analyze massive amounts of machine-readable data about practically every aspect of the value chain, and by the emergence of digital platforms disrupting existing business models. All this allows for drastically reduced transaction costs and pervasive information asymmetries that plague the agrifood system. The success of the digital transformation, however, is not guaranteed as the risks it brings are numerous, including those related to data governance and inadequate competition within and between digital platforms. What’s Cooking: Digital Transformation of the Agrifood System investigates how digital technologies can accelerate the transformation of the agrifood system by increasing efficiency on the farm; improving farmers’ access to output, input, and financial markets; strengthening quality control and traceability; and improving the design and delivery of agriculture policies. It also identifies a key role for the public sector in maximizing the benefits of this process while minimizing its risks, through enabling an innovation ecosystem featuring open datasets, digital platforms, digital entrepreneurship, digital payment systems, and digital skills and encouraging equitable technology adoption.
Agro-Ecosystem Diversity: Impact on Food Security and Environmental Quality presents cutting-edge exploration of developing novel farming systems and introduces landscape ecology to agronomy. It encompasses the broad range of links between agricultural development and ecological impact and how to limit the potential negative results. Presented in seven sections, each focusing on a specific challenge to sustaining diversity, the book provides insights toward the argument that by re-introducing diversity, it should be possible to maintain a high level of productivity of agro-ecosystems while also maintaining and/or restoring a satisfactory level of environment quality and biodiversity. - Demonstrates that diversified agro-ecosystems can be intensified with environmental quality preserved, restored and enhanced - Includes analysis of economic constraints leading to specialization of farms and regions and the social locking forces resisting to diversification of agro-ecosystems - Presents a global vision of world agriculture and the tradeoff between a necessary increase in food production and restoring environment quality
This book represents a current look at what we know about organic farming practices and systems, primarily from the U.S. and Canadian perspectives. the discussion begins with history and certification, ecological knowledge as the foundation for sustaining food systems, and biodiversity. The next chapters address crop-animal systems; forages, grain, oil seed, and specialty crops; organic cropping and soil nutrient needs; and vegetation and pest management. Readers will next learn about marketing organics, organic foods and food security, and education and research. The book concludes with a survey of the future of organic farming and a perspective on the agricultural industry and the future of the rural sector.--COVER.
As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
Managing the ability of agriculture to meet rising global demand and to respond to the changes and opportunities will require good policy, sustained investments, and innovation - not business as usual. Investments in public Research and Development, extension, education, and their links with one another have elicited high returns and pro-poor growth, but these investments alone will not elicit innovation at the pace or on the scale required by the intensifying and proliferating challenges confronting agriculture. Experience indicates that aside from a strong capacity in Research and Development, the ability to innovate is often related to collective action, coordination, the exchange of knowledge among diverse actors, the incentives and resources available to form partnerships and develop businesses, and conditions that make it possible for farmers or entrepreneurs to use the innovations. While consensus is developing about what is meant by 'innovation' and 'innovation system', no detailed blueprint exists for making agricultural innovation happen at a given time, in a given place, for a given result. The AIS approach that looks at these multiple conditions and relationships that promote innovation in agriculture, has however moved from a concept to a sub-discipline with principles of analysis and action. AIS investments must be specific to the context, responding to the stage of development in a particular country and agricultural sector, especially the AIS. This sourcebook contributes to identifying, designing, and implementing the investments, approaches, and complementary interventions that appear most likely to strengthen AIS and to promote agricultural innovation and equitable growth. It emphasizes the lessons learned, benefits and impacts, implementation issues, and prospects for replicating or expanding successful practices. The information in this sourcebook derives from approaches that have been tested at different scales in different contexts. It reflects the experiences and evolving understanding of numerous individuals and organizations concerned with agricultural innovation, including the World Bank. This information is targeted to the key operational staff in international and regional development agencies and national governments who design and implement lending projects and to the practitioners who design thematic programs and technical assistance packages. The sourcebook can also be an important resource for the research community and nongovernmental organizations (NGOs).