Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development PDF Download

Author: Hugh F. Williamson
Publisher: Springer Nature
ISBN: 3031132769
Category : Science
Languages : en
Pages : 327

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Book Description
This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used for the benefit of ensuring global food security – one of the UN’s Sustainable Development Goals. The volume focuses on the contemporary contours of such challenges through sustained engagement with current and historical initiatives and discussion of best practices and prospective future directions for ensuring responsible plant data linkage. The volume is divided into four sections that include case studies of plant data use and linkage in the context of particular research projects, breeding programs, and historical research. It address technical challenges of data linkage in developing key tools, standards and infrastructures, and examines governance challenges of data linkage in relation to socioeconomic and environmental research and data collection. Finally, the last section addresses issues raised by new data production and linkage methods for the inclusion of agriculture’s diverse stakeholders. This book brings together leading experts in data curation, data governance and data studies from a variety of fields, including data science, plant science, agricultural research, science policy, data ethics and the philosophy, history and social studies of plant science.

Author: Saravanan Krishnan
Publisher: CRC Press
ISBN: 1000991482
Category : Computers
Languages : en
Pages : 386

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Book Description
Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems. This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.

Author: Sabina Leonelli
Publisher: Cambridge University Press
ISBN: 1009416405
Category : Science
Languages : en
Pages : 148

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Book Description
This Element proposes to frame openness in the Open Science [OS] movement as the effort to establish judicious connections among systems of practice, predicated on a process-oriented view of research as a tool for effective and responsible agency. This title is also available as Open Access on Cambridge Core.

Author: Lakshmi D
Publisher: CRC Press
ISBN: 1040038832
Category : Technology & Engineering
Languages : en
Pages : 335

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Book Description
This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.

Author: Alok Choudhary
Publisher: World Scientific
ISBN: 9811265682
Category : Computers
Languages : en
Pages : 803

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Book Description
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.

Author: Tom Dedeurwaerdere
Publisher: Taylor & Francis
ISBN: 1003827586
Category : Business & Economics
Languages : en
Pages : 187

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Book Description
This book addresses the gap in the existing literature on the governance of transdisciplinary research partnerships in transformational sustainability research by exploring the governance of knowledge co-production in coupled socio-ecological system dynamics. Multiple social and ecological crises raise new cross-sectoral research questions that call for an evolution in contemporary science in the direction of society-wide knowledge co-production on sustainability transformations of interdependent social and ecological systems. This book proposes a new approach to this based on enabling capacities for collaboration among scientific researchers and societal actors with diverse values, perspectives, and research interests. By drawing upon the thriving literature on the conditions for community and multistakeholder-driven collective action, the analysis sheds new light on the governance arrangements for organizing so-called transdisciplinary research partnerships for sustainability. This book identifies robust conditions that lead to effective collaborative research with societal actors and digs deeper into capacity building for partnership research through fostering social learning on sustainability values among research partners and organizing training and knowledge exchange at institutions of higher education. The book proposes solutions for addressing collective action challenges in transdisciplinary partnerships in an accessible and broadly interdisciplinary manner to a large audience of sustainability scholars and practitioners. It will be of interest to students and researchers in the fields of sustainable development, social ecological transitions, and science policy, while also being a useful resource for engineers, QSE managers, and policymakers.

Author: Sundaravadivazhagan Balasubaramanian
Publisher: Springer Nature
ISBN: 3031511956
Category :
Languages : en
Pages : 479

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Book Description

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309473926
Category : Science
Languages : en
Pages : 243

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Book Description
For nearly a century, scientific advances have fueled progress in U.S. agriculture to enable American producers to deliver safe and abundant food domestically and provide a trade surplus in bulk and high-value agricultural commodities and foods. Today, the U.S. food and agricultural enterprise faces formidable challenges that will test its long-term sustainability, competitiveness, and resilience. On its current path, future productivity in the U.S. agricultural system is likely to come with trade-offs. The success of agriculture is tied to natural systems, and these systems are showing signs of stress, even more so with the change in climate. More than a third of the food produced is unconsumed, an unacceptable loss of food and nutrients at a time of heightened global food demand. Increased food animal production to meet greater demand will generate more greenhouse gas emissions and excess animal waste. The U.S. food supply is generally secure, but is not immune to the costly and deadly shocks of continuing outbreaks of food-borne illness or to the constant threat of pests and pathogens to crops, livestock, and poultry. U.S. farmers and producers are at the front lines and will need more tools to manage the pressures they face. Science Breakthroughs to Advance Food and Agricultural Research by 2030 identifies innovative, emerging scientific advances for making the U.S. food and agricultural system more efficient, resilient, and sustainable. This report explores the availability of relatively new scientific developments across all disciplines that could accelerate progress toward these goals. It identifies the most promising scientific breakthroughs that could have the greatest positive impact on food and agriculture, and that are possible to achieve in the next decade (by 2030).

Author: Carden, Fred
Publisher: Intl Food Policy Res Inst
ISBN:
Category : Political Science
Languages : en
Pages : 39

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Book Description
Despite Agricultural Science and Technology Indicators’ (ASTI) global and regional visibility-and the use of its data for institutional decision-making by various national agricultural research institutes-the incorporation of ASTI evidence into national policymaking remains mostly ad hoc and is often indirect. Moreover, interventions to influence the uptake of ASTI data for this purpose have been limited. Given agricultural research’s important role in increasing agricultural productivity, economic growth, and poverty reduction, ASTI initiated a pilot study in three African countries (Ethiopia, Nigeria, and Tanzania) to develop a clearer understanding of how to promote the uptake of agricultural research evidence. The study focused on how evidence in general, and ASTI evidence in particular, could be more effectively integrated at the national level, particularly to promote the allocation of sustainable resources to agricultural research. The study was conducted in two stages: (1) the mapping of each country’s agricultural research interests and issues; and (2) identifying initial activities through which those interests offered opportunities both to fill research gaps and enhance the utility of agricultural research. Findings from the pilot studies point to opportunities for improving the availability, accessibility, appropriateness, and ownership of ASTI evidence to ensure that it contributes more effectively as a valuable resource for decision-making. Strong relationships and networks are needed to increase awareness of ASTI evidence and to institute linkages with official national data systems. Outcomes indicated both interest in the evidence and recognition of its merit. Greater outreach and connectivity with local institutions may be useful next steps. These findings lead to some general recommendations for improving the use of evidence, along with specific recommendations for the ASTI network approach moving forward. Shifting ownership of the data and systems to the regional and national levels-a key objective of the network approach-is a long-term undertaking. A transition period is needed, accompanied by a strategic plan to shift responsibility and action, first to the regional level and then to the national level where feasible.

Author: Fabien Girard
Publisher:
ISBN: 9781138087583
Category : Agriculture
Languages : en
Pages : 0

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Book Description
This book shows how social science can contribute towards reconfiguring legal frameworks to achieve a balance between the requirements of agricultural innovation and access to genetic resources and protection of agrobiodiversity.