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Author : Pierre Bonnet
Publisher : Frontiers Media SA
ISBN 13 : 2832505619
Total Pages : 259 pages
Book Rating : 4.8/5 (325 download)
Download or read book Plant Biodiversity Science in the Era of Artificial Intelligence written by Pierre Bonnet and published by Frontiers Media SA. This book was released on 2022-11-15 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : OECD
Publisher : OECD Publishing
ISBN 13 : 9264446214
Total Pages : 300 pages
Book Rating : 4.2/5 (644 download)
Download or read book Artificial Intelligence in Science Challenges, Opportunities and the Future of Research written by OECD and published by OECD Publishing. This book was released on 2023-06-26 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI.
Author : Alexis Joly
Publisher :
ISBN 13 : 9783319764467
Total Pages : pages
Book Rating : 4.7/5 (644 download)
Download or read book Multimedia Tools and Applications for Environmental & Biodiversity Informatics written by Alexis Joly and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This edited volume focuses on the latest and most impactful advancements of multimedia data globally available for environmental and earth . The data reflects the status, behavior, change as well as human interests and concerns which are increasingly crucial for understanding environmental issues and phenomena. This volume addresses the need for the development of advanced methods, techniques and tools for collecting, managing, analyzing, understanding and modeling environmental & biodiversity data, including the automated or collaborative species identification, the species distribution modeling and their environment, such as the air quality or the bio-acoustic monitoring. Researchers and practitioners in multimedia and environmental topics will find the chapters essential to their continued studies."--
Author : Elena G. Popkova
Publisher : Frontiers Media SA
ISBN 13 : 2832523722
Total Pages : 131 pages
Book Rating : 4.8/5 (325 download)
Download or read book Evolution of environmental economics & management in the age of artificial intelligence for sustainable development written by Elena G. Popkova and published by Frontiers Media SA. This book was released on 2023-06-06 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Maliheh Eftekhari
Publisher : Frontiers Media SA
ISBN 13 : 2832549713
Total Pages : 246 pages
Book Rating : 4.8/5 (325 download)
Download or read book Applications of artificial intelligence, machine learning, and deep learning in plant breeding written by Maliheh Eftekhari and published by Frontiers Media SA. This book was released on 2024-05-29 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An important subset of AI is Machine Learning (ML), in which a computer is provided with the capacity to learn its own patterns instead of the patterns and restrictions set by a human programmer, thus improving from experience. Deep Learning (DL), as a class of ML techniques, employs multilayered neural networks. The application of AI to plant science research is new and has grown significantly in recent years due to developments in calculation power, proficien-cies of hardware, and software progress. AI algorithms try to provide classifications and predic-tions. As applied to plant breeding, particularly omics data, ML as a given AI algorithm tries to translate omics data, which are intricate and include nonlinear interactions, into precise plant breeding. The applications of AI are extending rapidly and enhancing intensely in sophistication owing to the capability of rapid processing of huge and heterogeneous data. The conversion of AI techniques into accurate plant breeding is of great importance and will play a key role in the new era of plant breeding techniques in the coming years, particularly multi-omics data analysis. Advancements in plant breeding mainly depend upon developing statistical methods that harness the complicated data provided by analytical technologies identifying and quantifying genes, transcripts, proteins, metabolites, etc. The systems biology approach used in plant breeding, which integrates genomics, transcriptomics, proteomics, metabolomics, and other omics data, provides a massive amount of information. It is essential to perform accurate statistical analyses and AI methods such as ML and DL as well as optimization techniques to not only achieve an understanding of networks regulation and plant cell functions but develop high-precision models to predict the reaction of new Genetically Modified (GM) plants in special conditions. The constructed models will be of great economic importance, significantly reducing the time, labor, and instrument costs when finding optimized conditions for the bio-exploitation of plants. This Research Topic covers a wide range of studies on artificial intelligence-assisted plant breeding techniques, which contribute to plant biology and plant omics research. The relevant sub-topics include, but are not restricted to, the following: • AI-assisted plant breeding using omics and multi-omics approaches • Applying AI techniques along with multi-omics to recognize novel biomarkers associated with plant biological activities • Constructing up-to-date ML modeling and analyzing methods for dealing with omics data related to different plant growth processes • AI-assisted omics techniques in the plant defense process • Combining AI-assisted omics and multi-omics techniques using plant system biology approaches • Combining bioinformatics tools with AI approaches to analyze plant omics data • Designing cutting-edge workflow and developing innovative AI biology methods for omics data analysis
Author : Alok Choudhary
Publisher : World Scientific
ISBN 13 : 9811265682
Total Pages : 803 pages
Book Rating : 4.8/5 (112 download)
Download or read book Artificial Intelligence For Science: A Deep Learning Revolution written by Alok Choudhary and published by World Scientific. This book was released on 2023-03-21 with total page 803 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Peter Dauvergne
Publisher : MIT Press
ISBN 13 : 0262359588
Total Pages : 278 pages
Book Rating : 4.2/5 (623 download)
Download or read book AI in the Wild written by Peter Dauvergne and published by MIT Press. This book was released on 2020-09-15 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability.
Author : Paul Bourgine
Publisher : Springer
ISBN 13 : 3319459015
Total Pages : 424 pages
Book Rating : 4.3/5 (194 download)
Download or read book First Complex Systems Digital Campus World E-Conference 2015 written by Paul Bourgine and published by Springer. This book was released on 2016-12-24 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings as well as invited papers for the first annual conference of the UNESCO Unitwin Complex System Digital Campus (CSDC), which is an international initiative gathering 120 Universities on four continents, and structured in ten E-Departments. First Complex Systems Digital Campus World E-Conference 2015 features chapters from the latest research results on theoretical questions of complex systems and their experimental domains. The content contained bridges the gap between the individual and the collective within complex systems science and new integrative sciences on topics such as: genes to organisms to ecosystems, atoms to materials to products, and digital media to the Internet. The conference breaks new ground through a dedicated video-conferencing system – a concept at the heart of the international UNESCO UniTwin, embracing scientists from low-income and distant countries. This book promotes an integrated system of research, education, and training. It also aims at contributing to global development by taking into account its social, economic, and cultural dimensions. First Complex Systems Digital Campus World E-Conference 2015 will appeal to students and researchers working in the fields of complex systems, statistical physics, computational intelligence, and biological physics.
Author : Irene L. Hudson
Publisher : Springer Science & Business Media
ISBN 13 : 9048133351
Total Pages : 525 pages
Book Rating : 4.0/5 (481 download)
Download or read book Phenological Research written by Irene L. Hudson and published by Springer Science & Business Media. This book was released on 2009-11-24 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact. A multidisciplinary science involving many branches of ecology, geography and remote sensing, phenology to date has lacked a coherent methodological text. This new synthesis, including contributions from many of the world’s leading phenologists, therefore fills a critical gap in the current biological literature. Providing critiques of current methods, as well as detailing novel and emerging methodologies, the book, with its extensive suite of references, provides readers with an understanding of both the theoretical basis and the potential applications required to adopt and adapt new analytical and design methods. An invaluable source book for researchers and students in ecology and climate change science, the book also provides a useful reference for practitioners in a range of sectors, including human health, fisheries, forestry, agriculture and natural resource management.
Author : Michelle Cristine Medeiros Jacob
Publisher : Springer Nature
ISBN 13 : 303069139X
Total Pages : 420 pages
Book Rating : 4.0/5 (36 download)
Download or read book Local Food Plants of Brazil written by Michelle Cristine Medeiros Jacob and published by Springer Nature. This book was released on 2021-06-03 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been growing academic interest in local food plants. This is a subject that lies at the frontiers of knowledge of various areas, such as environmental sciences, nutrition, public health, and humanities. To date, however, we do not have a book bringing these multi-disciplinary perspectives to bear on this complex field. This book presents the current state of knowledge on local Brazilian food plants through a multidisciplinary approach, including an overview of food plants in Brazil, as well as comprehensive nutritional data. It compiles basic theories on the interrelationship between biodiversity and food and nutrition security, as well as ethnobotanical knowledge of local Brazilian food plants. Additionally, this title provides various methods of learning and teaching the subject, including through social media, artificial intelligence, and through workshops, among others.
Author : Émilie Kohlmann
Publisher : John Wiley & Sons
ISBN 13 : 1394297572
Total Pages : 260 pages
Book Rating : 4.3/5 (942 download)
Download or read book Linking with Nature in the Digital Age written by Émilie Kohlmann and published by John Wiley & Sons. This book was released on 2024-05-29 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of digital technology in our societies is growing to meet the ever-increasing challenges of data collection, raising awareness, education and understanding nature. Artificial intelligence, for example, appears to be the answer to collecting massive amounts of data on biodiversity at a global scale and facilitating citizen participation in such data collection. Linking with Nature in the Digital Age explores the reconfiguration of our relationship with nature within this digital framework. This book examines this mediated linking from three angles. Firstly, it shows how digital technology can foster the development of links to nature. Then, it describes in greater detail the materiality of these links and how they have evolved with the developments in information technology. Finally, it questions the belief in the digital as a facilitator and opens up new perspectives on our relationship with nature and the living world
Author : Shengquan Yu
Publisher : Springer Nature
ISBN 13 : 9811627703
Total Pages : 205 pages
Book Rating : 4.8/5 (116 download)
Download or read book An Introduction to Artificial Intelligence in Education written by Shengquan Yu and published by Springer Nature. This book was released on 2021-11-29 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically reviews a broad range of cases in education that utilize cutting-edge AI technologies. Furthermore, it introduces readers to the latest findings on the scope of AI in education, so as to inspire researchers from non-technological fields (e.g. education, psychology and neuroscience) to solve education problems using the latest AI techniques. It also showcases a number of established AI systems and products that have been employed for education. Lastly, the book discusses how AI can offer an enabling technology for critical aspects of education, typically including the learner, content, strategy, tools and environment, and what breakthroughs and advances the future holds. The book provides an essential resource for researchers, students and industrial practitioners interested and engaged in the fields of AI and education. It also offers a convenient handbook for non-professional readers who need a primer on AI in education, and who want to gain a deeper understanding of emerging trends in this domain.
Author : Arun Lal Srivastav
Publisher : Elsevier
ISBN 13 : 0323997155
Total Pages : 500 pages
Book Rating : 4.3/5 (239 download)
Download or read book Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence written by Arun Lal Srivastav and published by Elsevier. This book was released on 2022-11-11 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action. Includes case studies on the application of AI and machine learning for monitoring climate change effects and management Features applications of software and algorithms for modeling and forecasting climate change Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability
Author : Pavan Kumar
Publisher : Springer Nature
ISBN 13 : 9811909288
Total Pages : 366 pages
Book Rating : 4.8/5 (119 download)
Download or read book Agro-biodiversity and Agri-ecosystem Management written by Pavan Kumar and published by Springer Nature. This book was released on 2022-07-15 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book collates latest findings in the field of agro-biodiversity and agri-ecosystem management across the globe through selected case studies. The primary aim of the book is to cover agro-biodiversity and agri-ecosystem advancements in the field of agricultural resource management. The book explores a range of technologies that support sustainable use of resources and facilities, such as Natural Resource Management (NRM), Resource Conservation Technologies (RCTs), Integrated Farming System (IFS), Integrated Crop Management (ICM), Integrated Nutrient Management (INM), use of solar energy, promotion of agro-ecological zone specific agricultural production, application of climate resilient technologies, secondary agricultural practices and post-harvest technologies. Agro-biodiversity and agri-ecosystem not only contributes to overall growth of the economy but also reduces poverty by providing employment and food security to the majority of the population in the continent and thus it is the most inclusive growth sectors of the economy of Asian and African countries. The book is relevant for researchers and policy makes in the field of agriculture, food system research, ecology, agricultural diversification, resource management etc.
Author : Kavita Saini
Publisher : CRC Press
ISBN 13 : 1040019196
Total Pages : 206 pages
Book Rating : 4.0/5 (4 download)
Download or read book Artificial Intelligence in Forensic Science written by Kavita Saini and published by CRC Press. This book was released on 2024-08-26 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Forensic Science addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices. The book also showcases the increasing benefits of AI where and when it can be applied to various techniques and forensic disciplines. The increasing rate of sophisticated crimes has increased the opportunity and need for the forensic field to explore a variety of emerging technologies to counter criminals—and AI is no exception. There are many current investigative challenges that, with ingenuity and application, can be helped with the application of AI, especially in the digital forensic and cyber-crime arena. The book also explains many practical studies that have been carried out to test AI technologies in crime detection, uncovering evidence, and identifying perpetrators. In the last decade, the use of AI has become common in many fields and now is an ideal time to look at the various ways AI can be integrated into judicial, forensic, and criminal cases to better collect and analyze evidence, thereby improving outcomes.
Author : Alistair Nolan
Publisher : Fondation Ipsen BookLab
ISBN 13 : 9264332286
Total Pages : 595 pages
Book Rating : 4.2/5 (643 download)
Download or read book Artificial intelligence in science written by Alistair Nolan and published by Fondation Ipsen BookLab. This book was released on 2024-01-05 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI. Utilising AI to accelerate scientific productivity will support the ability of OECD countries to grow, innovate and meet global challenges, from climate change to new contagions. This publication is aimed at a broad readership, including policy makers, the public, and stakeholders in all areas of science. It is written in non-technical language and gathers the perspectives of prominent researchers and practitioners. The book examines various topics, including the current, emerging, and potential future uses of AI in science, where progress is needed to better serve scientific advancements, and changes in scientific productivity. Additionally, it explores measures to expedite the integration of AI into research in developing countries. A distinctive contribution is the book’s examination of policies for AI in science. Policy makers and actors across research systems can do much to deepen AI’s use in science, magnifying its positive effects, while adapting to the fast-changing implications of AI for research governance. ABOUT THE AUTHOR Alistair Nolan is a Senior Policy Analyst in the OECD’s Directorate for Science, Technology and Innovation. Prior to the OECD, Mr. Nolan led a range of industry-related analytic and technical assistance projects with the United Nations. Over a number of years at the OECD Alistair has been involved in work on skills and education assessment, entrepreneurship, private sector development and policy evaluation. Alistair is currently coordinating various streams of OECD work on artificial intelligence, and is overseeing the work on AI diffusion under the AI-WIPS project. Mr. Nolan oversaw preparation of the 2017 publication "The Next Production Revolution: Implications for Governments and Business", which examines a variety of emerging technologies, their impacts and policy implications, and which was referenced at the start of the 2017 G7 Taormina Action Plan. Mr. Nolan led work on 2020 publication "The Digitalisation of Science, Technology and Innovation : Key Developments and Policies", which among other topics addresses the role of AI in advanced production.
Author : Aitazaz Ahsan Farooque
Publisher : Frontiers Media SA
ISBN 13 : 283254407X
Total Pages : 172 pages
Book Rating : 4.8/5 (325 download)
Download or read book Spotlight on Artificial Intelligence (AI) for Sustainable Plant Production written by Aitazaz Ahsan Farooque and published by Frontiers Media SA. This book was released on 2024-03-15 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Agricultural industry is always at risk - crops are affected by weather, diseases and pests. When a global pandemic hits suddenly, it becomes very difficult to manage various processes because most are not digital. In parallel, the rapid increase in the population and urbanization, demands more food production on less land. Farming under the demand pressure by increasing input consumption, leads to increases costs and negative impacts to the environment such as decreasing soil fertility continuously over time. There is therefore the need to move beyond traditional farming. To produce more yield in the agricultural field, there is the need to dig deep into the technological field and apply sensors, Internet of Things (IoT), big data analytics, cloud computing and machine learning (ML) and deep learning (DL) techniques. Better decision making, prediction and reliability depend upon high level of knowledge base and perceptions.
