Artificial Intelligence and Advanced Analytics for Food Security

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Author :
Publisher : CRC Press
ISBN 13 : 1000919153
Total Pages : 548 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Artificial Intelligence and Advanced Analytics for Food Security by : Chandrasekar Vuppalapati

Download or read book Artificial Intelligence and Advanced Analytics for Food Security written by Chandrasekar Vuppalapati and published by CRC Press. This book was released on 2023-07-17 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has fallen upon the practitioners of agriculture and technologists of the world to innovate and become more productive to address the multi-pronged food security challenges. Agricultural innovation is key to managing food security concerns. The infusion of data science, artificial intelligence (AI), advanced analytics, satellites data, geospatial data, climatology, sensor technologies, and climate modeling with traditional agricultural practices such as soil engineering, fertilizers use, and agronomy are some of the best ways to achieve this. Data science helps farmers to unravel patterns in fertilizer pricing, equipment usage, transportation and storage costs, yield per hectare, and weather trends to better plan and spend resources. AI enables farmers to learn from fellow farmers to apply best techniques that are transferred learning from AI to improve agricultural productivity and to achieve financial sustainability. Sensor technologies play an important role in getting real-time farm field data and provide feedback loops to improve overall agricultural practices and can yield huge productivity gains. Advanced Analytics modeling is essential software technique that codifies farmers’ tacit knowledge such as better seed per soil, better feed for dairy cattle breed, or production practices to match weather pattern that was acquired over years of their hard work to share with worldwide farmers to improve overall production efficiencies, the best antidote to food security issue. In addition to the paradigm shift, economic sustainability of small farms is a major enabler of food security. The book reviews all these technological advances and proposes macroeconomic pricing models that data mines macroeconomic signals and the influence of global economic trends on small farm sustainability to provide actionable insights to farmers to avert any financial disasters due to recurrent economic crises.

Artificial Intelligence and Heuristics for Enhanced Food Security

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Author :
Publisher : Springer Nature
ISBN 13 : 3031087437
Total Pages : 910 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence and Heuristics for Enhanced Food Security by : Chandrasekar Vuppalapati

Download or read book Artificial Intelligence and Heuristics for Enhanced Food Security written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on 2022-09-16 with total page 910 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to advanced data science techniques for signal mining in connection with agriculture. It shows how to apply heuristic modeling to improve farm-level efficiency, and how to use sensors and data intelligence to provide closed-loop feedback, while also providing recommendation techniques that yield actionable insights. The book also proposes certain macroeconomic pricing models, which data-mine macroeconomic signals and the influence of global economic trends on small-farm sustainability to provide actionable insights to farmers, helping them avoid financial disasters due to recurrent economic crises. The book is intended to equip current and future software engineering teams and operations research experts with the skills and tools they need in order to fully utilize advanced data science, artificial intelligence, heuristics, and economic models to develop software capabilities that help to achieve sustained food security for future generations.

Assessing Policy Effectiveness using AI and Language Models

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Publisher : Springer Nature
ISBN 13 : 3031560973
Total Pages : 481 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Assessing Policy Effectiveness using AI and Language Models by : Chandrasekar Vuppalapati

Download or read book Assessing Policy Effectiveness using AI and Language Models written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Specialty Crops for Climate Change Adaptation

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Publisher : Springer Nature
ISBN 13 : 3031383990
Total Pages : 836 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Specialty Crops for Climate Change Adaptation by : Chandrasekar Vuppalapati

Download or read book Specialty Crops for Climate Change Adaptation written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on 2023-11-15 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Specialty crops are defined as fruits and vegetables, tree nuts, dried fruits, horticulture, and nursery crops including floriculture. The value of specialty crop production in the United States accounted for 18.44 % of the $433.569 billion in agriculture cash receipts collected in 2021. In 2020, that ratio was 21.47% of the $363.464 billion. Specialty crops are gaining increasing attention across nation as demonstrated in the 2018 farm bill (Agricultural Act of the 2018 Farm Bill (P.L. 115-334)) with the increased number of provisions addressing specialty crop issues, reflecting their growing role in the global economy. The cultivation of Specialty crops, nevertheless, has its own challenges. Specialty crops are generally more sensitive to climatic stressors and require more comprehensive management compared to traditional row crops. Specialty crops face significant financial risks threatening US$1.6 Trillion global market due to their higher water demand. The mission of the book is to prepare current and future software engineering teams, agriculture students, economists, macroeconomists with the skills and tools to fully utilize advanced data science, artificial intelligence, climate patterns, and economic models to develop software capabilities that help to achieve Specialty crops and economic sustainability, through improved productivity for years to come and ensure enough food for the future of the planet and generations to come!

Applied Machine Learning and Data Analytics

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Publisher : Springer Nature
ISBN 13 : 3031554868
Total Pages : 287 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Applied Machine Learning and Data Analytics by : M. A. Jabbar

Download or read book Applied Machine Learning and Data Analytics written by M. A. Jabbar and published by Springer Nature. This book was released on with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

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Publisher : Springer Nature
ISBN 13 : 303059338X
Total Pages : 648 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by : Aboul Ella Hassanien

Download or read book Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-12-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Intelligent Data Analytics for Bioinformatics and Biomedical Systems

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Publisher : John Wiley & Sons
ISBN 13 : 1394270895
Total Pages : 328 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Intelligent Data Analytics for Bioinformatics and Biomedical Systems by : Neha Sharma

Download or read book Intelligent Data Analytics for Bioinformatics and Biomedical Systems written by Neha Sharma and published by John Wiley & Sons. This book was released on 2024-10-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.

Democracy, Leadership and Governance – Application of Artificial Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 9819977355
Total Pages : 472 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Democracy, Leadership and Governance – Application of Artificial Intelligence by : K. Gireesan

Download or read book Democracy, Leadership and Governance – Application of Artificial Intelligence written by K. Gireesan and published by Springer Nature. This book was released on with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Smart Food Safety

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Author :
Publisher : Elsevier
ISBN 13 : 0443313571
Total Pages : 372 pages
Book Rating : 4.4/5 (433 download)

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Book Synopsis Smart Food Safety by :

Download or read book Smart Food Safety written by and published by Elsevier. This book was released on 2024-08-04 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart food safety series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. - Provides the latest information on food research - Offers outstanding and original reviews on a range of food research topics - Serves as an indispensable reference for researchers and students alike

The Future of Artificial Intelligence: Trends and Implications

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Author :
Publisher : Richards Education
ISBN 13 :
Total Pages : 145 pages
Book Rating : 4./5 ( download)

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Book Synopsis The Future of Artificial Intelligence: Trends and Implications by : Michael Roberts

Download or read book The Future of Artificial Intelligence: Trends and Implications written by Michael Roberts and published by Richards Education. This book was released on with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a comprehensive journey into the world of artificial intelligence with The Future of Artificial Intelligence: Trends and Implications. This insightful guide explores the multifaceted impact of AI on various aspects of our lives, from technological advancements and business innovations to ethical concerns and societal implications. Delve into the emerging trends shaping industries like healthcare, finance, education, and more. Understand the profound effects of AI on the future of work, daily life, global challenges, and beyond. With expert analysis and forward-thinking perspectives, this book prepares you to navigate the rapidly evolving landscape of AI, empowering you to understand and embrace the transformative potential of this groundbreaking technology.

Accelerating the Transition to a Hydrogen Economy

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Publisher : Elsevier
ISBN 13 : 0443140383
Total Pages : 474 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Accelerating the Transition to a Hydrogen Economy by : Tonni Agustiono Kurniawan

Download or read book Accelerating the Transition to a Hydrogen Economy written by Tonni Agustiono Kurniawan and published by Elsevier. This book was released on 2024-11-29 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerating the Transition to a Hydrogen Economy: Achieving Carbon Neutrality provides a guide to the transition to net zero carbon emissions through the hydrogen economy. Within the context of the Industrial Revolution 4.0, the book explores the implications of the hydrogen economy on the nexus of food-waste-energy and provides an overview of the impacts of the hydrogen economy on the energy industry. The book examines the role of the hydrogen economy in achieving net zero carbon emissions in the waste sector, methods for achieving decarbonization in different industries and parts of the economy, and the technologies that can achieve this. Each chapter provides a synopsis of the fundamental knowledge and latest developments to ensure readers of all experience levels and backgrounds can benefit from the book. Future perspectives and actionable next steps are suggested alongside case studies that provide a roadmap to decarbonization. - Evaluates the nexus of technology, society, environment, and economics for the hydrogen economy from the perspective of sustainability - Critically analyzes current and potential contributions of the hydrogen economy to net zero carbon emission - Offers insights to government and policymakers on how to support and accelerate the hydrogen economy for decarbonization

Handbook of Sustainability Science in the Future

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Publisher : Springer Nature
ISBN 13 : 3031045602
Total Pages : 1984 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Handbook of Sustainability Science in the Future by : Walter Leal Filho

Download or read book Handbook of Sustainability Science in the Future written by Walter Leal Filho and published by Springer Nature. This book was released on 2023-08-14 with total page 1984 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humanity will have to cope with many problems in the coming decades: for instance, the world population is likely grow to to 8,8 billion people by 2035. Also, changing climate conditions are negatively affecting the livelihoods of millions of people. In particular, environmental disasters are causing substantial damages to properties. From a social perspective, the inequalities between rich and poor nations are becoming even deeper, and in many countries, conflicts between national and international interest groups are intensifying.The above state of affairs suggest that a broader understanding of the trends which may lead to a more sustainable world is needed, especially those which may pave the way for future developments. In other words, we need to pave the way for sustainable futures.Consistent with this reality, the proposed Encyclopedia of Sustainability Futures aims to identify, document and disseminate ideas, experiences and visions from scientists, member of nongovernmental organisations, decision-makers industry representatives and citizens, on themes and issues which will be important in pursuing sustainable future scenarios. In particular, the publication will focus on scientific aspects, as well as on social and economic ones, also considering matters related to financing and infra-structures, which are important in pursuing a sustainable future.The Encyclopedia of Sustainability Futures will involve the contributing authors in line with theprinciple of co-generation, from across a wide range of disciplines, e.g. education and social sciences, natural sciences, engineering, the arts, languages etc, with papers adopting a long-term sustainability perspective, with a time horizon until 2050. The focus will be on themes which are felt as important in the future, and the chapters are expected to interest and motivate a world audience.This book is part of the "100 papers to accelerate the implementation of the UN Sustainable Development Goals initiative"!

Artificial Intelligence and Information Technologies

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Publisher : CRC Press
ISBN 13 : 1040115985
Total Pages : 590 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Artificial Intelligence and Information Technologies by : Arvind Dagur

Download or read book Artificial Intelligence and Information Technologies written by Arvind Dagur and published by CRC Press. This book was released on 2024-07-31 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of a non-profit conference with the objective of providing a platform for academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence and information technologies. It begins with exploring the research and innovation in the field of Artificial Intelligence and information technologies, including secure transaction, monitoring, real time assistance and security for advanced stage learners, researchers and academicians has been presented. It goes on to cover: Broad knowledge and research trends about Artificial Intelligence and information technologies and their role in today’s digital era Depiction of system model and architecture for clear picture of Artificial Intelligence in real life Discussion on the role of Artificial Intelligence in various real-life problems such as banking, healthcare, navigation, communication and security Explanation of the challenges and opportunities in Artificial Intelligence-based healthcare, education, banking and related industries Recent information technologies and challenges in this new epoch This book will be beneficial to researchers, academicians, undergraduate students, postgraduate students, research scholars, professionals, technologists and entrepreneurs.

Harnessing Big Data in Food Safety

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Publisher : Springer Nature
ISBN 13 : 3031071794
Total Pages : 166 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Harnessing Big Data in Food Safety by : Jeffrey Farber

Download or read book Harnessing Big Data in Food Safety written by Jeffrey Farber and published by Springer Nature. This book was released on 2022-11-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices. This book is designed to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data requires the use of sophisticated approaches for cleaning, processing and extracting useful information to improve decision-making. The contributed volume reviews some of these approaches and algorithms in the context of real-world food safety studies. Food safety and quality related data are being generated in large volumes and from a variety of sources such as farms, processors, retailers, government organizations, and other industries. The editors have included examples of how big data can be used in the fields of bacteriology, virology and mycology to improve food safety. Additional chapters detail how the big data sources are aggregated and used in food safety and quality areas such as food spoilage and quality deterioration along the supply chain, food supply chain traceability, as well as policy and regulations. The volume also contains solutions to address standardization, data interoperability, and other data governance and data related technical challenges. Furthermore, this volume discusses how the application of machine-learning has successfully improved the speed and/or accuracy of many processes in the food supply chain, and also discusses some of the inherent challenges. Included in this volume as well is a practical example of the digital transformation that happened in Dubai, with a particular emphasis on how data is enabling better decision-making in food safety. To complete this volume, researchers discuss how although big data is and will continue to be a major disruptor in the area of food safety, it also raises some important questions with regards to issues such as security/privacy, data control and data governance, all of which must be carefully considered by governments and law makers.

Machine Learning Approach for Cloud Data Analytics in IoT

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Publisher : John Wiley & Sons
ISBN 13 : 1119785855
Total Pages : 528 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning Approach for Cloud Data Analytics in IoT by : Sachi Nandan Mohanty

Download or read book Machine Learning Approach for Cloud Data Analytics in IoT written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-07-14 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Global food policy report 2023: Rethinking food crisis responses

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Author :
Publisher : Intl Food Policy Res Inst
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4./5 ( download)

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Book Synopsis Global food policy report 2023: Rethinking food crisis responses by : International Food Policy Research Institute (IFPRI)

Download or read book Global food policy report 2023: Rethinking food crisis responses written by International Food Policy Research Institute (IFPRI) and published by Intl Food Policy Res Inst. This book was released on 2023-04-13 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This decade has been marked by multiple, often overlapping, crises. The COVID-19 pandemic, natural disasters, and the ongoing war in Ukraine have all threatened the fabric of our global food systems. But opportunities can be found amid crises, and the world’s food systems have demonstrated surprising resilience. With new evidence on what works, now is the time to rethink how we address food crises. Better prediction, preparation, and resilience building can make future crises less common and less devastating, and improved responses can contribute to greater food security, better nutrition, and sustainable livelihoods.

Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research

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Author :
Publisher : Springer Nature
ISBN 13 : 9819716853
Total Pages : 339 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research by : Gaurav Tripathi

Download or read book Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research written by Gaurav Tripathi and published by Springer Nature. This book was released on with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: