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Harnessing Data Science For Sustainable Agriculture And Natural Resource Management


Harnessing Data Science For Sustainable Agriculture And Natural Resource Management
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Harnessing Data Science For Sustainable Agriculture And Natural Resource Management


Harnessing Data Science For Sustainable Agriculture And Natural Resource Management
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Author : Mehul S. Raval
language : en
Publisher: Springer Nature
Release Date : 2024-12-19

Harnessing Data Science For Sustainable Agriculture And Natural Resource Management written by Mehul S. Raval and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Computers categories.


This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2—zero hunger, 6—clean water and sanitation, 12—responsible consumption and production, 13—climate action, and 15—Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.



Data Science In Agriculture And Natural Resource Management


Data Science In Agriculture And Natural Resource Management
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Author : G. P. Obi Reddy
language : en
Publisher: Springer Nature
Release Date : 2021-10-11

Data Science In Agriculture And Natural Resource Management written by G. P. Obi Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-11 with Technology & Engineering categories.


This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.



Revolutionizing Cybersecurity With Deep Learning And Large Language Models


Revolutionizing Cybersecurity With Deep Learning And Large Language Models
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-04-08

Revolutionizing Cybersecurity With Deep Learning And Large Language Models written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.


As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.



Navigating The Self Service Revolution With Smart Machines


Navigating The Self Service Revolution With Smart Machines
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Author : Verma, Balraj
language : en
Publisher: IGI Global
Release Date : 2025-07-03

Navigating The Self Service Revolution With Smart Machines written by Verma, Balraj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Business & Economics categories.


The rise of smart machines transforms service interactions in various sectors, ushering in the self-service revolution. From AI-powered kiosks in airports to automated checkouts in retail and intelligent virtual assistants in banking, these technologies redefine convenience, efficiency, and customer expectations. As businesses adopt self-service solutions, the challenge lies in implementing the right technologies and ensuring they enhance the user experience. Navigating this revolution requires a careful balance between automation and human-centered design, where smart machines serve as tools to empower human interaction. Navigating the Self-Service Revolution With Smart Machines explores self-service technology as a transformative force in the retail landscape, scrutinizing its complexities, dualities, and far-reaching implications across diverse environments. It delves into the multifaceted nature of self-service technology, examining how its rise reshapes customer experiences, operational efficiencies, and business models in urban centers while contrasting these developments with the challenges in rural areas. This book covers topics such as machine learning, automation, consumer behavior, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.



Prospects Of Artificial Intelligence In The Environment


Prospects Of Artificial Intelligence In The Environment
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Author : Ajitanshu Vedrtnam
language : en
Publisher: Springer Nature
Release Date : 2025-07-19

Prospects Of Artificial Intelligence In The Environment written by Ajitanshu Vedrtnam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.


This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environment. This book presents research at the forefront on applications of artificial intelligence in combating climate change, natural hazards, and textile dyeing pollution (water pollution), for forecasting, assessing air quality trends, and air pollution monitoring. It explains how machine learning can prove to be an efficient technique to forecast the consumption of energy and how AI can be effective for renewable energy systems. Research in this book widens its scope to present the problems, opportunities, and directives for the application of AI systems in engine exhaust prediction. One of the new and interesting things explored is to provide and predict the rate of decay of human lung tissue (due to Particulate Matter exposure) with the help of AI in this book. Likewise, the book opens its scope to various environmental problems and focuses on giving the best solutions with an application of artificial intelligence; this feature makes this book an indispensable guide for environmental scientists and AI researchers of all levels. The book is written comprehensively so that engineering professionals, programmers, environmentalists, graduates, postgraduates, and researchers from beginning/intermediate level to advance level can be enlightened.



Data Analytics And Artificial Intelligence For Earth Resource Management


Data Analytics And Artificial Intelligence For Earth Resource Management
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Author : Deepak Kumar
language : en
Publisher: Elsevier
Release Date : 2024-11-13

Data Analytics And Artificial Intelligence For Earth Resource Management written by Deepak Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Science categories.


Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging



Maintaining A Sustainable World In The Nexus Of Environmental Science And Ai


Maintaining A Sustainable World In The Nexus Of Environmental Science And Ai
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Author : Singh, Bhupinder
language : en
Publisher: IGI Global
Release Date : 2024-08-27

Maintaining A Sustainable World In The Nexus Of Environmental Science And Ai written by Singh, Bhupinder and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Business & Economics categories.


The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.



Using Data Science And Landscape Approach To Sustain Historic Cities


Using Data Science And Landscape Approach To Sustain Historic Cities
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Author : Ali Moazzeni Khorasgani
language : en
Publisher: Springer Nature
Release Date : 2024-09-13

Using Data Science And Landscape Approach To Sustain Historic Cities written by Ali Moazzeni Khorasgani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Computers categories.


This book comprehensively explores sustaining historic cities using a landscape approach and data science. The author offers valuable insights for professionals and enthusiasts interested in preserving and developing urban heritage through a data driven approach. Drawing on the synergy between landscape architecture and data science, the book delves into the intricate interplay between historical, cultural, and environmental factors in urban settings. Readers will understand how to navigate historic cities' complex challenges through case studies, research findings, and practical methodologies. The book equips readers with innovative strategies for preserving the authenticity of these cities while embracing sustainable development practices. By blending theory and real-world applications, this book is a comprehensive guide for creating thriving, resilient, and culturally rich urban environments.



Artificial Intelligence And Information Technologies


Artificial Intelligence And Information Technologies
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Author : Arvind Dagur
language : en
Publisher: CRC Press
Release Date : 2024-07-31

Artificial Intelligence And Information Technologies written by Arvind Dagur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.


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.



Sustainability In Natural Resources Management And Land Planning


Sustainability In Natural Resources Management And Land Planning
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Author : Walter Leal Filho
language : en
Publisher: Springer Nature
Release Date : 2021-08-06

Sustainability In Natural Resources Management And Land Planning written by Walter Leal Filho and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-06 with Science categories.


This book includes contributions from scientists and representatives from government and non-governmental organisations working in the field of land management and use and on management of fires. The book is truly interdisciplinary and has both a research and application-oriented dimension. The list of topics includes sustainability and water management; sustainability and biodiversity conservation; the future sustainability of nature-based industries such as agriculture, mining, tourism, fisheries and forestry; sustainability, people and livelihoods; sustainability and landscapes planning; sustainability and land use planning; handling and managing forest fires. The papers are innovative and cross-cutting, and many have practice-based experiences. Also, this book, prepared by the Inter-University Sustainable Development Research Programme (IUSDRP) and the World Sustainable Development Research and Transfer Centre (WSD-RTC), reiterates the need to promote a sustainable use of land resources today.