Digitalization Of Plant Nutrition Using Iot Techniques
DOWNLOAD
Download Digitalization Of Plant Nutrition Using Iot Techniques PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Digitalization Of Plant Nutrition Using Iot Techniques book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Digitalization Of Plant Nutrition Using Iot Techniques
DOWNLOAD
Author : Marina T. Stojanova
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-05-01
Digitalization Of Plant Nutrition Using Iot Techniques written by Marina T. Stojanova and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Business & Economics categories.
This monograph represents a unique symbiosis of research and experiences from around the world in the application of IoT-techniques in plant nutrition. In the first chapter, an introduction is given to the traditional way of plant nutrition, but also to the importance of IoT-techniques in plant nutrition. The second chapter discusses the application of different types of IoT-techniques for quickly determining the content of macro and microelements in plants and recommending optimal doses of fertilizers in crop production. Filled with invaluable insights, practical advice, and extensive research, this monograph is a must-read and is intended for readers who observe digitalization through scientific lenses, for those who already implement IoT-techniques in practice, for students who want to be a step ahead in this science, as well as for all readers and producers who want to have sustainable and profitable production. This will improve the quality and quantity of the overall agricultural production.
Sustainability In Digital Transformation Era Driving Innovative Growth
DOWNLOAD
Author : Dr Rajeev Agrawal
language : en
Publisher: CRC Press
Release Date : 2024-08-29
Sustainability In Digital Transformation Era Driving Innovative Growth written by Dr Rajeev Agrawal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.
In the past few weeks, OpenAI has released ChatGPT (Chat Generative Pre-trained Transformer). ChatGPT emerges as a formidable chatbot, surpassing various iterations of the GPT model, and plays a transformative role in user interactions with AI systems. In the dynamic realm of AI technologies, influential applications like ChatGPT, developed by OpenAI, mir□ror the transformative consideration of the simplicity on multiple facets of our daily lives. This potent technology holds the potential for significant positive changes, particularly in healthcare where the introduction of GPT and chatbot models opens promising avenues for disease treatment and technological innovation.
Digitalization Of Plant Nutrition Using Iot Techniques
DOWNLOAD
Author : MARINA T.. DJUKIC STOJANOVA (DRAGUTIN A.. STOJANOVA, MONIKA.)
language : en
Publisher:
Release Date : 2025
Digitalization Of Plant Nutrition Using Iot Techniques written by MARINA T.. DJUKIC STOJANOVA (DRAGUTIN A.. STOJANOVA, MONIKA.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Digital Farming And Smart Agriculture For Sustainable Future
DOWNLOAD
Author : Febin Daya J. L
language : en
Publisher: CRC Press
Release Date : 2025-02-26
Digital Farming And Smart Agriculture For Sustainable Future written by Febin Daya J. L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.
This book presents the impact and scope of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) in the growth of intelligent digital farming and smart agriculture. It offers insights into advanced analytics, prognostics capabilities, and the development of economic models for creating innovative software applications and tools necessary for developing IoT devices for precision agriculture. It explores the latest advancements in these fields and their applications, gaining valuable insights into the future of digital farming. The case studies and exploration of future implications make it an excellent guide for academicians and researchers in this field. Discusses various aspects of AI-driven demand forecasting and management Covers smart IoT framework for precision agriculture Includes topics related to deep learning techniques combined with IoT for smart agriculture Explores the scope of computer vision technologies aid in precise crop management Highlights the potential of energy optimization and environmental sustain- ability in agricultural practices This reference book serves as a valuable resource for researchers and graduates in the fields of tеchnology-driven revolution in agriculture.
Blockchain And Digital Twin Applications In Smart Agriculture
DOWNLOAD
Author : Amit Kumar Tyagi
language : en
Publisher: CRC Press
Release Date : 2025-04-17
Blockchain And Digital Twin Applications In Smart Agriculture written by Amit Kumar Tyagi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
Blockchain and Digital Twin Applications in Smart Agriculture presents scenarios, solutions, applications to optimize crop management, improve resource allocation, and enhance sustainability in modern farming practices. It examines how blockchain and digital twin technology could enable farmers and stakeholders to create virtual, data-driven replicas of their agricultural operations while leveraging the security and transparency of blockchain technology. Highlights of the book include: An immutable blockchain ledger for storing and sharing agricultural data securely Decentralized data management to share data among such stakeholders as farmers, suppliers, distributors, and consumers Supply chain transparency to ensure product authenticity, reduce food fraud, and protect consumers Solutions to improve the allocation of such resources as water, fertilizer, and labor to reduce costs and improve productivity. The book helps researchers and academics develop solutions that can transition the agricultural industry into a more data-driven, sustainable, and transparent future. It explains how creating digital twins of agricultural operations and securing data through blockchain can enhance the ability to make informed decisions, reduce waste, and ensure that agriculture practices are more efficient and environmentally responsible. Featuring practical applications and case studies, the book provides a roadmap to farming that is smart, data-driven, and more.
Industrial Internet Of Things And Cyber Physical Systems Transforming The Conventional To Digital
DOWNLOAD
Author : Kumar, Pardeep
language : en
Publisher: IGI Global
Release Date : 2020-05-22
Industrial Internet Of Things And Cyber Physical Systems Transforming The Conventional To Digital written by Kumar, Pardeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Computers categories.
With the help of artificial intelligence, machine learning, and big data analytics, the internet of things (IoT) is creating partnerships within industry where machines, processes, and humans communicate with one another. As this radically changes traditional industrial operations, this results in the rapid design, cheap manufacture, and effective customization of products. Answering the growing demand of customers and their preferences has become a challenge for such partnerships. Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital is a collection of innovative research that discusses development, implementation, and business impacts of IoT technologies on sustainable societal development and improved life quality. Highlighting a wide range of topics such as green technologies, wireless networks, and IoT policy, this book is ideally designed for technology developers, entrepreneurs, industrialists, programmers, engineers, technicians, researchers, academicians, and students.
Deep Learning Applications In Operations Research
DOWNLOAD
Author : Aryan Chaudhary
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Deep Learning Applications In Operations Research written by Aryan Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance. Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.
Artificial Intelligence And Internet Of Things In Smart Farming
DOWNLOAD
Author : Mohamed Abdel-Basset
language : en
Publisher: CRC Press
Release Date : 2024-04-01
Artificial Intelligence And Internet Of Things In Smart Farming written by Mohamed Abdel-Basset and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Computers categories.
This book provides a broad overview of the areas of artificial intelligence (AI) that can be used for smart farming applications, through either successful engineering or ground-breaking research. Among them, the highlighted tactics are soil management, water management, crop management, livestock management, harvesting, and the integration of Internet of Things (IoT) in smart farming. Artificial Intelligence and Internet of Things in Smart Farming explores different types of smart framing systems for achieving sustainability goals in the real environment. The authors discuss the benefits of smart harvesting systems over traditional harvesting methods, including decreased labor requirements, increased crop yields, increased probabilities of successful harvests, enhanced visibility into crop health, and lower overall harvest and production costs. It explains and describes big data in terms of its potential five dimensions—volume, velocity, variety, veracity, and valuation—within the framework of smart farming. The authors also discuss the recent IoT technologies, such as fifth-generation networks, blockchain, and digital twining, to improve the sustainability and productivity of smart farming systems. The book identifies numerous issues that call for conceptual innovation and has the potential to progress machine learning (ML), resulting in significant impacts. As an illustration, the authors point out how smart farming offers an intriguing field for interpretable ML. The book then delves into the function of AI techniques, such as AI in accelerating the development of nano-enabled agriculture, thereby facilitating safe-by-design nanomaterials for various consumer products and medical applications. This book is for undergraduate students, graduate students, researchers, and AI engineers who pursue a strong understanding of the practical methods of machine learning in the agriculture domain. Practitioners and stakeholders would be able to follow this book to understand the potential of ML in their farming projects and agricultural solutions. Features: • Explores different types of smart framing systems for achieving sustainability goals in the real environment • Explores ML-based analytics such as generative adversarial networks (GAN), autoencoders, computational imaging, and quantum computing • Examines the development of intelligent machines to provide solutions to real-world problems, emphasizing smart farming applications, which are not modeled or are extremely difficult to model mathematically • Emphasizes methods for better managing crops, soils, water, and livestock, urging investors and businesspeople to occupy the existing vacant market area • Discusses AI-empowered Nanotechnology for smart farming
Using Traditional Design Methods To Enhance Ai Driven Decision Making
DOWNLOAD
Author : Nguyen, Tien V. T.
language : en
Publisher: IGI Global
Release Date : 2024-01-10
Using Traditional Design Methods To Enhance Ai Driven Decision Making written by Nguyen, Tien V. T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
The Digital Agricultural Revolution
DOWNLOAD
Author : Roheet Bhatnagar
language : en
Publisher: John Wiley & Sons
Release Date : 2022-06-15
The Digital Agricultural Revolution written by Roheet Bhatnagar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-15 with Computers categories.
THE DIGITAL AGRICULTURAL REVOLUTION The book integrates computational intelligence, applied artificial intelligence, and modern agricultural practices and will appeal to scientists, agriculturists, and those in plant and crop science management. There is a need for synergy between the application of modern scientific innovation in the area of artificial intelligence and agriculture, considering the major challenges from climate change consequences viz. rising temperatures, erratic rainfall patterns, the emergence of new crop pests, drought, flood, etc. This volume reports on high-quality research (theory and practice including prototype & conceptualization of ideas, frameworks, real-world applications, policy, standards, psychological concerns, case studies, and critical surveys) on recent advances toward the realization of the digital agriculture revolution as a result of the convergence of different disruptive technologies. The book touches upon the following topics which have contributed to revolutionizing agricultural practices. Applications of Artificial Intelligence in Agriculture (AI models and architectures, system design, real-world applications of AI, machine learning and deep learning in the agriculture domain, integration & coordination of systems and issues & challenges). IoT and Big Data Analytics Applications in Agriculture (theory & architecture and the use of various types of sensors in optimizing agriculture resources and final product, benefits in real-time for crop acreage estimation, monitoring & control of agricultural produce). Robotics & Automation in Agriculture Systems (Automation challenges, need and recent developments and real case studies). Intelligent and Innovative Smart Agriculture Applications (use of hybrid intelligence in better crop health and management). Privacy, Security, and Trust in Digital Agriculture (government framework & policy papers). Open Problems, Challenges, and Future Trends. Audience Researchers in computer science, artificial intelligence, electronics engineering, agriculture automation, crop management, and science.