Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture

Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture

Indexed In: SCOPUS
Release Date: August, 2023|Copyright: © 2023 |Pages: 473
DOI: 10.4018/978-1-6684-9231-4
ISBN13: 9781668492314|ISBN10: 1668492318|EISBN13: 9781668492338
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Description & Coverage
Description:

The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, the Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture provides an in-depth analysis of the opportunities and challenges for AI-powered management tools and IoT-equipped techniques for the high-tech agricultural ecosystem.

The Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture explores advanced methodologies, models, techniques, technologies, and applications along with the concepts of real-time supporting systems to help agricultural producers adjust plans or schedules for taking care of their farms. Additionally, it discusses the role of IoT technologies and AI applications in agricultural ecosystems and their potential to improve product quality and market competitiveness. The book includes discussions on the application of blockchain, biotechnology, drones, robotics, data analytics, and visualization in high-tech agriculture. It is an essential reference for anyone interested in the future of high-tech agriculture, including agricultural analysts, investment analysts, scholars, researchers, academics, professionals, engineers, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agricultural Drones
  • Agricultural Risk Modelling and Analytics Tools
  • Agricultural Robotics
  • Agricultural Sensors
  • Applications of High-tech Agriculture
  • Artificial Intelligence Applications in Agriculture
  • Artificial Intelligence Supply Chain Systems
  • Biotechnology
  • Blockchain Applications in Agriculture
  • Cybersecurity Techniques for High-tech Agriculture
  • Data Analytics Tools and Applications in Agriculture
  • Disaster Prediction Systems
  • E-Commerce Agriculture
  • Internet of Things Technologies in Agriculture
  • Predictive Analytics in Agriculture
  • RPA Application in Agricultural Management System
Reviews & Statements

In this book on AI and machine learning, I aim to demystify complex concepts, making them accessible to both novices and experts. This comprehensive guide delves into practical applications, highlighting the transformative impact of these technologies across diverse sectors. Emphasizing real-world scenarios, the book bridges the gap between theory and implementation. As AI continues to redefine industries, this work serves as a roadmap, fostering a deeper understanding of its implications. It is my endeavor to contribute valuable insights, empowering readers to navigate the evolving landscape of AI and machine learning with confidence and proficiency.

– Ankita Chaturvedi, Associate Professor at IIS, Jaipur, India
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Editor/Author Biographies
Alex Khang is Professor of Information Technology, VUST, SEFIX, EDXOPS, Universities of Science and Technology in Vietnam, and United States; CTO, AI Specialist and Data Scientist, Global Research Institute of Technology and Engineering, North Carolina, United States. He has 28+ years of working experience, teaching experience, and research experience in Information Technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Technology and Science in USA, EU, India, and Vietnam. He has published 52 authored books (in Computer science year 2000-2010 in Vietnamese), 02 authored books (Software development), 10 book chapters, 04 edited books, and 04 edited books (calling for book chapters) in the field of AI Ecosystem (AI, ML, DL, Robotics, Data Science, Big Data, and IoT), Smart City Ecosystem, Healthcare Ecosystem, Fintech technology, and Blockchain technology (since year 2020).
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