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

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

Alex Khang
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, Advanced Technologies and 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
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