Artificial Intelligence and Smart Agriculture Technology

1. Auflage 2024
ISBN: 978-1-032-28906-9
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 318 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 449 g

This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications.

The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter.

This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.

Zielgruppe

Academic

Autoren/Hrsg.

Kose, Utku

Prasath, V B

Mondal, M.

Podder, Prajoy

Bharati, Subrato

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Naturwissenschaften Biowissenschaften Botanik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

1. Smart Farming Using Artificial Intelligence, Internet of Things and Robotics: A Comprehensive Review 2. Towards theTechnological Adaptation of Advanced Farming Through Artificial Intelligence, the Internet of Things, and Robotics: A Comprehensive Overview 3. Artificial Intelligence and Blockchain in Smart Agriculture: Emergence, Opportunities, and Challenges 4. Artificial Intelligence and
Internet of Things Enabled Smart Farming for Sustainable Development: The Future of Agriculture 5. A Science, Technology, and Soocietay Approach to Studying the Cumin Revolution in Western India 6. The Role of Big Data in Agriculture 7. Blockchain-Based Agri Manufacture Industry 8. Agricultural Data Mining and Information Extraction 9. Machine Learning and Its Application in Food Processing and Preservation 10. Study of Disruptive Technologies for Sustainable Agriculture 11. Role of Dimensionality Reduction Techniques for Plant Disease Prediction 12. A Review of Deep Learning Approaches for Plant Disease Detection and Classification 13. Cyber Threats in Farming Automation 14. Prospects of Smart Farming as a Key to Sustainable Agricultural Development: A Case Study of India

Über Autor(innen)

Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey. He has more than 100 publications including articles, books, proceedings, and reports.

Surya Prasath, PhD, is a mathematician with expertise in the application areas of image processing and computer vision. He received his PhD in mathematics from the Indian Institute of Technology Madras, India.

M. Rubaiyat Hossain Mondal, PhD is currently working as a Professor in the Institute of Information and Communication Technology (IICT) at Bangladesh University of Engineering and Technology (BUET).

Prajoy Podder is currently a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology.

Subrato Bharati is currently a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology.