Artificial Intelligence and Smart Agriculture Technology (eBook, PDF)

Redaktion: Kose, Utku; Bharati, Subrato; Podder, Prajoy; Mondal, M.; Prasath, V. B.

• Format: PDF

Produktbeschreibung

This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing functional and non-functional technologies. It identifies and discusses smart agriculture capabilities and conceptual prototypes, as well as demonstrates critical technological solutions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 318
• Erscheinungstermin: 27. Juni 2022
• Englisch
• ISBN-13: 9781000604344
• Artikelnr.: 63971322

Autorenporträt

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.

Inhaltsangabe

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