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Einband grossArtificial Intelligence and Smart Agriculture Technology
ISBN/GTIN

Artificial Intelligence and Smart Agriculture Technology

E-BookPDF0 - No protectionE-Book
318 Seiten
Englisch
Taylor & Franciserschienen am27.06.20221. Auflage
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.mehr
Verfügbare Formate
BuchGebunden
EUR163,50
TaschenbuchKartoniert, Paperback
EUR59,50
E-BookPDF0 - No protectionE-Book
EUR63,49
E-BookEPUB0 - No protectionE-Book
EUR63,49

Produkt

KlappentextThis 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.
Details
Weitere ISBN/GTIN9781000604344
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis0 - No protection
Erscheinungsjahr2022
Erscheinungsdatum27.06.2022
Auflage1. Auflage
Seiten318 Seiten
SpracheEnglisch
Dateigrösse33995 Kbytes
Illustrationen45 schwarz-weiße Abbildungen, 45 schwarz-weiße Zeichnungen, 26 schwarz-weiße Tabellen
Artikel-Nr.8714602
Rubriken
Genre9200

Inhalt/Kritik

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 Indiamehr

Autor

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.
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