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Krishnan Saravanan Anand Jose Prasanth (14 results)
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Condition: New.
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Condition: New.
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Predictive Analytics in Smart Agriculture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Predictive Analytics in Smart Agriculture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Predictive Analytics in Smart Agriculture
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032479507 ISBN 13: 9781032479507
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 804.
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Predictive Analytics in Smart Agriculture
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Hardcover. Condition: Brand New. 344 pages. 9.19x6.13x0.75 inches. In Stock.
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Predictive Analytics in Smart Agriculture
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. PRINT ON DEMAND.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. K. Saravanan is an Associate professor, Department of Computer Science & Engineering at College of Engineering, Guindy, Anna University, Chennai, Tamilnadu, India. He has published papers in 14 international conferences and 27 international journ.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. This book provides practical and use case oriented approaches for IOT-based agricultural systems.
