CHF 76.00

Artificial Intelligence and Smart Agriculture Applications

English · Paperback / Softback

Shipping usually within 1 to 3 weeks

Description

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In this book, the recent applications of Artificial Intelligence for smart agriculture have been gathered to provide a valuable source for the literature. Applications vary from use of Machine and Deep Learning to image processing systems. The book aims to provide information on smart methods and intense data processing phases.


About the author










Dr. Utku Kose is Associate Professor in Suleyman Demirel University, Turkey. He has more than 100 publications including articles, authored and edited books, proceedings, and reports.
V.B. Surya Prasath is an assistant professor in the Division of Biomedical Informatics at the Cincinnati Children's Hospital Medical Center, and at the Departments of Biomedical Informatics, Electrical Engineering and Computer Science, University of Cincinnati from 2018.
M. Rubaiyat Hossain Mondal is a faculty member at the Institute of Information and Communication Technology (IICT) in BUET, Bangladesh. He has published a number of papers in journals of IEEE, IET, Elsevier, Springer, Wiley, De Gruyter, PLOS, and MDPI.
Prajoy Podder is currently a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology. He worked as a lecturer in the department of Electrical and Electronic Engineering, Ranada Prasad Shaha University, Narayanganj, Bangladesh.
Subrato Bharati is a researcher in the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. He is a regular reviewer of a number of international journal including Elsevier, Springer, and Wiley.


Summary

In this book, the recent applications of Artificial Intelligence for smart agriculture have been gathered to provide a valuable source for the literature. Applications vary from use of Machine and Deep Learning to image processing systems. The book aims to provide information on smart methods and intense data processing phases.

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