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Modeling of Sensor Enabled Irrigation Management for Intelligent Agriculture Using Hybrid Deep Belief Network

Saud Yonbawi1, Sultan Alahmari2, B. R. S. S. Raju3, Chukka Hari Govinda Rao4, Mohamad Khairi Ishak5, Hend Khalid Alkahtani6, José Varela-Aldás7,*, Samih M. Mostafa8

1 Department of Software Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
2 King Abdul Aziz City for Science and Technology, Riyadh, Kingdom of Saudi Arabia
3 Aditya Engineering College Affiliated to JNTUK (Kakinada), Surampalem, India
4 Department of MBA, Vignan’s Institute of Information and Technology (A), Duvvada, Visakhapatnam, AP, 530049, India
5 School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia (USM), Nibong Tebal, Penang, 14300, Malaysia
6 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11564, Saudi Arabia
7 SISAu Research Group, Universidad Tecnológica Indoamérica, Ambato, 180103, Ecuador
8 Faculty of Computers and Information, South Valley University, Qena, 83523, Egypt

* Corresponding Author: José Varela-Aldás. Email: email

TSP_CSSE_36721.pdf

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