Smart irrigation system using IoT and machine learning methods-Reference-Cited by-同舟云学术

Smart irrigation system using IoT and machine learning methods

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)
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Author:

Esmail Ahmed A.¹,Ibrahim Manar A.¹,Abdallah Sayed M.¹,Radwan Ahmed E.¹,Elsonbaty Haya k.¹,Elsayed Mohamed A.¹,Elnakeib Noure A.¹,Dawoud Merit Samir²,El-Ghamry Amir³,Fouad Khaled M.⁴,Moawad Ibrahim F.⁵

Affiliation:

1. New Mansoura University,Artificial Intelligence Science Faculty of Computer Science and Engineering,Dakhlia,Egypt

2. Mansoura University. Faculty of Computer Science and Engineering, New Mansoura University,Information Technology Faculty of Computer and Information Sciences,Egypt

3. Mansoura University. Faculty of Computer Science and Engineering, New Mansoura University,Faculty of Computer and Information Sciences,Egypt

4. Benha University,Information Systems Faculty of Computers and Artificial Intelligence,Egypt

5. Ain Shams University Cairo,Information Systems Faculty of Computer and Information Sciences,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296538/10296540/10296736.pdf?arnumber=10296736

Reference31 articles.

1. A Graphical-User-Interface application for multifractal analysis of soil and plant structures

2. Design and Empirical Validation of a LoRaWAN IoT Smart Irrigation System

3. Internet of Things Platform for Smart Farming: Experiences and Lessons Learnt

4. Open source application for optimum irrigation and fertilization using reclaimed water in olive orchards;alcaide;Comput Electron Agric,2020

5. Smart Irrigation with Water Level Indicators Using Logistic Regression

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