Internet of Things (IoT)-Enabled Machine Learning Models for Efficient Monitoring of Smart Agriculture-Reference-Cited by-同舟云学术

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Internet of Things (IoT)-Enabled Machine Learning Models for Efficient Monitoring of Smart Agriculture

Published:2024 Issue: Volume:12 Page:75718-75734
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aldossary Mohammad¹^ORCID,Alharbi Hatem A.²^ORCID,Anwar Ul Hassan Ch³

Affiliation:

1. Department of Computer Engineering and Information, College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Al-Dawasir, Saudi Arabia

2. Department of Computer Science, College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia

3. Department of Creative Technologies, Air University, Islamabad, Pakistan

Funder

Prince Sattam bin Abdulaziz University project number

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10537161.pdf?arnumber=10537161

Reference35 articles.

1. Machine learning in agriculture: a review of crop management applications

2. A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0

3. Recent advancements and challenges of Internet of Things in smart agriculture: A survey

4. Precision Agriculture using IoT Data Analytics and Machine Learning

5. Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies

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