Enhancing Reliability in Smart Agriculture: Detecting Failures and Anomalies in Irrigation System-Reference-Cited by-同舟云学术

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Enhancing Reliability in Smart Agriculture: Detecting Failures and Anomalies in Irrigation System

Published:2024-05-27 Issue: Volume: Page:1149-1154
ISSN:
Container-title:2024 International Wireless Communications and Mobile Computing (IWCMC)
language:
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Author:

Dammak Ahmed¹,Mtawa Yaser Al²

Affiliation:

1. The University of Tunis,Dept. of Applied Mathematics,Tunis,Tunisia

2. The University of Winnipeg,Dept. of Applied Computer Science,Winnipeg,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592105/10592309/10592552.pdf?arnumber=10592552

Reference18 articles.

1. Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture

2. Industry 4.0 – A Glimpse

3. Smart Agriculture Applications Using Deep Learning Technologies: A Survey

4. Smart farming using artificial intelligence: A review

5. Using Artificial Intelligence and Machine Learning for Rapidly Identifying Manufacturing Failures

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