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Pig Farm Environment Sensor Data Correlation and Heatmap Analysis for Predicting Sensor Remaining Useful Life✱

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Jin Sul KimAuthors Info & Claims

SMA 2020: The 9th International Conference on Smart Media and Applications

Pages 373 - 375

https://doi.org/10.1145/3426020.3426136

Published: 04 November 2021 Publication History

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Abstract

Various smart farm technologies are currently being developed around the world to enhance agricultural competitiveness. Korea is also speeding up the development of Korean smart farm technology suitable for domestic environment, but it is difficult to develop high-reliability sensors and systems, and has problems such as preventing sensors from failing, so in this paper, environmental data values such as temperature, humidity, carbon dioxide, ammonia, etc. are sensed, refined, and pretreated to derive correlation and heat maps between sensors. This will not only predict the RUL (Remaining Useful Life) of the sensor using machine learning in the future, but also develop a reliable system by detecting failures and errors.

References

[1]

Olakunle Elijah, Tharek Abdul Rahman, Igbafe Orikumhi, Chee Yen Leow, and MHD Nour Hindia. 2018. An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal 5, 5 (2018), 3758–3773.

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[2]

GJ Kim and JD Huh. 2015. Trends and prospects of smart farm technology. Electronics and Telecommunications trends 30, 5 (2015), 1–10.

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Muhammad Hunain Memon, Wanod Kumar, AzamRafique Memon, Bhawani S Chowdhry, Muhammad Aamir, and Pardeep Kumar. 2016. Internet of Things (IoT) enabled smart animal farm. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom). IEEE, 2067–2072.

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SMA 2020: The 9th International Conference on Smart Media and Applications

September 2020

491 pages

ISBN:9781450389259

DOI:10.1145/3426020

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 04 November 2021

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SMA 2020: The 9th International Conference on Smart Media and Applications

September 17 - 19, 2020

Jeju, Republic of Korea

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Abstract

References

Recommendations

Covering of problem in wireless sensor networks

Energy Efficient Data Dissemination with ATIM Window and Dynamic Sink in Wireless Sensor Networks

Reliability of Cluster-Based Nodes in Wireless Sensor Networks of Cyber Physical Systems

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