research-article

Estimating outdoor temperature from CPU temperature for IoT applications in agriculture

Authors:

Chandra Krintz,

Nevena Golubovic,

Fatih BakirAuthors Info & Claims

IOT '18: Proceedings of the 8th International Conference on the Internet of Things

Article No.: 11, Pages 1 - 8

https://doi.org/10.1145/3277593.3277607

Published: 15 October 2018 Publication History

Abstract

In the paper, we investigate using CPU temperature from small, low cost, single-board computers to predict out-door temperature in IoT-based precision agricultural settings. Temperature is a key metric in these settings that is used to inform and actuate farm operations such as irrigation scheduling, frost damage mitigation, and greenhouse management. Using cheap single-board computers as temperature sensors can drive down the cost of sensing in these applications and make it possible to monitor a large number of micro-climates concurrently. We have developed a system in which devices communicate their CPU measurements to an on-farm edge cloud. The edge cloud uses a combination of calibration, smoothing (noise removal), and linear regression to make predictions of the outdoor temperature at each device. We evaluate the accuracy of this approach for different temperature sensors, devices, and locations, as well as different training and calibration durations.

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Cited By

Song ZLi ZTilevich E(2024)A meta-pattern for building QoS-optimal mobile services out of equivalent microservicesService Oriented Computing and Applications10.1007/s11761-024-00391-118:2(109-120)Online publication date: 20-Mar-2024
https://doi.org/10.1007/s11761-024-00391-1
Singh GSharma S(2024)A comprehensive review on the Internet of Things in precision agricultureMultimedia Tools and Applications10.1007/s11042-024-19656-0Online publication date: 9-Jul-2024
https://doi.org/10.1007/s11042-024-19656-0
Yu CXia GSong LPeng WChen JZhang DLi H(2023)CET-AoTM: Cloud-Edge-Terminal Collaborative Trust Evaluation Scheme for AIoT NetworksService-Oriented Computing10.1007/978-3-031-48424-7_11(143-158)Online publication date: 20-Nov-2023
https://doi.org/10.1007/978-3-031-48424-7_11
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Published In

cover image ACM Other conferences

IOT '18: Proceedings of the 8th International Conference on the Internet of Things

October 2018

299 pages

ISBN:9781450365642

DOI:10.1145/3277593

Conference Chairs:
Krzysztof Janowicz
University of California, Santa Barbara
,
Werner Kuhn
University of California, Santa Barbara
,
Program Chairs:
Federica Cena
University of Torino, Italy
,
Armin Haller
Australian National University, Australia
,
Kyriakos G. Vamvoudakis
Georgia Institute of Technology, Georgia Tech

Copyright © 2018 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2018

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IOT '18

IOT '18: 8th International Conference on the Internet of Things

October 15 - 18, 2018

California, Santa Barbara, USA

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Overall Acceptance Rate 28 of 84 submissions, 33%

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Cited By

Song ZLi ZTilevich E(2024)A meta-pattern for building QoS-optimal mobile services out of equivalent microservicesService Oriented Computing and Applications10.1007/s11761-024-00391-118:2(109-120)Online publication date: 20-Mar-2024
https://doi.org/10.1007/s11761-024-00391-1
Singh GSharma S(2024)A comprehensive review on the Internet of Things in precision agricultureMultimedia Tools and Applications10.1007/s11042-024-19656-0Online publication date: 9-Jul-2024
https://doi.org/10.1007/s11042-024-19656-0
Yu CXia GSong LPeng WChen JZhang DLi H(2023)CET-AoTM: Cloud-Edge-Terminal Collaborative Trust Evaluation Scheme for AIoT NetworksService-Oriented Computing10.1007/978-3-031-48424-7_11(143-158)Online publication date: 20-Nov-2023
https://doi.org/10.1007/978-3-031-48424-7_11
Xiao SYang MFeng XLiu XDu J(2022)Design of Internet of Things Microprocessor Based on MIPS Instruction Set2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )10.1109/IAEAC54830.2022.9929565(1694-1696)Online publication date: 3-Oct-2022
https://doi.org/10.1109/IAEAC54830.2022.9929565
Lestari NBekhit MMohamed MFathalla ASalah A(2022)Machine Learning and Deep Learning for Predicting Indoor and Outdoor IoT Temperature Monitoring SystemsIoT as a Service10.1007/978-3-030-95987-6_13(185-197)Online publication date: 8-Jul-2022
https://doi.org/10.1007/978-3-030-95987-6_13
Ha VNahapetian A(2022)Received WiFi Signal Strength Monitoring for Contactless Body Temperature ClassificationBody Area Networks. Smart IoT and Big Data for Intelligent Health Management10.1007/978-3-030-95593-9_10(112-125)Online publication date: 11-Feb-2022
https://doi.org/10.1007/978-3-030-95593-9_10
Akhtar MShaikh AKhan AAwais HBakar EOthman A(2021)Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A ReviewAgriculture10.3390/agriculture1106047511:6(475)Online publication date: 21-May-2021
https://doi.org/10.3390/agriculture11060475
Chang ZLiu SXiong XCai ZTu G(2021)A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of ThingsIEEE Internet of Things Journal10.1109/JIOT.2021.30888758:18(13849-13875)Online publication date: 15-Sep-2021
https://doi.org/10.1109/JIOT.2021.3088875
Thi MHoang Son LQuoc Vinh NThi Huong Quynh N(2021)Computing Infrastructure Of IoT Applications In Smart Agriculture: A Systematical Review2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA)10.1109/CITISIA53721.2021.9719974(1-9)Online publication date: 24-Nov-2021
https://doi.org/10.1109/CITISIA53721.2021.9719974
García LParra LJimenez JLloret JLorenz P(2020)IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision AgricultureSensors10.3390/s2004104220:4(1042)Online publication date: 14-Feb-2020
https://doi.org/10.3390/s20041042
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