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Temperature Monitoring of Agricultural Areas in a Secure Data Room

Research output: Contribution to Journal/MagazineBook/Film/Article reviewpeer-review

Published

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Temperature Monitoring of Agricultural Areas in a Secure Data Room. / Ederer, Thomas; Ivancsits, Martin; Ivkic, Igor.
In: ERCIM News, Vol. Special Theme: Climate-Resilient Society, No. 135, 31.10.2023, p. 32-34.

Research output: Contribution to Journal/MagazineBook/Film/Article reviewpeer-review

Harvard

Ederer, T, Ivancsits, M & Ivkic, I 2023, 'Temperature Monitoring of Agricultural Areas in a Secure Data Room', ERCIM News, vol. Special Theme: Climate-Resilient Society, no. 135, pp. 32-34. <https://ercim-news.ercim.eu/images/stories/EN135/EN135-web.pdf>

APA

Ederer, T., Ivancsits, M., & Ivkic, I. (2023). Temperature Monitoring of Agricultural Areas in a Secure Data Room. ERCIM News, Special Theme: Climate-Resilient Society(135), 32-34. https://ercim-news.ercim.eu/images/stories/EN135/EN135-web.pdf

Vancouver

Ederer T, Ivancsits M, Ivkic I. Temperature Monitoring of Agricultural Areas in a Secure Data Room. ERCIM News. 2023 Oct 31;Special Theme: Climate-Resilient Society(135):32-34.

Author

Ederer, Thomas ; Ivancsits, Martin ; Ivkic, Igor. / Temperature Monitoring of Agricultural Areas in a Secure Data Room. In: ERCIM News. 2023 ; Vol. Special Theme: Climate-Resilient Society, No. 135. pp. 32-34.

Bibtex

@article{5e3a77d76381423eb2903000b615e4fa,
title = "Temperature Monitoring of Agricultural Areas in a Secure Data Room",
abstract = "Agricultural production is highly dependent on naturally occurring environmental conditions like change of seasons and the weather. Especially in fruit and wine growing, late frosts occurring shortly after the crops have sprouted have the potential to cause massive damage to plants [L1,L2] [1]. In this article we present a cost-efficient temperature monitoring system for detecting and reacting to late frosts to prevent crop failures. The proposed solution includes a data space where Internet of Things (IoT) devices can form a cyber-physical system (CPS) to interact with their nearby environment and securely exchange data. Based on this data, more accurate predictions can be made in the future using machine learning (ML), which will further contribute to minimising economic damage caused by crop failures.",
author = "Thomas Ederer and Martin Ivancsits and Igor Ivkic",
year = "2023",
month = oct,
day = "31",
language = "English",
volume = "Special Theme: Climate-Resilient Society",
pages = "32--34",
journal = "ERCIM News",
number = "135",

}

RIS

TY - JOUR

T1 - Temperature Monitoring of Agricultural Areas in a Secure Data Room

AU - Ederer, Thomas

AU - Ivancsits, Martin

AU - Ivkic, Igor

PY - 2023/10/31

Y1 - 2023/10/31

N2 - Agricultural production is highly dependent on naturally occurring environmental conditions like change of seasons and the weather. Especially in fruit and wine growing, late frosts occurring shortly after the crops have sprouted have the potential to cause massive damage to plants [L1,L2] [1]. In this article we present a cost-efficient temperature monitoring system for detecting and reacting to late frosts to prevent crop failures. The proposed solution includes a data space where Internet of Things (IoT) devices can form a cyber-physical system (CPS) to interact with their nearby environment and securely exchange data. Based on this data, more accurate predictions can be made in the future using machine learning (ML), which will further contribute to minimising economic damage caused by crop failures.

AB - Agricultural production is highly dependent on naturally occurring environmental conditions like change of seasons and the weather. Especially in fruit and wine growing, late frosts occurring shortly after the crops have sprouted have the potential to cause massive damage to plants [L1,L2] [1]. In this article we present a cost-efficient temperature monitoring system for detecting and reacting to late frosts to prevent crop failures. The proposed solution includes a data space where Internet of Things (IoT) devices can form a cyber-physical system (CPS) to interact with their nearby environment and securely exchange data. Based on this data, more accurate predictions can be made in the future using machine learning (ML), which will further contribute to minimising economic damage caused by crop failures.

M3 - Book/Film/Article review

VL - Special Theme: Climate-Resilient Society

SP - 32

EP - 34

JO - ERCIM News

JF - ERCIM News

IS - 135

ER -