Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources

Steven Castro; Jhonattan Iñacasha; Gustavo Mesias; William Oñate

doi:10.1007/978-981-19-1610-6_21

Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources

Steven Castro
, Jhonattan Iñacasha
, Gustavo Mesias
, William Oñate

Research Group in Electronics Control and Automation (GIECA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Due to the advancement in information digitization in the agricultural area that has resulted in processes which are more intelligent and independent of precision agriculture, having as objective the verification, quantification, calculation, processing, and storage of variables immersed in the agricultural area, the present work shows a LoRa sensors network system, with visualization in a cloud environment through The Things Network and data analysis in an IoT platform called ThingSpeak. The objective of the use of sensors in precision agriculture (PA) is to measure the different environmental parameters (e.g., temperature, humidity, soil pH value), which are sent through a LoRaWAN gateway that receives the variables sensed by the final nodes and in turn incorporates a specialized node based on artificial vision to obtain the vegetation index. In addition, a comparison with a commercial datalogger is carried out, achieving an average error of 3.67% in the measured variables and a cost 17 times smaller in the design of the proposed system.

Original language	English
Title of host publication	Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022
Editors	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	245-255
Number of pages	11
ISBN (Print)	9789811916090
DOIs	https://doi.org/10.1007/978-981-19-1610-6_21
State	Published - 2023
Event	7th International Congress on Information and Communication Technology, ICICT 2022 - Virtual, Online Duration: 21 Feb 2022 → 24 Feb 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	448

Conference

Conference	7th International Congress on Information and Communication Technology, ICICT 2022
City	Virtual, Online
Period	21/02/22 → 24/02/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Datalogger
LoRaWAN
ThingSpeak
TTN

CACES Knowledge Areas

417A Electronics, Automation and Sound

Access to Document

10.1007/978-981-19-1610-6_21

Cite this

Castro, S., Iñacasha, J., Mesias, G., & Oñate, W. (2023). Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources. In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022 (pp. 245-255). (Lecture Notes in Networks and Systems; Vol. 448). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1610-6_21

Castro, Steven ; Iñacasha, Jhonattan ; Mesias, Gustavo et al. / Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources. Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. editor / Xin-She Yang ; Simon Sherratt ; Nilanjan Dey ; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 245-255 (Lecture Notes in Networks and Systems).

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title = "Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources",

abstract = "Due to the advancement in information digitization in the agricultural area that has resulted in processes which are more intelligent and independent of precision agriculture, having as objective the verification, quantification, calculation, processing, and storage of variables immersed in the agricultural area, the present work shows a LoRa sensors network system, with visualization in a cloud environment through The Things Network and data analysis in an IoT platform called ThingSpeak. The objective of the use of sensors in precision agriculture (PA) is to measure the different environmental parameters (e.g., temperature, humidity, soil pH value), which are sent through a LoRaWAN gateway that receives the variables sensed by the final nodes and in turn incorporates a specialized node based on artificial vision to obtain the vegetation index. In addition, a comparison with a commercial datalogger is carried out, achieving an average error of 3.67\% in the measured variables and a cost 17 times smaller in the design of the proposed system.",

keywords = "Datalogger, LoRaWAN, ThingSpeak, TTN",

author = "Steven Castro and Jhonattan I{\~n}acasha and Gustavo Mesias and William O{\~n}ate",

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Castro, S, Iñacasha, J, Mesias, G & Oñate, W 2023, Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources. in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. Lecture Notes in Networks and Systems, vol. 448, Springer Science and Business Media Deutschland GmbH, pp. 245-255, 7th International Congress on Information and Communication Technology, ICICT 2022, Virtual, Online, 21/02/22. https://doi.org/10.1007/978-981-19-1610-6_21

Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources. / Castro, Steven; Iñacasha, Jhonattan; Mesias, Gustavo et al.
Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. ed. / Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi. Springer Science and Business Media Deutschland GmbH, 2023. p. 245-255 (Lecture Notes in Networks and Systems; Vol. 448).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources

AU - Castro, Steven

AU - Iñacasha, Jhonattan

AU - Mesias, Gustavo

AU - Oñate, William

PY - 2023

Y1 - 2023

N2 - Due to the advancement in information digitization in the agricultural area that has resulted in processes which are more intelligent and independent of precision agriculture, having as objective the verification, quantification, calculation, processing, and storage of variables immersed in the agricultural area, the present work shows a LoRa sensors network system, with visualization in a cloud environment through The Things Network and data analysis in an IoT platform called ThingSpeak. The objective of the use of sensors in precision agriculture (PA) is to measure the different environmental parameters (e.g., temperature, humidity, soil pH value), which are sent through a LoRaWAN gateway that receives the variables sensed by the final nodes and in turn incorporates a specialized node based on artificial vision to obtain the vegetation index. In addition, a comparison with a commercial datalogger is carried out, achieving an average error of 3.67% in the measured variables and a cost 17 times smaller in the design of the proposed system.

AB - Due to the advancement in information digitization in the agricultural area that has resulted in processes which are more intelligent and independent of precision agriculture, having as objective the verification, quantification, calculation, processing, and storage of variables immersed in the agricultural area, the present work shows a LoRa sensors network system, with visualization in a cloud environment through The Things Network and data analysis in an IoT platform called ThingSpeak. The objective of the use of sensors in precision agriculture (PA) is to measure the different environmental parameters (e.g., temperature, humidity, soil pH value), which are sent through a LoRaWAN gateway that receives the variables sensed by the final nodes and in turn incorporates a specialized node based on artificial vision to obtain the vegetation index. In addition, a comparison with a commercial datalogger is carried out, achieving an average error of 3.67% in the measured variables and a cost 17 times smaller in the design of the proposed system.

KW - Datalogger

KW - LoRaWAN

KW - ThingSpeak

KW - TTN

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M3 - Conference contribution

AN - SCOPUS:85135907517

SN - 9789811916090

T3 - Lecture Notes in Networks and Systems

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BT - Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022

A2 - Yang, Xin-She

A2 - Sherratt, Simon

A2 - Dey, Nilanjan

A2 - Joshi, Amit

PB - Springer Science and Business Media Deutschland GmbH

T2 - 7th International Congress on Information and Communication Technology, ICICT 2022

Y2 - 21 February 2022 through 24 February 2022

ER -

Castro S, Iñacasha J, Mesias G, Oñate W. Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources. In Yang XS, Sherratt S, Dey N, Joshi A, editors, Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 245-255. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-19-1610-6_21

Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

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Cite this