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

Grupo de Investigación en Electrónica Control y Automatización (GIECA)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of 7th International Congress on Information and Communication Technology - ICICT 2022
Editores	Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	245-255
Número de páginas	11
ISBN (versión impresa)	9789811916090
DOI	https://doi.org/10.1007/978-981-19-1610-6_21
Estado	Publicada - 2023
Evento	7th International Congress on Information and Communication Technology, ICICT 2022 - Virtual, Online Duración: 21 feb. 2022 → 24 feb. 2022

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	448
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	7th International Congress on Information and Communication Technology, ICICT 2022
Ciudad	Virtual, Online
Período	21/02/22 → 24/02/22

Nota bibliográfica

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

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

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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. En 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.",

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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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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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.

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

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Castro S, Iñacasha J, Mesias G, Oñate W. Prototype Based on a LoRaWAN Network for Storing Multivariable Data, Oriented to Agriculture with Limited Resources. En Yang XS, Sherratt S, Dey N, Joshi A, editores, 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

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