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LoRaWAN Module for the Measurement of Environmental Parameters and Control of Irrigation Systems for Agricultural and Livestock Facilities

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Progress in Artificial Intelligence (EPIA 2022)

Abstract

Recent advances in wireless communication technologies have led to the rapid development of branches of engineering, such as those related to the Internet of Things (IoT) paradigm. IoT interconnects devices with the intention of adding value or reducing costs in production processes. In turn, many productive sectors are benefiting from the advances being made in this field, including the agricultural sector. The IoT for Low-power wide-area network (LPWA) is a perfect fit for sectors whose environments are remote (and therefore have limited access to the power grid) and whose facilities may be located at long distances from each other. This research therefore proposes, the design of a LoRaWAN communications module as part of a modular architecture, compatible with environmental parameter measuring devices and irrigation system controllers. The purpose of this module is to improve the management of agricultural facilities and, therefore, boost the competitiveness of companies in this sector.

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Acknowledgments

This research has been supported by the project “Intelligent and sustainable mobility supported by multi-agent systems and edge computing (InEDGEMobility): Towards Sustainable Intelligent Mobility: Blockchain-based framework for IoT Security”, Reference: RTI2018-095390-B-C32, financed by the Ministry of Science and Innovation (MICINN), the State Research Agency (AEI) and the European Regional Development Fund (FEDER).

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Correspondence to Sergio Márquez-Sánchez .

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Márquez-Sánchez, S., Herrera-Santos, J., Alonso-Rollán, S., Muñoz, A.M.P., Rodríguez, S. (2022). LoRaWAN Module for the Measurement of Environmental Parameters and Control of Irrigation Systems for Agricultural and Livestock Facilities. In: Marreiros, G., Martins, B., Paiva, A., Ribeiro, B., Sardinha, A. (eds) Progress in Artificial Intelligence. EPIA 2022. Lecture Notes in Computer Science(), vol 13566. Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_29

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  • DOI: https://doi.org/10.1007/978-3-031-16474-3_29

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