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A Framework for Artificial Intelligence Assisted Smart Agriculture Utilizing LoRaWAN Wireless Sensor Networks

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Soft Computing Applications (SOFA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1222))

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Abstract

Smart agriculture is gaining popularity because of its effectiveness in improving agriculture and conserving its scare resources. This paper demonstrates a work in progress framework which utilizes a Wireless Sensor Network (WSN) equipped with several agricultural sensors and connected internally via the ZigBee wireless protocol, while it is linked to the backhaul network via a Long Range Wide Area Network (LoRaWAN). At the backhaul network, sensor nodes are first authenticated before accessing the network resources, then sensors’ data is stored, processed, analyzed and agricultural related decisions are made by an agricultural expert system, which utilizes up-to-date Fuzzy Logic and Artificial Intelligent algorithms.

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Acknowledgement

This work is supported in part by the German Jordanian University seed fund ID SEEIT 02/2018 and by the North Atlantic Treaty Organization (NATO) SPS Project No. SPS G4936.

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Authors and Affiliations

  1. German Jordanian University, Amman, Jordan

    Ala’ Khalifeh, Abdullah AlQammaz, Bashar Abu Sha’ar & Omar Ghatasheh

  2. The University of Jordan, Amman, Jordan

    Khalid A. Darabkh

Authors
  1. Ala’ Khalifeh
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  2. Abdullah AlQammaz
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  3. Khalid A. Darabkh
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  4. Bashar Abu Sha’ar
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  5. Omar Ghatasheh
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Corresponding author

Correspondence to Ala’ Khalifeh .

Editor information

Editors and Affiliations

  1. "Aurel Vlaicu" University of Arad, Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Engineering and Information Technology, University of Technology Sydney, Centre for Artificial Intelligence, Sydney, Australia

    Lakhmi C. Jain

  3. Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Arad, Romania

    Marius Mircea Balas

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

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Khalifeh, A., AlQammaz, A., Darabkh, K.A., Sha’ar, B.A., Ghatasheh, O. (2021). A Framework for Artificial Intelligence Assisted Smart Agriculture Utilizing LoRaWAN Wireless Sensor Networks. In: Balas, V., Jain, L., Balas, M., Shahbazova, S. (eds) Soft Computing Applications. SOFA 2018. Advances in Intelligent Systems and Computing, vol 1222. Springer, Cham. https://doi.org/10.1007/978-3-030-52190-5_29

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