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Smart Watering System Based on Framework of Low-Bandwidth Distributed Applications (LBDA) in Cloud Computing

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1263))

Abstract

The estimation of soil moisture content is required for agriculture, mainly to build the irrigation scheduling model. In this study, we present a smart watering system to deal with various factors derived from the stochastic information in the agricultural operational, i.e., air temperature, air humidity, soil moisture, soil temperature, and light intensity. The methodology consists of exploiting the Internet of Things (IoT) using Low-Bandwidth Distributed Applications (LBDA) in cloud computing to integrate the real data sets collected by the several sensor technologies. We conducted experiments for the watering system used two types of soil and different plant. Here, the Long Short Term Memory Networks (LSTMs) approach in deep learning techniques used to build smart decisions concerning watering requirements and deal with heterogeneous information coming from agricultural environments. Results show that our models can effectively improve the prediction accuracy for the watering system over various soil and plants.

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Author information

Authors and Affiliations

  1. Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan

    Nurdiansyah Sirimorok

  2. Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

    Mansur As

  3. Department of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

    Kaori Yoshida

  4. Department of Creative Informatics, Kyushu Institute of Technology, Fukuoka, Japan

    Mario Köppen

Authors
  1. Nurdiansyah Sirimorok
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  2. Mansur As
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  3. Kaori Yoshida
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  4. Mario Köppen
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Corresponding author

Correspondence to Nurdiansyah Sirimorok .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

    Kin Fun Li

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Sirimorok, N., As, M., Yoshida, K., Köppen, M. (2021). Smart Watering System Based on Framework of Low-Bandwidth Distributed Applications (LBDA) in Cloud Computing. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_43

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