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Machine Learning Model as a Service in Smart Agriculture Systems

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Disruptive Information Technologies for a Smart Society (ICIST 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 872))

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Abstract

Machine learning applications that rely on trained machine learning models are a major area of interest within the field of Smart Agriculture Systems. One of the greatest challenges in this area is to ensure that the machine learning model is up-to-date and easily and effectively deployed to all smart systems that rely on it. However, the rapid changes, or drifts in the data can have a serious effect on the accuracy of the model, leading to unforeseeable consequences in system behavior. Whilst some research has been carried out on ML model updates, this is still an open challenge in modern IoT-based Smart Systems. This paper reviews different ways in which ML models can be served and updated, and proposes a detailed architecture for Edge part of Edge-Cloud-based Smart Agriculture System. To support this architecture, a prototype system that provides a machine learning model as a service in the agricultural domain is developed and tested.

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Author information

Authors and Affiliations

  1. Faculty of Electronic Engineering, University of Niš, Niš, Serbia

    Aleksandra Stojnev Ilić, Dragan Stojanović & Natalija Stojanović

  2. Faculty of Technical Sciences Kosovska Mitrovica, University of Pristina, Kosovska Mitrovica, Serbia

    Miloš Ilić

Authors
  1. Aleksandra Stojnev Ilić
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  2. Dragan Stojanović
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  3. Natalija Stojanović
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  4. Miloš Ilić
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Corresponding author

Correspondence to Aleksandra Stojnev Ilić .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, University of Nis, Nis, Serbia

    Miroslav Trajanovic

  2. Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia

    Nenad Filipovic

  3. Faculty of Mechanical Engineering, University of Nis, Nis, Serbia

    Milan Zdravkovic

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Ilić, A.S., Stojanović, D., Stojanović, N., Ilić, M. (2024). Machine Learning Model as a Service in Smart Agriculture Systems. In: Trajanovic, M., Filipovic, N., Zdravkovic, M. (eds) Disruptive Information Technologies for a Smart Society. ICIST 2023. Lecture Notes in Networks and Systems, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-031-50755-7_14

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