Data-centric UML Profile for Agroecology Applications: Agricultural Autonomous Robots Monitoring Case Study

Sandro Bimonte1, Hassan Badir6, Pietro Battistoni2, Houssam Bazza6, Amina Belhassena1, Christophe Cariou1, Gerard Chalhoub3, Juan Carlos Corrales4, Adrian Couvent1, Jean Laneurit1, Rim Moussa5, Julian Eduardo Plazas4, Monica Sebillo2 and Nicolas Tricot1

  1. Université Clermont Auvergne, TSCF, INRAE, France
    {name.surname@inrae.fr
  2. University Salerno, Italy
    {pbattistoni,msebillo}@unisa.it
  3. Université Clermont Auvergne, LIMOS-CNRS, France
    gerard.chalhoub@uca.fr
  4. Universidad del Cauca, Colombia
    {jcorral, jeplazas}@unicauca.edu.co
  5. University of Carthage, Tunisia
    rim.moussa@enicarthage.rnu.tn
  6. IDS Team, Abdelmalek Essaadi University, Morocco
    {houssam.bazza@etu.uae.ac.ma, badir.hassan@uae.ac.ma}

Abstract

The conceptual design of information systems is mandatory in several application domains. The advent of the Internet of Things (IoT) technologies pushes conceptual design tools and methodologies to consider the complexity of IoT data, architectures, and communication networks. In agroecology applications, the usage of IoT is quite promising, but it raises several methodological and technical issues. These issues are related to the complexity and heterogeneity of data (social, economic, environmental, and agricultural) needed by agroecology practices. Motivated by the lack of a conceptual model for IoT data, in this work, we present a UML profile taking into account different kinds of data (e.g., sensors, stream, or transactional) and non-functional Requirements. We show how the UML profile integrates with classical UML diagrams to support the design of complex systems. Moreover, We prove the feasibility of our conceptual framework through a theoretical quality assessment and its implementation in the agroecology case study concerning the monitoring of autonomous agricultural robots.

Key words

Data Analytics, Internet of Things, Conceptual Modeling, UML Profile

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS220301064B

Publication information

Volume 20, Issue 1 (January 2023)
Year of Publication: 2023
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Bimonte, S., Badir, H., Battistoni, P., Bazza, H., Belhassena, A., Cariou, C., Chalhoub, G., Corrales, J. C., Couvent, A., Laneurit, J., Moussa, R., Plazas, J. E., Sebillo, M., Tricot, N.: Data-centric UML Profile for Agroecology Applications: Agricultural Autonomous Robots Monitoring Case Study. Computer Science and Information Systems, Vol. 20, No. 1, 459–489. (2023), https://doi.org/10.2298/CSIS220301064B