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Ubiquitous Computing in Precision Agriculture: A Systematic Review

Author

Listed:
  • Gilson Augusto Helfer
  • Jorge Luís Victoria Barbosa
  • Bruno Guilherme Martini
  • Ronaldo Bastos dos Santos
  • Adilson Ben da Costa

Abstract

The applications of ubiquitous computing have increased in recent years, especially due to the development of technologies such as mobile computing and its integration with the real world. One of the challenges in this area is the use of context sensitivity. In agriculture, this can be considered as the context related to the environment, such as the chemical and physical aspects that characterize the different soil types. This scenario periodically changes due to factors such as climate, type of cultivar and soil management technique used, among other aspects. This article presents a systematic review on the research works that explore ubiquitous computing in precision agriculture, including which technologies are being currently applied and which gap scan still be researched. Nine scientific repositories were explored to find articles about precision agriculture and ubiquitous computing. As a result of this search and filtering process, 32 works were reviewed, analyzed and categorized between the years of 2009 and 2019. In general, the reviewed articles concentrate on problems arising from the communication between sensors and the management of context-sensitive data.

Suggested Citation

  • Gilson Augusto Helfer & Jorge Luís Victoria Barbosa & Bruno Guilherme Martini & Ronaldo Bastos dos Santos & Adilson Ben da Costa, 2019. "Ubiquitous Computing in Precision Agriculture: A Systematic Review," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 11(4), December.
    • Handle: RePEc:ags:aolpei:303920
    DOI: 10.22004/ag.econ.303920
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    References listed on IDEAS

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    1. Watanee Jearanaiwongkul & Frederic Andres & Chutiporn Anutariya, 2019. "A Formal Model for Managing Multiple Observation Data in Agriculture," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(3), pages 79-100, July.
    2. Bonfante, A. & Sellami, M.H. & Abi Saab, M.T. & Albrizio, R. & Basile, A. & Fahed, S. & Giorio, P. & Langella, G. & Monaco, E. & Bouma, J., 2017. "The role of soils in the analysis of potential agricultural production: A case study in Lebanon," Agricultural Systems, Elsevier, vol. 156(C), pages 67-75.
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    Cited by:

    1. Martini, Bruno Guilherme & Helfer, Gilson Augusto & Barbosa, Jorge Luis Victória & Modolo, Regina Célia Espinosa & da Silva, Marcio Rosa & de Figueiredo, Rodrigo Marques, 2020. "Prediction and Context Awareness in Agriculture: A Systematic Mapping," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(3), September.

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