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Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context.

Francisco Javier Ferrández-Pastor1, Juan Manuel García-Chamizo2, Mario Nieto-Hidalgo3

  • 1Department of Computer Technology, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain. fjferran@dtic.ua.es.

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Summary

This study introduces a user-centered design for integrating Internet of Things (IoT) into agriculture, enabling farmers to create smart farming systems. The approach facilitates technology adoption and enhances decision-making for improved crop management.

Keywords:
Internet of Thingsfog and edge computingprecision agriculture

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Area of Science:

  • Agricultural Technology
  • Computer Science

Background:

  • The Internet of Things (IoT) offers new possibilities for agriculture, including remote monitoring and predictive analytics.
  • Farmers often lack the expertise to implement IoT solutions, hindering technology adoption.

Purpose of the Study:

  • To analyze agricultural facilities and design user-centered IoT functionalities with farmers.
  • To facilitate the integration and use of IoT in agricultural applications.

Main Methods:

  • A user-centered design model was employed, involving farmers and growers in analyzing facilities.
  • IoT paradigms, edge computing, and fog computing were utilized for system architecture and smart processes.

Main Results:

  • A communication architecture was proposed using edge and fog computing.
  • A method was developed to help farmers deploy decision trees for automated installation of smart systems.

Conclusions:

  • The proposed approach empowers farmers to develop smart farming systems in existing and new facilities.
  • User involvement in IoT design is crucial for successful technology integration in agriculture.