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On the Use of Wireless Sensor Nodes for Agricultural Smart Fault Detection

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Abstract

Modern agriculture increasingly relies on technology to enhance productivity and sustainability. This paper explores the integration of wireless sensor nodes as a pioneering approach for smart fault detection in agricultural systems. This research delves into the design, implementation, and validation of a network of wireless sensors strategically placed across agricultural fields. These sensors are equipped with advanced data collection capabilities to monitor various environmental parameters such as soil moisture, temperature, humidity, and plant health indicators. Using machine learning algorithms and data analytics, these sensor nodes autonomously detect anomalies, diseases, irrigation issues, and other faults in real-time. The paper discusses the technological framework, the challenges encountered, and the potential benefits of employing wireless sensor nodes for proactive fault detection in agriculture. The results demonstrate the efficiency of this approach in optimizing irrigation, fertilizer use, predictive harvesting, mitigating crop losses, and fostering sustainable farming practices. Ultimately, this research contributes to the advancement of precision agriculture by offering a scalable and efficient solution for early fault detection and intervention, thereby revolutionizing farming practices towards increased efficiency and sustainability.

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Data Availability

The data used to support the findings of this research are available from the corresponding author upon request.

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Acknowledgements

The authors extend their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, KSA for funding this research work through the project number “NBU-FFR-2023-0176”.

Funding

This research work is funded by the Deanship of Scientific Research at Northern Border University, Arar, King Saudi Arabia through the project number: NBU-FFR-2023-0176.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Engineering School of Tunis: Ecole Nationale d’Ingenieurs de Tunis, 1002, Tunis, Tunisia

    Mohamed Salah Salhi, Manel Salhi & Faouzi Benzarti

  2. Department of Electrical Engineering, College of Engineering, Northern Border University, 73222, Arar, Saudi Arabia

    Ezzeddine Touti

  3. Department of Electrical Engineering, National Higher Engineering School of Tunis, University of Tunis, 1008, Tunis, Tunisia

    Ezzeddine Touti

  4. Department of Electronics, Faculty of Sciences, University of Tunis El Manar, 1002, Tunis, Tunisia

    Naoufel Zitouni

Authors
  1. Mohamed Salah Salhi
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  2. Manel Salhi
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  3. Ezzeddine Touti
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  4. Naoufel Zitouni
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  5. Faouzi Benzarti
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Mohamed Salah Salhi, Manel Salhi and Ezzeddine Touti. Naoufel Zitouni and Professor Faouzi Benzarti participated in the planning of the paper and ideas. The first draft of the manuscript was written by Mohamed Salah Salhi and all authors commented on previous versions of the manuscript. Mohamed Salah Salhi, Manel Salhi and Ezzeddine Touti ensured the revision of the paper following the Reviewer comments. All authors read and approved the final manuscript.

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Correspondence to Ezzeddine Touti.

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Salhi, M.S., Salhi, M., Touti, E. et al. On the Use of Wireless Sensor Nodes for Agricultural Smart Fault Detection. Wireless Pers Commun 134, 95–117 (2024). https://doi.org/10.1007/s11277-024-10889-8

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