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An auto-validation method for a complete IoT pivot irrigation model based on the Penman-Monteith equation.

Abdelrahman Osman Elfaki1, Saleh Ali Albelwi2, Abderrahim Lakhouit3

  • 1Department of Computer Science, Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia. a.elfaki@ut.edu.sa.

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Summary

This study introduces a comprehensive IoT pivot irrigation system with auto-validation, optimizing water use in agriculture. The model addresses key challenges, improving efficiency and productivity compared to traditional methods.

Keywords:
Crop water requirementsIoTIrrigation system scalabilityPenman–Monteith equationPivot irrigation

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Area of Science:

  • Agricultural Engineering
  • Internet of Things (IoT)

Background:

  • Pivot irrigation systems aim to increase farmland cultivation without escalating water consumption.
  • Existing systems face challenges in crop water requirement determination, IoT integration, data interpretation, and validation.

Purpose of the Study:

  • To present a comprehensive IoT pivot irrigation model with an auto-validation method.
  • To address challenges in IoT pivot irrigation, including sensor errors and data interpretation.
  • To develop a benchmark framework for evaluating pivot irrigation systems.

Main Methods:

  • Developed a complete IoT pivot irrigation model incorporating an auto-validation mechanism.
  • Utilized the Penman-Monteith equation for the auto-validation process.
  • Established a benchmark framework for system evaluation.

Main Results:

  • The proposed auto-validation method protects the pivot system from sensor errors.
  • The model successfully addresses identified challenges, offering a comprehensive IoT solution.
  • Experimental validation using grass demonstrated significant improvements over traditional irrigation.

Conclusions:

  • The developed IoT pivot irrigation model with auto-validation is effective for optimizing water usage.
  • The benchmark framework provides a standardized approach for future research and development.
  • The system enhances agricultural productivity and offers a viable solution for modern farming.