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Smart Control and Energy Efficiency in Irrigation Systems Using LoRaWAN.

Francisco Sánchez-Sutil1, Antonio Cano-Ortega1

  • 1Department of Electrical Engineering, University of Jaen, Campus Lagunillas s/n, Edificio A3, 23071 Jaén, Spain.

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|November 13, 2021
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Summary
This summary is machine-generated.

This study presents a LoRaWAN-based system for optimizing irrigation, using rainfall probability to conserve water and energy. The developed system ensures reliable data transmission for efficient resource management in agricultural and urban settings.

Keywords:
LoRaWANsmart energysmart irrigation systems

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Area of Science:

  • Agricultural Engineering
  • Wireless Sensor Networks
  • Internet of Things

Background:

  • Irrigation systems consume significant water and energy, necessitating resource optimization.
  • Wireless networks, particularly LoRaWAN, offer a low-power, long-range solution for remote monitoring and control.
  • Existing irrigation systems often lack intelligent control based on environmental data.

Purpose of the Study:

  • To develop and implement an intelligent control and monitoring system for irrigation using LoRaWAN technology.
  • To design an irrigation algorithm that leverages rainfall probability data for optimized water usage.
  • To create robust hardware components, including temperature and humidity sensors and electrovalve controllers, for LoRaWAN integration.

Main Methods:

  • Development of a novel irrigation algorithm incorporating rainfall probability.
  • Utilization of LoRaWAN for its extensive coverage (up to 5 km) and low power consumption.
  • Design and prototyping of specialized LoRaWAN devices: Temperature and Humidity Measurement Devices (THMDLs) and Electrovalve Control Devices (ECDLs).
  • Implementation of data packet loss reduction mechanisms within the LoRa network.

Main Results:

  • Successful development of a functional control and monitoring system for irrigation.
  • Demonstration of LoRaWAN's capability to cover diverse irrigation area sizes.
  • Validation of the irrigation algorithm's effectiveness in regulating water application based on predicted rainfall.
  • Creation of custom hardware (THMDLs and ECDLs) optimized for the LoRaWAN network.

Conclusions:

  • The developed LoRaWAN-based irrigation system effectively optimizes water and energy usage.
  • The system's design, incorporating rainfall probability and robust data transmission, enhances irrigation efficiency.
  • LoRaWAN technology provides a scalable and reliable solution for smart irrigation across various agricultural and urban applications.