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Energy-Efficient IoT-Based Light Control System in Smart Indoor Agriculture.

Oussama Hadj Abdelkader1, Hadjer Bouzebiba1, Danilo Pena1

  • 1Research Center for Systems and Technologies (SYSTEC), ARISE, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal.

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Summary
This summary is machine-generated.

This study introduces an energy-efficient remote control system for indoor farming grow lights using Internet of Things (IoT) technology. The architecture enhances control and monitoring, contributing to more sustainable and cost-effective smart agriculture.

Keywords:
controlled environment agriculturedistributed controlinternet of thingsremote controlsmart indoor farmingwireless sensor network

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Area of Science:

  • Agricultural Engineering
  • Computer Science
  • Environmental Science

Background:

  • Indoor agriculture, particularly plant factories, offers increased efficiency and sustainability in food production.
  • Current plant factories face challenges with high energy consumption and precise environmental control.
  • Growing demand necessitates scalable and sustainable solutions for indoor farming.

Purpose of the Study:

  • To propose an energy-efficient remote control architecture for grow lights in indoor farming.
  • To leverage Internet of Things (IoT) technologies and automatic control algorithms for enhanced monitoring and management.
  • To address limitations in energy consumption and environmental control within plant factories.

Main Methods:

  • Developed a master-slave device configuration for controlling and monitoring grow lights.
  • Implemented a 6LoWPAN network with the RPL protocol for wireless data transfer.
  • Utilized emulation software (Contiki-NG v4.7) for method evaluation and scalability testing.

Main Results:

  • The proposed architecture enables precise, centralized control of growth conditions.
  • Real-time monitoring of plants within the indoor farming environment is achieved.
  • The system demonstrates scalability for large-scale production facilities.

Conclusions:

  • The developed IoT-based control architecture effectively addresses control, cost, and scalability issues in indoor farming.
  • This approach contributes to making smart indoor agriculture more effective and sustainable.
  • Integration with decision support systems can further improve yields and quality.