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A Smart Agricultural System Based on PLC and a Cloud Computing Web Application Using LoRa and LoRaWan.

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Summary
This summary is machine-generated.

This study introduces a smart farming system using Internet of Things (IoT) and Long Range (LoRa) wireless technology. The system enhances agricultural efficiency through real-time monitoring and automated control, improving food production.

Keywords:
Industry 4.0IoTLoRaLoRaWanNodeRedcloud serversmart farmingwireless monitoring

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Area of Science:

  • Agricultural Engineering
  • Computer Science
  • Wireless Communication

Background:

  • Increasing global food demand and agricultural challenges necessitate advanced farming solutions.
  • Smart farming systems offer real-time management and automation to boost productivity and food safety.
  • Existing industrial control systems like Programmable Logic Controllers (PLCs) are prevalent in agriculture.

Purpose of the Study:

  • To present a customized smart farming system utilizing low-cost, low-power, wide-range wireless sensor networks.
  • To integrate Long Range (LoRa) technology with Programmable Logic Controllers (PLCs) for enhanced farm automation.
  • To develop a cloud-based monitoring application and a Telegram bot for remote control and user communication.

Main Methods:

  • Implementation of a wireless sensor network using Internet of Things (IoT) and Long Range (LoRa) technologies.
  • Integration of LoRa connectivity with Simatic IOT2040 for controlling farm processes and machinery via PLCs.
  • Development of a web-based application hosted on a cloud server for data processing and remote visualization.
  • Inclusion of a Telegram bot for automated user notifications and interaction.
  • Evaluation of the proposed network structure and wireless LoRa path loss.

Main Results:

  • Successful integration of LoRa technology with PLCs for smart farming applications.
  • Development of a functional cloud-based monitoring system enabling remote farm management.
  • Demonstration of automated communication through a Telegram bot.
  • Characterization of network performance through path loss evaluation in wireless LoRa communication.

Conclusions:

  • The proposed customized smart farming system effectively leverages IoT and LoRa technologies for efficient agricultural management.
  • The system provides a scalable and cost-effective solution for enhancing productivity, safety, and automation in the agri-food supply chain.
  • Further research can focus on optimizing LoRa network performance and expanding system functionalities.