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IoT-Based Strawberry Disease Prediction System for Smart Farming.

Sehan Kim1, Meonghun Lee2, Changsun Shin3

  • 1loT Research Division, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea. shkim72@etri.re.kr.

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|November 23, 2018
PubMed
Summary
This summary is machine-generated.

A new integrated cloud platform, Farm as a Service (FaaS), improves crop disease prediction by analyzing comprehensive agricultural data. This system enhances farm management and ensures reliable data transfer via its IoT-Hub network.

Keywords:
IoTLoRainfection forecast modeloneM2Mpredictionsmart farming

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Area of Science:

  • Agricultural Science
  • Computer Science
  • Environmental Science

Background:

  • Accurate crop disease prediction requires integrated analysis beyond individual factors.
  • Existing systems often lack comprehensive data handling and reliable communication for agricultural environments.

Purpose of the Study:

  • To develop a cloud-based integrated system for comprehensive agricultural environment information analysis and prediction.
  • To enhance farm management through a unified platform for device, data, and model management.
  • To improve the accuracy of crop disease prediction models.

Main Methods:

  • Development of a cloud-based Farm as a Service (FaaS) integrated system.
  • Integration of Internet of Things (IoT) device management and data analysis.
  • Construction of an IoT-Hub network model for reliable data transfer in diverse environments.
  • Verification using a strawberry infection prediction system compared against existing models.

Main Results:

  • The FaaS system effectively integrates data collection, analysis, and prediction for agricultural environments.
  • The IoT-Hub model demonstrated high communication reliability, even in poor network conditions.
  • The integrated FaaS system showed improved performance in strawberry disease prediction compared to other models.

Conclusions:

  • A comprehensive, cloud-based FaaS system significantly enhances crop disease prediction accuracy.
  • The developed IoT-Hub network ensures stable and reliable data communication essential for smart farming.
  • This integrated approach offers a robust solution for modern agricultural challenges.