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Unmanned Aerial System-Based Data Ferrying over a Sensor Node Station Network in Maize.

Jasreman Singh1, Yufeng Ge2, Derek M Heeren2

  • 1Department of Biomedical, Biological and Chemical Engineering, University of Missouri, 209 Agricultural Engineering Building, Columbia, MO 65211, USA.

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Summary
This summary is machine-generated.

This study explored unmanned aerial system (UAS) data ferries for wireless sensor networks (WSN) in agriculture. The UAS design showed effective data retrieval from maize fields, improving on-farm management.

Keywords:
communication success ratecrop canopy interferencedata ferryflight schedulinglong-range radiosmulti-rotor unmanned aerial systemunmanned aerial systemswireless communication

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Area of Science:

  • Agricultural Engineering
  • Wireless Sensor Networks
  • Robotics

Background:

  • Wireless Sensor Networks (WSN) offer potential for enhanced on-farm management and crop yields in agriculture.
  • Unmanned Aerial Systems (UAS) present a novel approach for data collection in agricultural settings.

Purpose of the Study:

  • To propose and evaluate UAS-enabled data ferry designs for communication with stationary WSN nodes in maize fields.
  • To investigate the practical adoptability of a selected UAS data ferrying design in conjunction with an established WSN system.

Main Methods:

  • Six UAS data ferry designs were conceptualized, with one selected based on defined criteria.
  • A UAS data ferry platform was constructed, integrating a transceiver radio, mini-laptop, and battery.
  • Field experiments were conducted over two growing seasons to assess communication success rate (CSR) at various heights and lateral distances.

Main Results:

  • The UAS data ferry successfully retrieved real-time soil and temperature data from WSN node stations.
  • Optimal communication performance was observed at a height of 31 m and within a 38 m lateral distance from the node stations.
  • Reduced communication efficiency was attributed to maize canopy interference and water-related losses.

Conclusions:

  • The developed UAS data ferry design is a viable solution for WSN data retrieval in maize cultivation.
  • UAS data ferries can enhance agricultural monitoring and management systems.
  • Further research should address interference mitigation for improved WSN communication in dense crop environments.