Applied Sciences (Dec 2021)

Real-Time Remote Sensing of the <i>Lobesia botrana</i> Moth Using a Wireless Acoustic Detection Sensor

  • Gabriel Hermosilla,
  • Francisco Pizarro,
  • Sebastián Fingerhuth,
  • Francisco Lazcano,
  • Francisco Santibanez,
  • Nelson Baker,
  • David Castro,
  • Carolina Yáñez

DOI
https://doi.org/10.3390/app112411889
Journal volume & issue
Vol. 11, no. 24
p. 11889

Abstract

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This article presents a wireless sensor for pest detection, specifically the Lobesia botrana moth or vineyard moth. The wireless sensor consists of an acoustic-based detection of the sound generated by a flying Lobesia botrana moth. Once a Lobesia botrana moth is detected, the information about the time, geographical location of the sensor and the number of detection events is sent to a server that gathers the detection statistics in real-time. To detect the Lobesia botrana, its acoustic signal was previously characterized in a controlled environment, obtaining its power spectral density for the acoustic filter design. The sensor is tested in a controlled laboratory environment where the detection of the flying moths is successfully achieved in the presence of all types of environmental noises. Finally, the sensor is installed on a vineyard in a region where the moth has already been detected. The device is able to detect flying Lobesia botrana moths during its flying period, giving results that agree with traditional field traps.

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