Real‐time remote sensing of the lobesia botrana moth using a wireless acoustic detection sensor

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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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.

Original languageEnglish
Article number11889
JournalApplied Sciences (Switzerland)
Issue number24
StatePublished - 1 Dec 2021


  • Acoustic sensor
  • Pest sensing
  • Real‐time sensor
  • Remote sensing
  • Smart agriculture
  • Wireless sensor


Dive into the research topics of 'Real‐time remote sensing of the lobesia botrana moth using a wireless acoustic detection sensor'. Together they form a unique fingerprint.

Cite this