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Open AccessArticle

Automated Surveillance of Fruit Flies

Department of Music Technology & Acoustics, Technological Educational Institute of Crete, Rethymno Crete 74100, Greece
Department of Electronics, Technological Educational Institute of Crete, Chania Crete 73133, Greece
Department of Electronics Engineering, Piraeus University of Applied Sciences, Athens 12244, Greece
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Sensors 2017, 17(1), 110;
Received: 8 November 2016 / Revised: 2 January 2017 / Accepted: 5 January 2017 / Published: 8 January 2017
(This article belongs to the Collection Sensors in Agriculture and Forestry)
Insects of the Diptera order of the Tephritidae family cause costly, annual crop losses worldwide. Monitoring traps are important components of integrated pest management programs used against fruit flies. Here we report the modification of typical, low-cost plastic traps for fruit flies by adding the necessary optoelectronic sensors to monitor the entrance of the trap in order to detect, time-stamp, GPS tag, and identify the species of incoming insects from the optoacoustic spectrum analysis of their wingbeat. We propose that the incorporation of automated streaming of insect counts, environmental parameters and GPS coordinates into informative visualization of collective behavior will finally enable better decision making across spatial and temporal scales, as well as administrative levels. The device presented is at product level of maturity as it has solved many pending issues presented in a previously reported study. View Full-Text
Keywords: precision agriculture; insect surveillance; automatic monitoring precision agriculture; insect surveillance; automatic monitoring
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MDPI and ACS Style

Potamitis, I.; Rigakis, I.; Tatlas, N.-A. Automated Surveillance of Fruit Flies. Sensors 2017, 17, 110.

AMA Style

Potamitis I, Rigakis I, Tatlas N-A. Automated Surveillance of Fruit Flies. Sensors. 2017; 17(1):110.

Chicago/Turabian Style

Potamitis, Ilyas; Rigakis, Iraklis; Tatlas, Nicolaos-Alexandros. 2017. "Automated Surveillance of Fruit Flies" Sensors 17, no. 1: 110.

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