02275nas a2200265   4500008004100000245009000041210006900131260001600200300001600216490000700232520146000239653002701699653003101726653002101757653001901778653002201797653002901819100001701848700001901865700002101884700002201905700002001927700001801947856004401965       2013                        eng d00aOn the Design of a Bioacoustic Sensor for the Early Detection  of the Red Palm Weevil0 aDesign of a Bioacoustic Sensor for the Early Detection of the Re  cJan-02-2013  a1706 - 17290 v133 a<p>During the last two decades Red Palm Weevil (RPW, Rynchophorus Ferrugineus) has become one of the most dangerous threats to palm trees in many parts of the World. Its early detection is difficult, since palm trees do not show visual evidence of infection until it is too late for them to recover. For this reason the development of efficient early detection mechanisms is a critical element of RPW pest management systems. One of the early detection mechanisms proposed in the literature is based on acoustic monitoring, as the activity of RPW larvae inside the palm trunk is audible for human operators under acceptable environmental noise levels (rural areas, night periods, etc.). In this work we propose the design of an autonomous bioacoustic sensor that can be installed in every palm tree under study and is able to analyze the captured audio signal during large periods of time. The results of the audio analysis would be reported wirelessly to a control station, to be subsequently processed and conveniently stored. That control station is to be accessible via the Internet. It is programmed to send warning messages when predefined alarm thresholds are reached, thereby allowing supervisors to check on-line the status and evolution of the palm tree orchards. We have developed a bioacoustic sensor prototype and performed an extensive set of experiments to measure its detection capability, achieving average detection rates over 90%.</p>
10aacoustic sensor design10aacoustic signal processing10apattern matching10apest detection10awavelet transform10awireless sensor networks1 aRach, Miguel1 aGomis, Héctor1 aGranado, Otoniel1 aMalumbres, Manuel1 aCampoy, Antonio1 aMartín, Juan  uhttp://www.mdpi.com/1424-8220/13/2/1706