Automated electronic approaches for detecting disease vectors mosquitoes through the wing-beat frequency

摘要: Abstract The knowledge of flying insects wing-beat acoustical properties supported the progress sensing disease vectors mosquitoes in free flight. classification individual species' through frequencies and respective harmonics is principle frequency spectrum analysis method both optical sensors approaches for mosquitoes. Investigations based on acoustic devices, microphones, amplifiers, recorders have produced extensive scientific contributions to behavioral biological insects’ knowledge. Moreover, researches approach are accountable massive available database species gender classification. However, it was advent detection that allowed sensor devices become smaller, cheaper, faster, self-triggered, further reliable energy efficient. These benefits enabled state art monitoring move towards smarter automatically process data greater autonomy inaccessible locations. Consequently, becomes plausible break geographic, economic social boundaries sensing, allowing ubiquitous disease-vector mosquito populations. This paper reviews related literature automated electronic identifies open issues opportunities expanding scenarios considering new processing emerging transmission technologies.