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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors

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Author(s):
Parmezan, Antonio R. S. [1] ; Souza, Vinicius M. A. [2] ; Zliobaite, Indre [3] ; Batista, Gustavo E. A. P. A. [4]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Inst Math & Comp Sci, Lab Computat Intelligence, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil
[2] Pontificia Univ Catolica Parana, PPGIa, Rua Imaculada Conceicao 1155, BR-80215901 Curitiba, PR - Brazil
[3] Univ Helsinki, Dept Comp Sci, POB 68, Helsinki - Finland
[4] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW 2052 - Australia
Total Affiliations: 4
Document type: Journal article
Source: Apidologie; v. 52, n. 4, p. 731-748, AUG 2021.
Web of Science Citations: 0
Abstract

We study how the behavior and wing-beat frequency of hymenopteran flying insects depend on environmental conditions, such as temperature and relative humidity. We use flight data from seven bee species and two wasp species collected in Brazil in a completely non-invasive way under field conditions employing a low-cost optical sensor. With this data, we demonstrate that it is possible to accurately classify each insect species into two groups based on their flight frequency signal. The signals, however, are not the same under distinct environmental conditions. We statistically show that the bee and wasp wing-beat frequencies are significantly different, given distinct temperature and humidity ranges. This study's findings, along with our discussion of the species' flight activity, are crucial elements in developing intelligent methods for automatic detection, recognition, and monitoring of flying insects. (AU)

FAPESP's process: 16/04986-6 - Intelligent traps and sensors: an innovative approach to control insect pests and disease vectors
Grantee:Gustavo Enrique de Almeida Prado Alves Batista
Support type: Research Grants - eScience and Data Science Program - Regular Program Grants