» Articles » PMID: 33803012

Design and Validation of Computerized Flight-Testing Systems with Controlled Atmosphere for Studying Flight Behavior of Red Palm Weevil, (Olivier)

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2021 Apr 3
PMID 33803012
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Understanding the flight characteristics of insect pests is essential for designing effective strategies and programs for their management. In this study, we designed, constructed, and validated the performance of modern flight-testing systems (flight mill and flight tunnel) for studying the flight behavior of red palm weevil (RPW) (Olivier) under a controlled atmosphere. The flight-testing mill consisted of a flight mill, a testing chamber with an automatically controlled microclimate, and a data logging and processing unit. The data logging and processing unit consisted of a USB digital oscilloscope connected with a laptop. We used MATLAB 2020A to implement a graphical user interface (GUI) for real-time sampling and data processing. The flight-testing tunnel was fitted with a horizontal video camera to photograph the insects during flight. The program of Image-Pro plus V 10.0.8 was used for image processing and numerical data analysis to determine weevil tracking. The mean flight speed of RPW was 82.12 ± 8.5 m/min, and the RPW stopped flying at the temperature of 20 °C. The RPW flight speed in the flight tunnel was slightly higher than that on the flight mill. The angular deceleration was 0.797 rad/s, and the centripetal force was 0.0203 N when a RPW tethered to the end of the rotating arm. The calculated moment of inertia of the RPW mass and the flight mill's rotating components was 9.521 × 10 N m. The minimum thrust force needed to rotate the flight mill was 1.98 × 10 N. Therefore, the minimum power required to rotate the flight mill with the mean revolution per min of 58.02 rpm was approximately 2.589 × 10 W. The designed flight-testing systems and their applied software proved productive and useful tools in unveiling essential flight characteristics of test insects in the laboratory.

Citing Articles

A simple computerized Arduino-based control system for insect rotary flight mills.

Casey M, Machtley S, Merten P, Hagler J J Insect Sci. 2023; 23(4).

PMID: 37428828 PMC: 10332499. DOI: 10.1093/jisesa/iead053.


A Deep-Learning Model for Real-Time Red Palm Weevil Detection and Localization.

Alsanea M, Habib S, Khan N, Alsharekh M, Islam M, Khan S J Imaging. 2022; 8(6).

PMID: 35735969 PMC: 9224703. DOI: 10.3390/jimaging8060170.


The Combined Effects of Precision-Controlled Temperature and Relative Humidity on Artificial Ripening and Quality of Date Fruit.

Mohammed M, Sallam A, Alqahtani N, Munir M Foods. 2021; 10(11).

PMID: 34828917 PMC: 8624740. DOI: 10.3390/foods10112636.

References
1.
Edwards J . The central nervous control of insect flight. 1961. J Exp Biol. 2006; 209(Pt 22):4411-3. DOI: 10.1242/jeb.02592. View

2.
Avalos J, Balasch S, Soto A . Flight behaviour and dispersal of Rhynchophorus ferrugineus (Coleoptera: Dryophthoridae) adults using mark-release-recapture method. Bull Entomol Res. 2016; 106(5):606-14. DOI: 10.1017/S0007485316000341. View

3.
Kissling W, Pattemore D, Hagen M . Challenges and prospects in the telemetry of insects. Biol Rev Camb Philos Soc. 2013; 89(3):511-30. DOI: 10.1111/brv.12065. View

4.
Avalos J, Marti-Campoy A, Soto A . Study of the flying ability of Rhynchophorus ferrugineus (Coleoptera: Dryophthoridae) adults using a computer-monitored flight mill. Bull Entomol Res. 2014; 104(4):462-70. DOI: 10.1017/S0007485314000121. View

5.
Lopez V, McClanahan M, Graham L, Hoddle M . Assessing the flight capabilities of the goldspotted oak borer (Coleoptera: Buprestidae) with computerized flight mills. J Econ Entomol. 2014; 107(3):1127-35. DOI: 10.1603/ec13525. View