Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/35790

Título:

AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants

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Autor:

Sabattini, J.A.
Reta, J.M.
Bugnon, L.A.
Cerrudo, J.I.
Sabattini, R.A.
Peñalva, A.
Bollazi, M.
Paz, M.O.
Sturniolo, F.

Tutor:

Tipo de documento:

Artículo

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Palabras clave:

Embedded systems
Survival camera
Animal behavior
Continuous monitoring

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Año de publicación:

2022

Contenido:

Resumen:

The leafcutter ants (LCA) are considered plague in a great part of the American continent, causing great damage in production fields. Knowing the locomotion and foraging rhythm in LCA on a continuous basis would imply a significant advance for ecological studies, fundamentally of animal behavior. However, studying the forage rhythm of LCA in the field involves a significant human effort. This also adds a risk of subjective results due to the operator fatigue. In this work a new development named ‘AntVideoRecord’ is proposed to address this issue. This device is a low-cost autonomous system that records videos of the LCA path in a fixed position. The device can be easily reproduced using the freely accessible source code provided. The evaluation of this novel device was successful because it has exceeded all the basic requirements in the field: record continuously for at least seven days, withstand high and low temperatures, capture acceptable videos during the day and night, and have a simple configuration protocol by mobile devices and laptops. It was possible to confirm the correct operation of the device, being able to record more than 1900 h in the field at different climate conditions and times of the day. 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC

Descripción:

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Editorial:

Elsevier

EN:

HardwareX, 2022, 11

Financiadores:

ANII: FMV 156057

Citación:

Sabattini, J, Reta, J, Bugnon. y otros. "AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants". HardwareX. [en línea] 2022, 11. Elsevier, e00270, DOI: https://doi.org/10.1016/j.ohx.2022.e00270

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ISBN:

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ISSN:

2468-0672

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Licencia:

Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)

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Sabattini et al. - AntVideoRecord Autonomous.pdf Artículo científico 3.55 MB Adobe PDF