Título:
AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants
Otros títulos:
Coordinador:
Director:
Compilador:
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.
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
Editor:
Palabras clave:
Embedded systems
Survival camera
Animal behavior
Continuous monitoring
Survival camera
Animal behavior
Continuous monitoring
Descriptores:
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:
metadata.articulos.dc.description.uri:
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
Citación:
metadata.articulos.cc.license.name:
ISBN:
e-ISBN:
ISSN:
2468-0672
ISMN:
Otros identificadores:
Cobertura geográfica:
Cobertura temporal:
Departamento académico:
Grupo de investigación:
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| Sabattini et al. - AntVideoRecord Autonomous.pdf | Artículo científico | 3.55 MB | Adobe PDF |
