Wasp entry and exit from the nest recorded by automatic detection

Registro completo

Título

Wasp entry and exit from the nest recorded by automatic detection

Autor(es)

Martinez Von Ellrichshausen, Andres Santiago; Masciocchi, Maité

Afiliación(es) del/de los autor(es)

Martinez Von Ellrichshausen, Andres Santiago. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Masciocchi, Maité. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina

Resumen

1.We describe the development and validation of an autonomous monitoring station that identifies and records the movement of social insects into and out of the colony. 2.The hardware consists of an illuminated channel and a fixed camera to capture the wasps' activities. An ad-hoc post-processing software was developed to identify the direction of movement and caste of the recorded individuals. 3.Validation results indicate that the model can recognize the direction of movement of wasps and identifying workers and drones with higher accuracy than gynes. Further development of the software and hardware should enable higher levels of accuracy. 4.This innovative tool holds immense potential for advancing ecological and behavioural research by providing researchers with rapid and easily accessible data. 5.Understanding the activity patterns of individual wasps within the colony can yield valuable insights into factors influencing their growth, foraging patterns, and the behaviour of reproductive individuals. Ultimately, this information can be incorporated into effective management plans for controlling harmful social insect populations in both ecological and productive systems.

Año de publicación

2024

Idioma

inglés

Formato (Tipo MIME)

text/plain

Clasificación temática de acuerdo a la FORD

Ciencias biológicas

Condiciones de uso

Disponible en acceso abierto bajo licencia Creative Commons https://creativecommons.org/licenses/by-nc-sa/2.5/ar/

Repositorio digital

CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas

Identificador de proyecto

Ministerio de Ciencia. Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica/PICT 2018-657