SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique

Autores
De La Vega, Gerardo; Smith, Luciano; Soria-Mercier, Lihuen; Edwards, Wilson; Triñanes, Federico; Masagué, Santiago; Corley, Juan Carlos
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Invasive insects can cause significant economic impacts to agriculture worldwide and impact human health. Traditional pest management methods that include chemical insecticides have raised increasing environmental and health concerns, prompting the need for sustainable alternatives. The Sterile Insect Technique (SIT), which consists of releasing sterile males of a target pest to mate with wild females, is held as a promising solution. However, the success of SIT relies on the release of sterile males. The efficient separation of sexes prior to sterilization and release is necessary. This study presents SIT-ia, a software–hardware system that utilizes artificial intelligence (AI) and computer vision to automate the sex-sorting process. We showcase its use with the fruit fly pest D. suzukii. The system was able to identify males from females with a 98.6% accuracy, sorting 1000 sterile flies in ~70 min, which is nearly half the time involved in manual sorting by experts (i.e., ~112 min). This simple device can easily be adopted in SIT production protocols, improving the feasibility and efficacy of improved pest management practices.
EEA Bariloche
Fil: De La Vega, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: De La Vega, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: Smith, Luciano. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Soria-Mercier, Lihuen. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina
Fil: Edwards, Wilson. Servicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA). Centro Regional Patagonia Norte; Argentina
Fil: Triñanes, Federico. Universidad de la República (Udelar). Facultad de Química. Laboratorio de Ecología Química; Uruguay
Fil: Masagué, Santiago. Universidad de la República (Udelar). Facultad de Química. Laboratorio de Ecología Química; Uruguay
Fil: Corley, Juan Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: Corley, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: Corley, Juan Carlos. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina
Fuente
Insects 16 (11) : 1108. (November 2025)
Materia
Liberación de Insectos Estériles
Gestión de Plagas
Aprendizaje Automático
Inteligencia Artificial
Sterile Insect Release
Pest Management
Machine Learning
Drosophila
Artificial Intelligence
Sterile Insect Technique
Técnica del Insecto Estéril
Drosophila suzukii
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/24469
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oai_identifier_str oai:localhost:20.500.12123/24469
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spelling SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect TechniqueDe La Vega, GerardoSmith, LucianoSoria-Mercier, LihuenEdwards, WilsonTriñanes, FedericoMasagué, SantiagoCorley, Juan CarlosLiberación de Insectos EstérilesGestión de PlagasAprendizaje AutomáticoInteligencia ArtificialSterile Insect ReleasePest ManagementMachine LearningDrosophilaArtificial IntelligenceSterile Insect TechniqueTécnica del Insecto EstérilDrosophila suzukiiInvasive insects can cause significant economic impacts to agriculture worldwide and impact human health. Traditional pest management methods that include chemical insecticides have raised increasing environmental and health concerns, prompting the need for sustainable alternatives. The Sterile Insect Technique (SIT), which consists of releasing sterile males of a target pest to mate with wild females, is held as a promising solution. However, the success of SIT relies on the release of sterile males. The efficient separation of sexes prior to sterilization and release is necessary. This study presents SIT-ia, a software–hardware system that utilizes artificial intelligence (AI) and computer vision to automate the sex-sorting process. We showcase its use with the fruit fly pest D. suzukii. The system was able to identify males from females with a 98.6% accuracy, sorting 1000 sterile flies in ~70 min, which is nearly half the time involved in manual sorting by experts (i.e., ~112 min). This simple device can easily be adopted in SIT production protocols, improving the feasibility and efficacy of improved pest management practices.EEA BarilocheFil: De La Vega, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: De La Vega, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Smith, Luciano. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Soria-Mercier, Lihuen. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; ArgentinaFil: Edwards, Wilson. Servicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA). Centro Regional Patagonia Norte; ArgentinaFil: Triñanes, Federico. Universidad de la República (Udelar). Facultad de Química. Laboratorio de Ecología Química; UruguayFil: Masagué, Santiago. Universidad de la República (Udelar). Facultad de Química. Laboratorio de Ecología Química; UruguayFil: Corley, Juan Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Corley, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Corley, Juan Carlos. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; ArgentinaMDPI2025-11-05T13:22:31Z2025-11-05T13:22:31Z2025-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/24469https://www.mdpi.com/2075-4450/16/11/11082075-4450https://doi.org/10.3390/insects16111108Insects 16 (11) : 1108. (November 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-11-13T08:48:48Zoai:localhost:20.500.12123/24469instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-11-13 08:48:48.62INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
title SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
spellingShingle SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
De La Vega, Gerardo
Liberación de Insectos Estériles
Gestión de Plagas
Aprendizaje Automático
Inteligencia Artificial
Sterile Insect Release
Pest Management
Machine Learning
Drosophila
Artificial Intelligence
Sterile Insect Technique
Técnica del Insecto Estéril
Drosophila suzukii
title_short SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
title_full SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
title_fullStr SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
title_full_unstemmed SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
title_sort SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique
dc.creator.none.fl_str_mv De La Vega, Gerardo
Smith, Luciano
Soria-Mercier, Lihuen
Edwards, Wilson
Triñanes, Federico
Masagué, Santiago
Corley, Juan Carlos
author De La Vega, Gerardo
author_facet De La Vega, Gerardo
Smith, Luciano
Soria-Mercier, Lihuen
Edwards, Wilson
Triñanes, Federico
Masagué, Santiago
Corley, Juan Carlos
author_role author
author2 Smith, Luciano
Soria-Mercier, Lihuen
Edwards, Wilson
Triñanes, Federico
Masagué, Santiago
Corley, Juan Carlos
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Liberación de Insectos Estériles
Gestión de Plagas
Aprendizaje Automático
Inteligencia Artificial
Sterile Insect Release
Pest Management
Machine Learning
Drosophila
Artificial Intelligence
Sterile Insect Technique
Técnica del Insecto Estéril
Drosophila suzukii
topic Liberación de Insectos Estériles
Gestión de Plagas
Aprendizaje Automático
Inteligencia Artificial
Sterile Insect Release
Pest Management
Machine Learning
Drosophila
Artificial Intelligence
Sterile Insect Technique
Técnica del Insecto Estéril
Drosophila suzukii
dc.description.none.fl_txt_mv Invasive insects can cause significant economic impacts to agriculture worldwide and impact human health. Traditional pest management methods that include chemical insecticides have raised increasing environmental and health concerns, prompting the need for sustainable alternatives. The Sterile Insect Technique (SIT), which consists of releasing sterile males of a target pest to mate with wild females, is held as a promising solution. However, the success of SIT relies on the release of sterile males. The efficient separation of sexes prior to sterilization and release is necessary. This study presents SIT-ia, a software–hardware system that utilizes artificial intelligence (AI) and computer vision to automate the sex-sorting process. We showcase its use with the fruit fly pest D. suzukii. The system was able to identify males from females with a 98.6% accuracy, sorting 1000 sterile flies in ~70 min, which is nearly half the time involved in manual sorting by experts (i.e., ~112 min). This simple device can easily be adopted in SIT production protocols, improving the feasibility and efficacy of improved pest management practices.
EEA Bariloche
Fil: De La Vega, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: De La Vega, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: Smith, Luciano. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Soria-Mercier, Lihuen. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina
Fil: Edwards, Wilson. Servicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA). Centro Regional Patagonia Norte; Argentina
Fil: Triñanes, Federico. Universidad de la República (Udelar). Facultad de Química. Laboratorio de Ecología Química; Uruguay
Fil: Masagué, Santiago. Universidad de la República (Udelar). Facultad de Química. Laboratorio de Ecología Química; Uruguay
Fil: Corley, Juan Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: Corley, Juan Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina
Fil: Corley, Juan Carlos. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina
description Invasive insects can cause significant economic impacts to agriculture worldwide and impact human health. Traditional pest management methods that include chemical insecticides have raised increasing environmental and health concerns, prompting the need for sustainable alternatives. The Sterile Insect Technique (SIT), which consists of releasing sterile males of a target pest to mate with wild females, is held as a promising solution. However, the success of SIT relies on the release of sterile males. The efficient separation of sexes prior to sterilization and release is necessary. This study presents SIT-ia, a software–hardware system that utilizes artificial intelligence (AI) and computer vision to automate the sex-sorting process. We showcase its use with the fruit fly pest D. suzukii. The system was able to identify males from females with a 98.6% accuracy, sorting 1000 sterile flies in ~70 min, which is nearly half the time involved in manual sorting by experts (i.e., ~112 min). This simple device can easily be adopted in SIT production protocols, improving the feasibility and efficacy of improved pest management practices.
publishDate 2025
dc.date.none.fl_str_mv 2025-11-05T13:22:31Z
2025-11-05T13:22:31Z
2025-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/24469
https://www.mdpi.com/2075-4450/16/11/1108
2075-4450
https://doi.org/10.3390/insects16111108
url http://hdl.handle.net/20.500.12123/24469
https://www.mdpi.com/2075-4450/16/11/1108
https://doi.org/10.3390/insects16111108
identifier_str_mv 2075-4450
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Insects 16 (11) : 1108. (November 2025)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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