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

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Bibliografiske detaljer
Udgivet i:Insects vol. 16, no. 11 (2025), p. 1108-1121
Hovedforfatter: de la Vega Gerardo
Andre forfattere: Smith, Luciano, Soria-Mercier Lihuen, Edwards, Wilson, Triñanes Federico, Masagué Santiago, Corley, Juan
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MDPI AG
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LEADER 00000nab a2200000uu 4500
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003 UK-CbPIL
022 |a 2075-4450 
024 7 |a 10.3390/insects16111108  |2 doi 
035 |a 3275535007 
045 2 |b d20250101  |b d20251231 
084 |a 231475  |2 nlm 
100 1 |a de la Vega Gerardo  |u Instituto de Investigaciones Forestales y Agropecuarias de Bariloche, Instituto Nacional de Tecnología Agropecuaria–Consejo Nacional de Investigaciones Científicas y Técnicas (IFAB, INTA–CONICET), San Carlos de Bariloche 8400, Río Negro, Argentina 
245 1 |a SIT-ia: A Software-Hardware System to Improve Male Sorting Efficacy for the Sterile Insect Technique 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
651 4 |a Shenzhen China 
651 4 |a China 
653 |a Software 
653 |a Males 
653 |a Invasive species 
653 |a Artificial intelligence 
653 |a Deep learning 
653 |a Hardware 
653 |a Invasive insects 
653 |a Management methods 
653 |a Male sterility 
653 |a Females 
653 |a Data processing 
653 |a Population growth 
653 |a Pest control 
653 |a Computer vision 
653 |a Insects 
653 |a Economic impact 
653 |a Sterilization 
653 |a Insecticides 
653 |a Lasers 
653 |a Neural networks 
653 |a Pests 
653 |a Classification 
653 |a Effectiveness 
653 |a Fruit flies 
653 |a Sex 
653 |a Algorithms 
653 |a Sterilized organisms 
653 |a Control methods 
653 |a Environmental 
700 1 |a Smith, Luciano  |u Facultad de Ingeniería, Universidad de Buenos Aires (UBA), Buenos Aires C1063ACV, Argentina 
700 1 |a Soria-Mercier Lihuen  |u Centro Regional Universitario Bariloche, Universidad Nacional del Comahue CRUB (UNCOMA), San Carlos de Bariloche 8400, Río Negro, Argentina 
700 1 |a Edwards, Wilson  |u Servicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA), Centro Regional Patagonia Norte, San Carlos de Bariloche 8400, Río Negro, Argentina 
700 1 |a Triñanes Federico  |u Laboratorio de Ecología Química, Facultad de Química, Universidad de la República (UdelaR), Montevideo 11800, Uruguay 
700 1 |a Masagué Santiago  |u Laboratorio de Ecología Química, Facultad de Química, Universidad de la República (UdelaR), Montevideo 11800, Uruguay 
700 1 |a Corley, Juan  |u Instituto de Investigaciones Forestales y Agropecuarias de Bariloche, Instituto Nacional de Tecnología Agropecuaria–Consejo Nacional de Investigaciones Científicas y Técnicas (IFAB, INTA–CONICET), San Carlos de Bariloche 8400, Río Negro, Argentina 
773 0 |t Insects  |g vol. 16, no. 11 (2025), p. 1108-1121 
786 0 |d ProQuest  |t Agriculture Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3275535007/abstract/embedded/Y2VX53961LHR7RE6?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3275535007/fulltextwithgraphics/embedded/Y2VX53961LHR7RE6?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3275535007/fulltextPDF/embedded/Y2VX53961LHR7RE6?source=fedsrch