Evidence map›Paper›PMID 41302854›Full record

ArticleInsects2025

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

Gerardo de la Vega, Luciano Smith, Lihuen Soria-Mercier, Wilson Edwards, Federico Triñanes, Santiago Masagué, Juan Corley

Abstract read
In one paragraph

Article in Insects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gerardo de la VegaInstituto 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.
Luciano SmithFacultad de Ingeniería, Universidad de Buenos Aires (UBA), Buenos Aires C1063ACV, Argentina.
Lihuen Soria-MercierCentro Regional Universitario Bariloche, Universidad Nacional del Comahue CRUB (UNCOMA), San Carlos de Bariloche 8400, Río Negro, Argentina.
Wilson EdwardsServicio Nacional de Sanidad y Calidad Agroalimentaria (SENASA), Centro Regional Patagonia Norte, San Carlos de Bariloche 8400, Río Negro, Argentina.
Federico TriñanesLaboratorio de Ecología Química, Facultad de Química, Universidad de la República (UdelaR), Montevideo 11800, Uruguay.
Santiago MasaguéLaboratorio de Ecología Química, Facultad de Química, Universidad de la República (UdelaR), Montevideo 11800, Uruguay.ORCID 0000-0002-4870-7094
Juan CorleyInstituto 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.ORCID 0000-0002-8032-2223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

artificial intelligenceconvolutional neural network architecturesmachine learningmale sortingpest managementspotted wing drosophila

Identifiers

PMID41302854
PMCPMC12653961

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.