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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179007Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | COELHO, L. de F. O. | |
| dc.contributor.author | TAVARES, C. P. | |
| dc.contributor.author | SILVA, A. C. | |
| dc.contributor.author | PRATA, M. C. de A. | |
| dc.contributor.author | COSTA JÚNIOR, L. M. | |
| dc.date.accessioned | 2025-09-22T18:48:57Z | - |
| dc.date.available | 2025-09-22T18:48:57Z | - |
| dc.date.created | 2025-09-22 | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | In: CONFERENCE OF THE WORLD ASSOCIATION FOR THE ADVANCEMENT OF VETERINARY PARASITOLOGY, 30., 2025, Curitiba. Abstract book. Curitiba: Universidade Federal do Paraná, 2025. | |
| dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179007 | - |
| dc.description | This study aimed to validate a new artificial intelligence-based technology for predicting the efficacy of acaricidal products against Rhipicephalus microplus. Engorged females from 20 different populations were subjected to the adult immersion test, being divided into 15 experimental groups (n = 10): one untreated control group and 14 treated groups with different acaricides, applied at single and specific concentrations as indicated by the manufacturers. After the incubation period, 0.1 g samples of eggs with 14 days of oviposition were collected from each treatment and population for automated efficacy analysis. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.title | Validation of a new artificial intelligence based technology for predicting acaricidal efficacy against Rhipicephalus microplus. | |
| dc.type | Resumo em anais e proceedings | |
| dc.subject.thesagro | Bovino | |
| dc.subject.thesagro | Carrapato | |
| dc.subject.thesagro | Acaricida | |
| dc.format.extent2 | p. 317-318. | |
| riaa.ainfo.id | 1179007 | |
| riaa.ainfo.lastupdate | 2025-09-22 | |
| dc.contributor.institution | LOURDINEIA DE FÁTIMA OLIVEIRA COELHO, UNIVERSIDADE FEDERAL DO MARANHAO; CAIO PAVÃO TAVARES, UNIVERSIDADE FEDERAL DO MARANHAO; ARISTÓFANES CORRÊA SILVA, UNIVERSIDADE FEDERAL DO MARANHAO; MARCIA CRISTINA DE AZEVEDO PRATA, CNPGL; LIVIO MARTINS COSTA JÚNIOR, UNIVERSIDADE FEDERAL DO MARANHAO. | |
| Appears in Collections: | Resumo em anais de congresso (CNPGL)  | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Validation-of-a-new-artificial-intelligence.pdf | 771,65 kB | Adobe PDF |  View/Open |
