Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1119503
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dc.contributor.authorLINS, E. A.eng
dc.contributor.authorRODRIGUEZ, J. P. M.eng
dc.contributor.authorSCOLOSKI, S. I.eng
dc.contributor.authorPIVATO, J.eng
dc.contributor.authorLIMA, M. B.eng
dc.contributor.authorFERNANDES, J. M. C.eng
dc.contributor.authorPEREIRA, P. R. V. da S.eng
dc.contributor.authorLAU, D.eng
dc.contributor.authorRIEDER, R.eng
dc.date.accessioned2020-01-29T00:37:09Z-
dc.date.available2020-01-29T00:37:09Z-
dc.date.created2020-01-28
dc.date.issued2020
dc.identifier.citationComputers and Electronics in Agriculture, n. 169, 2020.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1119503-
dc.descriptionAphids are insects that attack crops and cause damage directly, by consuming the sap of plants, and indirectly,by vectoring microorganisms that can cause diseases. Cereal crops are hosts for many aphid species, includingRhopalosiphumpadi(an economically important aphid species). Recording and classifying aphids are necessaryfor evaluating and predicting crop damage. Thus, serving as a basis for decision making on the utilization ofcontrolmeasures.Itcanalsobeusefultoevaluateplantresistancetoaphids.Traditionally,therecordingprocessis manual and depends on magnification and well-trained staff. The manual counting is also a time-consumingprocess and susceptible to errors. With this in mind, this paper presents a method and software to automate thecounting and classification ofRhopalosiphum padiusing image processing, computer vision, and machinelearningmethods.Thetextalsopresentsacomparisonofmanuallycountsfromexpertsandvaluesobtainedwiththe software, considering 40 samples. The results showed strong positive correlation in counting and classifi-cation(rs=0.92579)and measurement (r=0.9799).Concluding, thesoftware provedtobe reliableandusefulto aphid population monitoring studies.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectAphidseng
dc.subjectCountingeng
dc.titleA method for counting and classifying aphids using computer vision.eng
dc.typeArtigo de periódicoeng
dc.date.updated2020-01-29T11:11:11Z
dc.subject.nalthesaurusClassificationeng
dc.subject.nalthesaurusComputer visioneng
dc.subject.nalthesaurusMeasurementeng
riaa.ainfo.id1119503eng
riaa.ainfo.lastupdate2020-09-17 -03:00:00
dc.identifier.doihttps://doi.org/10.1016/j.compag.2019.105200eng
dc.contributor.institutionELISON ALFEU LINS, University of Passo Fundo (UPF), Passo Fundo, Rio Grande do Sul, Brazil1eng
dc.contributor.institutionJOÃO PEDRO MAZUCO RODRIGUEZ, University of Passo Fundo (UPF), Passo Fundo, Rio Grande do Sul, Brazileng
dc.contributor.institutionSANDY ISMAEL SCOLOSKI, University of Passo Fundo (UPF), Passo Fundo, Rio Grande do Sul, Brazil1eng
dc.contributor.institutionJULIANA PIVATO, The Brazilian Agricultural Research Corporation (Embrapa Wheat), Passo Fundo, Rio Grande do Sul, Brazil2eng
dc.contributor.institutionMARÍLIA BALOTIN LIMA, The Brazilian Agricultural Research Corporation (Embrapa Wheat), Passo Fundo, Rio Grande do Sul, Brazil2eng
dc.contributor.institutionJOSE MAURICIO CUNHA FERNANDES, CNPTeng
dc.contributor.institutionPAULO ROBERTO VALLE DA S PEREIRA, CNPFeng
dc.contributor.institutionDOUGLAS LAU, CNPTeng
dc.contributor.institutionRAFAEL RIEDER, University of Passo Fundo (UPF), Passo Fundo, Rio Grande do Sul, Brazil1.eng
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