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Subject : coleoptera

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Academic Journal

Automatic ladybird beetle detection using deep-learning models.

Authors : Venegas P; Colegio de Ciencias e Ingenierías 'El Politécnico', Universidad San Francisco de Quito USFQ, Quito, Ecuador.; Calderon F

Subjects: Coleoptera/Coleoptera/Coleoptera/*classification ; Pattern Recognition, Automated/Pattern Recognition, Automated/Pattern Recognition, Automated/*methods; Algorithms

Source: PloS one [PLoS One] 2021 Jun 10; Vol. 16 (6), pp. e0253027. Date of Electronic Publication: 2021 Jun 10 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Optimized imaging methods for species-level identification of food-contaminating beetles.

Authors : Bera T; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR, 72079, USA.; Wu L

Subjects: Food Contamination* ; Imaging, Three-Dimensional*; Coleoptera/Coleoptera/Coleoptera/*classification

Source: Scientific reports [Sci Rep] 2021 Apr 12; Vol. 11 (1), pp. 7957. Date of Electronic Publication: 2021 Apr 12.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Optimized imaging methods for species-level identification of food-contaminating beetles

Authors : Zhichao Liu; Himansu J. Vyas; Joshua Xu

Subjects: 0301 basic medicine; Science; media_common.quotation_subject

Source: Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)Scientific Reports

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Automatic ladybird beetle detection using deep-learning models

Authors : Pérez, Noel; Venegas, Pablo; Benítez, Diego

Subjects: Computer science; Image Processing; Invasive Species

Source: PLoS ONEPLoS ONE, Vol 16, Iss 6 (2021)PLoS ONE, Vol 16, Iss 6, p e0253027 (2021)

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Pattern formation in a model for mountain pine beetle dispersal: linking model predictions to data

Authors : Rebecca C. Tyson; S. Strohm; James A. Powell

Subjects: Range (biology); General Mathematics; Idaho

Source: Bulletin of mathematical biology. 75(10)

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