Towards the automated identification of Chrysomya blow flies from wing images

Hdl Handle:
http://hdl.handle.net/10141/622377
Title:
Towards the automated identification of Chrysomya blow flies from wing images
Authors:
Macleod, N ( 0000-0002-7169-5036 ) ; Hall, MJR ( 0000-0002-8917-9646 ) ; Wardhana, AH
Citation:
Macleod, N. , Hall, M. J. and Wardhana, A. H. (2018), Towards the automated identification of Chrysomya blow flies from wing images. Med Vet Entomol. . doi:10.1111/mve.12302
Journal:
Medical and Veterinary Entomology
URI:
http://hdl.handle.net/10141/622377
DOI:
10.1111/mve.12302
Submitted date:
2018-05
Type:
Journal Article
Item Description:
This is the pre-peer reviewed version of the following article: Macleod, N. , Hall, M. J. and Wardhana, A. H. (2018), Towards the automated identification of Chrysomya blow flies from wing images. Med Vet Entomol. . doi:10.1111/mve.12302, which has been published in final form at https://doi.org/10.1111/mve.12302. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Subject Terms:
Chrysomya bezziana; Chrysomya megacephala; Chrysomya rufifacies; Calliphoridae; automated identification; biogeography; image classification; morphometrics; Old World screwworm fly; sexual dimorphism
ISSN:
0269-283X
Appears in Collections:
Life sciences

Full metadata record

DC FieldValue Language
dc.contributor.authorMacleod, Nen
dc.contributor.authorHall, MJRen
dc.contributor.authorWardhana, AHen
dc.date.accessioned2018-06-27T15:13:11Z-
dc.date.available2018-06-27T15:13:11Z-
dc.date.submitted2018-05-
dc.identifier.citationMacleod, N. , Hall, M. J. and Wardhana, A. H. (2018), Towards the automated identification of Chrysomya blow flies from wing images. Med Vet Entomol. . doi:10.1111/mve.12302en
dc.identifier.issn0269-283Xen_US
dc.identifier.doi10.1111/mve.12302en_US
dc.identifier.urihttp://hdl.handle.net/10141/622377-
dc.rightsopenAccessen
dc.titleTowards the automated identification of Chrysomya blow flies from wing imagesen_US
dc.typeJournal Article-
dc.identifier.journalMedical and Veterinary Entomologyen_US
pubs.organisational-group/Natural History Museum-
pubs.organisational-group/Natural History Museum/Science Group-
pubs.organisational-group/Natural History Museum/Science Group/Functional groups-
pubs.organisational-group/Natural History Museum/Science Group/Functional groups/Research-
pubs.organisational-group/Natural History Museum/Science Group/Functional groups/Research/LS Research-
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences-
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences/Parasites and Vectors-
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences/Parasites and Vectors/Parasites and Vectors - Research-
dc.embargoNot knownen_US
elements.import.authorMacleod, Nen_US
elements.import.authorHall, MJRen_US
elements.import.authorWardhana, AHen_US
dc.description.nhmThis is the pre-peer reviewed version of the following article: Macleod, N. , Hall, M. J. and Wardhana, A. H. (2018), Towards the automated identification of Chrysomya blow flies from wing images. Med Vet Entomol. . doi:10.1111/mve.12302, which has been published in final form at https://doi.org/10.1111/mve.12302. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.en
dc.subject.nhmChrysomya bezzianaen
dc.subject.nhmChrysomya megacephalaen
dc.subject.nhmChrysomya rufifaciesen
dc.subject.nhmCalliphoridaeen
dc.subject.nhmautomated identificationen
dc.subject.nhmbiogeographyen
dc.subject.nhmimage classificationen
dc.subject.nhmmorphometricsen
dc.subject.nhmOld World screwworm flyen
dc.subject.nhmsexual dimorphismen
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