Reflected Light Spectrometry and AI-Based Data Analysis for Detection  of Rapid Chicken Eggshell Change Caused by Mycoplasma synoviae

Applied Sciences

dc.contributor.author	Pakuła, Anna
dc.contributor.author	Paśko, Sławomir
dc.contributor.author	Kursa, Olimpia
dc.contributor.author	Komar, Robert
dc.date.accessioned	2021-08-25T10:08:27Z
dc.date.available	2021-08-25T10:08:27Z
dc.date.issued	2021
dc.identifier	https://dspace.piwet.pulawy.pl/xmlui/handle/123456789/92
dc.identifier.issn	2076-3417
dc.identifier.uri	https://www.mdpi.com/2076-3417/11/17/7799/htm
dc.description.abstract	Mycoplasma synoviae (MS) is a pathogen that causes economic losses in the poultry industry. It can be transmitted, amongst others, via the respiratory tract and spread relatively quickly. As such, MS infections are mainly controlled by maintaining MS-free breeder flocks. Routine diagnosis for the detection of MS may be based on serological,	en_US
dc.language.iso	en	en_US
dc.publisher	MDPI
dc.subject	machine learning	en_US
dc.subject	spectral analysis	en_US
dc.subject	classification methods	en_US
dc.title	Reflected Light Spectrometry and AI-Based Data Analysis for Detection of Rapid Chicken Eggshell Change Caused by Mycoplasma synoviae	en_US
dc.type	Article	en_US
dcterms.bibliographicCitation	2021 vol. 11 nr 17 s. 7799
dcterms.title	Applied Sciences
dc.identifier.doi	10.3390/app11177799

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