Przeglądaj według tematu "machine learning"

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AI Classification of Eggs’ Origin from Mycoplasma synoviae-Infected or Non-Infected Poultry via Analysis of the Spectral Response

Pakuła, A.; Paśko, S.; Marć, P.; Kursa, O.; Jaroszewicz, L. (MDPI, 2023)

Rapid detection of Mycoplasma synoviae (MS) in a flock is crucial from the perspective of animals’ health and economic income. MS are highly contagious bacteria that can cause significantlosses in commercial poultry ...
Multispectral portable fibre-optic reflectometer for the classification of the origin of chicken eggshells in the case of mycoplasma synoviae Infections

Pakuła A.; Żołnowski W.; Paśko S.; Kursa O.; Marć P.; Jaroszewicz R.L. (MDPI, 2022)

The proper classification of the origins of food products is a crucial issue all over the world nowadays. In this paper, the authors present a device—a multispectral portable fibre-optic reflectometer and signal processing ...
Reflected Light Spectrometry and AI-Based Data Analysis for Detection of Rapid Chicken Eggshell Change Caused by Mycoplasma synoviae

Pakuła, Anna; Paśko, Sławomir; Kursa, Olimpia; Komar, Robert (MDPI, 2021)

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 ...