Prediction of tissue composition of live dairy calves and carcasses by computed tomography

Font-i-Furnols, M.; Terré, M.; Brun, A.; Vidal, Maria de Fátima; Bach, À.

doi:10.1016/j.livsci.2020.104371

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Cited by 6 publications

References 28 publications

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X‐Ray Computed Tomography Meets Robust Chemometric Latent Space Modeling for Lean Meat Percentage Prediction in Pig Carcasses

Mishra,

Font‐i‐Furnols

2024

Journal of Chemometrics

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This study presents a case of processing X‐ray computed tomography (CT) data for pork scans using chemometric latent space modeling. The distribution of voxel intensities is shown to exemplify a multivariate, multi‐collinear signal mixture. While this concept is not novel, it is revisited here from a chemometric perspective. To extract meaningful information from such multivariate signals, latent space modeling based on partial least squares (PLS) is an ideal solution. Furthermore, a robust PLS approach is even more effective for latent space modeling, as it can extract latent spaces unaffected by outliers, thereby enhancing predictive modeling. As an example, lean meat percentage is predicted using X‐ray CT data and robust PLS regression. This method is applicable to X‐ray CT quantification analysis, particularly in cases where unclear, erroneous, and outlying observations are suspected in the data.

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X‐Ray Computed Tomography Meets Robust Chemometric Latent Space Modeling for Lean Meat Percentage Prediction in Pig Carcasses

Mishra,

Font‐i‐Furnols

2024

Journal of Chemometrics

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Assessing Rabbit Body and Carcass Traits with Non-invasive and Non-destructive Image Techniques

Silva,

Donkó

2024

Veterinary Care of Farm Rabbits

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Modelling methane emissions from pig manure using statistical and machine learning methods

Basak

Arulmozhi

Moon

et al. 2022

Air Qual Atmos Health

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Prediction of tissue composition of live dairy calves and carcasses by computed tomography

Cited by 6 publications

References 28 publications

X‐Ray Computed Tomography Meets Robust Chemometric Latent Space Modeling for Lean Meat Percentage Prediction in Pig Carcasses

X‐Ray Computed Tomography Meets Robust Chemometric Latent Space Modeling for Lean Meat Percentage Prediction in Pig Carcasses

Assessing Rabbit Body and Carcass Traits with Non-invasive and Non-destructive Image Techniques

Modelling methane emissions from pig manure using statistical and machine learning methods

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