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Predicting some quality attributes of lamb muscles by NIR hyperspectral imaging
Mohammed Kamruzzaman
, Gamal Elmasry
, Da Wen Sun
, Paul Allen
Research output
:
Contribution to conference
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Paper
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peer-review
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Dive into the research topics of 'Predicting some quality attributes of lamb muscles by NIR hyperspectral imaging'. Together they form a unique fingerprint.
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Keyphrases
Water Holding Capacity
100%
Quality Attributes
100%
Lamb muscle
100%
Near-infrared Hyperspectral Imaging (NIR-HSI)
100%
Hyperspectral Imaging
66%
Hyperspectral
33%
Spectral Range
33%
Non-invasive Method
33%
Reflectance Spectra
33%
Lamb
33%
L-values
33%
Coefficient of Determination
33%
Blackface
33%
Partial Least Squares Regression Model
33%
Suffolk
33%
Semitendinosus
33%
Longissimus Dorsi
33%
Semimembranosus
33%
Capacity Value
33%
Charollais
33%
NIR Reflectance
33%
Pushbroom
33%
Hyperspectral Reflectance Imaging
33%
Agricultural and Biological Sciences
Water Holding Capacity
100%
Lamb
100%
Breed
33%
Least Square
33%
Food Science
Water Holding Capacity
100%
Quality Attribute
100%
L-values
33%
Capacity Value
33%
Veterinary Science and Veterinary Medicine
Muscle
100%
Lamb
100%
Longissimus
25%