Nondestructive detection of chilled mutton freshness based on multi-label information fusion and adaptive BP neural network
Computers and Electronics in Agriculture(2018)
Abstract
•Introducing multi-label learning theory into nondestructive detection of meat food.•Proposing the multi-indicator correlation maximization spectral feature extraction algorithm.•Proposing an adaptive BP neural network algorithm to establish a Calibration Model for chilled mutton freshness evaluation.
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Key words
Hyperspectral imaging,Chilled mutton,Multiple indicators,Correlation maximization,Freshness,Nondestructive detection
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