Application of multispectral imaging to determine quality attributes and ripeness stage in strawberry fruit

PLoS ONE

Volumn 9, Issue 2, 2014, Pages

  Liu, Changhong ^a   Liu, Wei ^b   Lu, Xuzhong ^c   Ma, Fei ^a   Chen, Wei ^a   Yang, Jianbo ^c   Zheng, Lei ^a  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b HEFEI UNIVERSITY   (China)

^c RICE RESEARCH INSTITUTE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION NEURAL NETWORK; CALIBRATION; CLASSIFICATION; CORRELATION COEFFICIENT; FRUIT RIPENING; IMAGING; KERNEL METHOD; MULTISPECTRAL IMAGING; NONHUMAN; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; SOLID; STRAWBERRY; SUPPORT VECTOR MACHINE; CHEMISTRY; FOOD CONTROL; FOOD QUALITY; FRAGARIA; FRUIT; HUMAN; PROCEDURES; STANDARDS;

FOOD INSPECTION; FOOD QUALITY; FRAGARIA; FRUIT; HUMANS;

EID: 84895125141     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0087818     Document Type: Article

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