An Accuracy Improvement Method Based on Multi-Source Information Fusion and Deep Learning for TSSC and Water Content Nondestructive Detection in “Luogang” Orange

The objective of this study was to find an efficient method for measuring the total soluble solid content (TSSC) and water content of “Luogang” orange. Quick, accurate, and nondestructive detection tools (VIS/NIR spectroscopy, NIR spectroscopy, machine vision, and electronic nose), four data process...

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Veröffentlicht in:	Electronics (Basel) 2021-01, Vol.10 (1), p.80
Hauptverfasser:	Xu, Sai, Lu, Huazhong, Ference, Christopher, Zhang, Qianqian
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Data integration Data processing Deep learning Electronic noses Food quality Fruits Genetic algorithms Machine learning Machine vision Measurement methods Modelling Moisture content Sensors Spectroscopy Spectrum analysis Vision systems
Online-Zugang:	Volltext
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