Rapeseed Seed Coat Color Classification Based on the Visibility Graph Algorithm and Hyperspectral Technique

Information technology and statistical modeling have made significant contributions to smart agriculture. Machine vision and hyperspectral technologies, with their non-destructive and real-time capabilities, have been extensively utilized in the non-destructive diagnosis and quality monitoring of cr...

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Veröffentlicht in:	Agronomy (Basel) Jg. 14; H. 5; S. 941
Hauptverfasser:	Zou, Chaojun, Zhu, Xinghui, Wang, Fang, Wu, Jinran, Wang, You-Gan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.05.2024
Schlagworte:	Agriculture agronomy Algorithms Calibration Chlorophyll Classification Color color classification Coloration computer vision Depth perception Diagnosis Digital agriculture Fatty acids Feature extraction Fourier transforms hyperspectral imagery hyperspectral reflectance Information technology Machine learning Machine vision Mathematical models Methods Proteins Quality control Rape plants Rapeseed Reflectance seed coat seed color Seeds Software Spectral reflectance Spectrum analysis Statistical analysis Statistical models Technology assessment Traditional farming vector-square distance Visibility visibility graph algorithm Vision systems Visual perception Germany
ISSN:	2073-4395, 2073-4395
Online-Zugang:	Volltext
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