Identification of pummelo cultivars by using Vis/NIR spectra and pattern recognition methods

Vis/NIR spectroscopy was used in combination with pattern recognition methods to identify cultivars of pummelo (Citrus grandis (L.) Osbeck). A total of 240 leaf samples, 60 for each of the four cultivars were analyzed by Vis/NIR spectroscopy. Soft independent modeling of class analogy (SIMCA), parti...

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Veröffentlicht in:	Precision agriculture 2016-06, Vol.17 (3), p.365-374
Hauptverfasser:	Li, Xun-lan, Shi-lai Yi, Shao-lan He, Qiang Lv, Rang-jin Xie, Yong-qiang Zheng, Lie Deng
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Agronomy Analysis Atmospheric Sciences Back propagation Biomedical and Life Sciences Calibration Chemistry and Earth Sciences Citrus maxima Computer Science Cultivars Discriminant analysis Fruits least squares Leaves Life Sciences Methods near-infrared spectroscopy Neural networks Pattern recognition Physics Precision farming principal component analysis Principal components analysis pummelos Remote Sensing/Photogrammetry Software Soil Science & Conservation spectral analysis Spectroscopy Spectrum analysis Statistics for Engineering Studies Support vector machines
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