Optimized Detection Models for Wheat Black Tip Disease and Multiple Classification Results

WU Ting-ting; YU Ke-qiang; ZHANG Hai-hui; FENG Yi; ZHANG Xiao; WANG Hui-hui

doi:10.3964/j.issn.1000-0593(2018)12-3912-05

Journals >Spectroscopy and Spectral Analysis >Volume 38 >Issue 12 >Page 3912 > Article

Spectroscopy and Spectral Analysis
Vol. 38, Issue 12, 3912 (2018)

Optimized Detection Models for Wheat Black Tip Disease and Multiple Classification Results

WU Ting-ting^{1、2、3、*}, YU Ke-qiang^1、2、3, ZHANG Hai-hui^1、2、3, FENG Yi⁴, ZHANG Xiao¹, and WANG Hui-hui¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

⁴[in Chinese]

show less

DOI: 10.3964/j.issn.1000-0593(2018)12-3912-05 Cite this Article

WU Ting-ting, YU Ke-qiang, ZHANG Hai-hui, FENG Yi, ZHANG Xiao, WANG Hui-hui. Optimized Detection Models for Wheat Black Tip Disease and Multiple Classification Results[J]. Spectroscopy and Spectral Analysis, 2018, 38(12): 3912 Copy Citation Text

show less

References

[1] Fox G, Watson L, Kelly A, et al. Developing an NIRS Method for Assessing Black Point in Single Kernels of Malting Barley. Proceedings of the 2012 World Brewing Congress, Portland, OR, 2012.

[2] Delwiche S R, Yang I C, Graybosch R A. Computers & Electronics in Agriculture, 2013, 98(7): 62.

[3] Armstrong Paul R, Maghirang Elizabeth B, Pearson Tom C. Cereal Chemistry, 2015, 92(4): 358.

[4] USDA-GIPSA-FGIS. Qrain Inspection Handbook Ⅱ. USA: Federal Grain Inspection Service, 2014. 1325.

[6] Galvao R K, Araujo M C, Jose G E, et al. Talanta, 2005, 67(4): 736.

[7] ElMasry G, Sun D-W, Allen P. Food Research International, 2011, 44(9): 2624.

[9] Liu D, Sun D W, Zeng X A. Food & Bioprocess Technology, 2014, 7(2): 307.

Download Citation

Save the article for my favorites

Paper Information