African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6861

Full Length Research Paper

Bayesian discriminant analysis of plant leaf hyperspectral reflectance for identification of weeds from cabbages

Wei Deng
  • Wei Deng
  • Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China.
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Yanbo Huang
  • Yanbo Huang
  • United States Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, Stoneville, Mississippi, USA.
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Chunjiang Zhao
  • Chunjiang Zhao
  • Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China.
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Liping Chen
  • Liping Chen
  • Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China.
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Xiu Wang
  • Xiu Wang
  • Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China.
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  •  Received: 16 September 2015
  •  Accepted: 19 January 2016
  •  Published: 18 February 2016

How to cite this article

APA /
Deng, W., Huang, Y., Zhao, C., Chen, L., & Wang, X. (2016). Bayesian discriminant analysis of plant leaf hyperspectral reflectance for identification of weeds from cabbages. African Journal of Agricultural Research, 11(7), 551-562.
Chicago /
Wei Deng,, Yanbo Huang, Chunjiang Zhao,, Liping Chen,, and Xiu Wang,,. "Bayesian discriminant analysis of plant leaf hyperspectral reflectance for identification of weeds from cabbages." African Journal of Agricultural Research 11, no. 7 (2016): 551-562.
MLA /
Wei Deng, et al. "Bayesian discriminant analysis of plant leaf hyperspectral reflectance for identification of weeds from cabbages." African Journal of Agricultural Research 11.7 (2016): 551-562.
DOI /
https://doi.org/10.5897/AJAR2015.10395
URL /
https://ftp.academicjournals.org/journal/AJAR/article-abstract/489AF5457264

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This article is published under the terms of the Creative Commons Attribution License 4.0

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