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Forage Identification and Experimental Materials

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Computer Vision based Identification and Mosaic of Gramineous Grass Seeds

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Abstract

The classical plant classification is mainly based on the external morphology of plants, taking advantages of simple observation tools, the experts analyze and compare plants indoors or in the field for their similarity and variability.

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Authors and Affiliations

  1. College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    Xin Pan

  2. Inner Mongolia Agricultural University, Inner Mongolia, China

    Xuanhe Zhao

  3. Grassland Research Institute, Chinese Academy of Agricultural Sciences, Inner Mongolia, China

    Weihong Yan

  4. College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    Jiangping Liu

  5. Inner Mongolia Agricultural University, Inner Mongolia, China

    Xiaoling Luo

  6. College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Inner Mongolia, China

    Tana Wuyun

Authors
  1. Xin Pan
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  2. Xuanhe Zhao
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  3. Weihong Yan
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  4. Jiangping Liu
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  5. Xiaoling Luo
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  6. Tana Wuyun
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Corresponding author

Correspondence to Xin Pan .

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Pan, X., Zhao, X., Yan, W., Liu, J., Luo, X., Wuyun, T. (2021). Forage Identification and Experimental Materials. In: Computer Vision based Identification and Mosaic of Gramineous Grass Seeds. Springer, Singapore. https://doi.org/10.1007/978-981-16-3501-4_2

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