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Table 1 Applications of hyperspectral imaging in maize seed variety classification tasks

From: A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning

Number of cultivars

Varieties

Application

Result (%)

References

4 normal maize hybrids

Hangyunuo No.1, Suyunuo 14, Huyunuo No.1, and Yanhejin 2000

Variety identification

98.2

Yang et al. [36]

17 normal maize hybrids

BNA 07, SNN 12, Bositian 8, Gumang 178, Huayu 11, Jizaojinxiangnuo, Jinnuowang, Jinsaitian, Jingketian 195, Lianyu 16, Nongda 108, Sida 205, Wannuo 11, Xiangtiannianyumi, Yudan 998, Zhendan 958, and Zhongnongdatian 413

Variety identification

99.13

Xia et al. [37]

3 normal maize hybrids

Nonghua 213, Yinyu 274, and Yinyu 439

Variety identification

76.25

Shao et al. [38]

4 common maize varieties and 4 silage maize varieties

Datian 387, Quchen 8, Quchen 11, and Quchen 13; Quchen9, Quchen19, Quchen29, and Quchen513

Variety identification

~ 98

Bai et al. [26]