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Method for the detection and classification of quinoa seeds via computer vision

Xiangle Meng Huali Yu Wei Lyu Xiaoshun Zhao Chuan Lu Zhimin Wei Yueyou Li

International Journal of Agricultural and Biological Engineering2026，Vol.19Issue(2)：P.303-309,7.

International Journal of Agricultural and Biological Engineering2026，Vol.19Issue(2)：P.303-309,7.DOI:10.25165/j.ijabe.20261902.10460

Method for the detection and classification of quinoa seeds via computer vision

Xiangle Meng ¹Huali Yu ¹Wei Lyu ²Xiaoshun Zhao ¹Chuan Lu ²Zhimin Wei ³Yueyou Li²

作者信息

1. College of Mechanical and Electrical Engineering,Hebei Agricultural University,Baoding 071001,Hebei,China
2. The Science and Technology Innovation Service Center of Hebei Province,Shijiazhuang 050035,China
3. Institute of Millet Crops,Hebei Academy of Agriculture and Forestry Sciences,Shijiazhuang 050035,China
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摘要

关键词

quinoa seeds/convolutional neural network/VGG16/ResNet50/MobileNet/ViT

分类

农业科技

引用本文复制引用

Xiangle Meng,Huali Yu,Wei Lyu,Xiaoshun Zhao,Chuan Lu,Zhimin Wei,Yueyou Li..Method for the detection and classification of quinoa seeds via computer vision[J].International Journal of Agricultural and Biological Engineering,2026,19(2):P.303-309,7.

基金项目

supported by Key R&D Program of Hebei(21326305D) （21326305D）

Local Science and Technology Development Fund Projects Guided by the Central Government(236Z7202G) （236Z7202G）

Zhangjiakou Significant Scientific and Technical Achievement Transformation Project(2311012Hc). （2311012Hc）

International Journal of Agricultural and Biological Engineering

ISSN：1934-6344

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