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Edge computing-based computer vision and deep transfer learning for high-throughput assessment of Aspergillus flavus infection in crop seeds

Libin Wu Liangliang Zhu Haiyong Weng Guoping Chen Hongfei Liu Yande Liu Dapeng Ye

植物表型组学（英文）2026，Vol.8Issue(2)：1-12,12.

植物表型组学（英文）2026，Vol.8Issue(2)：1-12,12.DOI:10.1016/j.plaphe.2025.100110

Edge computing-based computer vision and deep transfer learning for high-throughput assessment of Aspergillus flavus infection in crop seeds

Libin Wu ¹Liangliang Zhu ²Haiyong Weng ³Guoping Chen ⁴Hongfei Liu ⁵Yande Liu ⁶Dapeng Ye³

作者信息

1. School of Mechanical and Automotive Engineering,Xiamen University of Technology,Xiamen,361000,PR China||Fujian Provincial Key Laboratory of Aptamer Technology,900th Hospital of the Joint Logistics Support Force,Fuzhou,350001,Fujian,PR China||Bioresource Engineering Department,McGill University,Montreal,QC,H9X3V9,Canada
2. College of Resources and Environment,Fujian Agriculture and Forestry University,Fuzhou,350002,PR China
3. College of Mechanical and Electrical Engineering,Fujian Agriculture and Forestry University,Fuzhou,350002,PR China
4. Economic Crops Station,Zhangzhou,363000,PR China
5. Aopu Tiancheng Optoelectronics Co.,Ltd.,Xiamen,361000,PR China
6. School of Mechanical and Automotive Engineering,Xiamen University of Technology,Xiamen,361000,PR China
折叠

摘要

关键词

Edge computing/Computer vision/Deep transfer learning/Aspergillus flavus/Crop seeds

Key words

Edge computing/Computer vision/Deep transfer learning/Aspergillus flavus/Crop seeds

引用本文复制引用

Libin Wu,Liangliang Zhu,Haiyong Weng,Guoping Chen,Hongfei Liu,Yande Liu,Dapeng Ye..Edge computing-based computer vision and deep transfer learning for high-throughput assessment of Aspergillus flavus infection in crop seeds[J].植物表型组学（英文）,2026,8(2):1-12,12.

基金项目

This work was supported by the National Key R&D Program Project,Research and Development of Intelligent and Efficient Processing Technology and Equipment for Vegetable Production Areas(2023YFD2001301).The authors thank the China Scholarship Council(CSC No.202408350068)for the financial support to the author(Libin Wu)to conduct her doctoral research in the Department of Bioresource Engineering at McGill University. （2023YFD2001301）

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