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DAFFnet:Seed classification of soybean variety based on dual attention feature fusion networks

Lingyu Zhang Laijun Sun Xiuliang Jin Xiangguang Zhao Shujia Li

The Crop Journal2025，Vol.13Issue(2)：P.619-629,11.

The Crop Journal2025，Vol.13Issue(2)：P.619-629,11.DOI:10.1016/j.cj.2024.12.023

DAFFnet:Seed classification of soybean variety based on dual attention feature fusion networks

Lingyu Zhang ¹Laijun Sun ¹Xiuliang Jin ²Xiangguang Zhao ³Shujia Li¹

作者信息

1. College of Electronics Engineering,Heilongjiang University,Harbin 150006,Heilongjiang,China
2. Key Laboratory of Crop Physiology and Ecology,Institute of Crop Sciences,Chinese Academy of Agricultural Sciences,Ministry of Agriculture,Beijing 100081,China
3. State Key Laboratory of Crop Gene Resources and Breeding,Institute of Crop Sciences,Chinese Academy of Agricultural Sciences,Beijing 100081,China
折叠

摘要

关键词

Soybean seed/Classification/Deep learning/Neural networks/Attention mechanisms

分类

农业科技

引用本文复制引用

Lingyu Zhang,Laijun Sun,Xiuliang Jin,Xiangguang Zhao,Shujia Li..DAFFnet:Seed classification of soybean variety based on dual attention feature fusion networks[J].The Crop Journal,2025,13(2):P.619-629,11.

基金项目

supported by Natural Science Foundation of Heilongjiang Province of China(SS2021C005) （SS2021C005）

Province Key Research and Development Program of Heilongjiang Province of China(GZ20220121) （GZ20220121）

the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences （）

guided and assisted by researchers from the School of Modern Agriculture and Ecological Environment,Heilongjiang University. （）

The Crop Journal

ISSN：2095-5421

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