DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks
Rapid, accurate seed classification of soybean varieties is needed for product quality control. We describe a hyperspectral image-based deep-learning model called Dual Attention Feature Fusion Networks (DAFFnet), which sequentially applies 3D Convolutional Neural Network (CNN) and 2D CNN. A fusion a...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-04-01
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| Series: | Crop Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214514125000224 |
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| _version_ | 1849732099079143424 |
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| author | Lingyu Zhang Laijun Sun Xiuliang Jin Xiangguang Zhao Shujia Li |
| author_facet | Lingyu Zhang Laijun Sun Xiuliang Jin Xiangguang Zhao Shujia Li |
| author_sort | Lingyu Zhang |
| collection | DOAJ |
| description | Rapid, accurate seed classification of soybean varieties is needed for product quality control. We describe a hyperspectral image-based deep-learning model called Dual Attention Feature Fusion Networks (DAFFnet), which sequentially applies 3D Convolutional Neural Network (CNN) and 2D CNN. A fusion attention mechanism module in 2D CNN permits the model to capture local and global feature information by combining with Convolution Block Attention Module (CBAM) and Mobile Vision Transformer (MViT), outperforming conventional hyperspectral image classification models in seed classification. |
| format | Article |
| id | doaj-art-b02554c4454b4af69937449ea6747e4b |
| institution | DOAJ |
| issn | 2214-5141 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Crop Journal |
| spelling | doaj-art-b02554c4454b4af69937449ea6747e4b2025-08-20T03:08:20ZengKeAi Communications Co., Ltd.Crop Journal2214-51412025-04-0113261962910.1016/j.cj.2024.12.023DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networksLingyu Zhang0Laijun Sun1Xiuliang Jin2Xiangguang Zhao3Shujia Li4College of Electronics Engineering, Heilongjiang University, Harbin 150006, Heilongjiang, ChinaCollege of Electronics Engineering, Heilongjiang University, Harbin 150006, Heilongjiang, China; Corresponding authors.Key Laboratory of Crop Physiology and Ecology, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Ministry of Agriculture, Beijing 100081, China; Corresponding authors.State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaCollege of Electronics Engineering, Heilongjiang University, Harbin 150006, Heilongjiang, ChinaRapid, accurate seed classification of soybean varieties is needed for product quality control. We describe a hyperspectral image-based deep-learning model called Dual Attention Feature Fusion Networks (DAFFnet), which sequentially applies 3D Convolutional Neural Network (CNN) and 2D CNN. A fusion attention mechanism module in 2D CNN permits the model to capture local and global feature information by combining with Convolution Block Attention Module (CBAM) and Mobile Vision Transformer (MViT), outperforming conventional hyperspectral image classification models in seed classification.http://www.sciencedirect.com/science/article/pii/S2214514125000224Soybean seedClassificationDeep learningNeural networksAttention mechanisms |
| spellingShingle | Lingyu Zhang Laijun Sun Xiuliang Jin Xiangguang Zhao Shujia Li DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks Crop Journal Soybean seed Classification Deep learning Neural networks Attention mechanisms |
| title | DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks |
| title_full | DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks |
| title_fullStr | DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks |
| title_full_unstemmed | DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks |
| title_short | DAFFnet: Seed classification of soybean variety based on dual attention feature fusion networks |
| title_sort | daffnet seed classification of soybean variety based on dual attention feature fusion networks |
| topic | Soybean seed Classification Deep learning Neural networks Attention mechanisms |
| url | http://www.sciencedirect.com/science/article/pii/S2214514125000224 |
| work_keys_str_mv | AT lingyuzhang daffnetseedclassificationofsoybeanvarietybasedondualattentionfeaturefusionnetworks AT laijunsun daffnetseedclassificationofsoybeanvarietybasedondualattentionfeaturefusionnetworks AT xiuliangjin daffnetseedclassificationofsoybeanvarietybasedondualattentionfeaturefusionnetworks AT xiangguangzhao daffnetseedclassificationofsoybeanvarietybasedondualattentionfeaturefusionnetworks AT shujiali daffnetseedclassificationofsoybeanvarietybasedondualattentionfeaturefusionnetworks |