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Shaozhong Song

Showing results (1-10 of 11) with videos related to

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Frontiers in Plant Science|September 8, 2025
A sorghum seed variety identification method based on image-hyperspectral fusion and an improved deep residual convolutional networkXu Yang, Yihan Chen, Shaozhong Song, et al.
Frontiers in Plant Science|May 28, 2024
A maize seed variety identification method based on improving deep residual convolutional networkJian Li, Fan Xu, Shaozhong Song, et al.
Plos One|January 6, 2026
Mung bean seed classification based on multimodal features and Kepler-optimized stacking ensemble learning modelShaozhong Song, Fengwei Leng, Ming Fang, et al.
Plos One|September 4, 2024
Classification of soybean seeds based on RGB reconstruction of hyperspectral imagesXu Yang, Kejia Ma, Dejia Zhang, et al.
Frontiers in Plant Science|December 24, 2025
Real-time segmentation and phenotypic analysis of rice seeds using YOLOv11-LA and RiceLCNNDejia Zhang, Shaozhong Song, Jia Liu, et al.
Frontiers in Plant Science|February 28, 2025
Rapid and accurate classification of mung bean seeds based on HPMobileNetShaozhong Song, Zhenyang Chen, Helong Yu, et al.
Frontiers in Plant Science|February 4, 2025
Rapid and non-destructive classification of rice seeds with different flavors: an approach based on HPFasterNetHelong Yu, Zhenyang Chen, Shaozhong Song, et al.
Plants (Basel, Switzerland)|January 11, 2025
Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine LearningChunguang Bi, Xinhua Bi, Jinjing Liu, et al.
Frontiers in Plant Science|January 30, 2026
ORBMO-RF: a non-destructive classification method for ginseng seeds based on multimodal fusion and improved red-billed blue magpie optimization algorithmMingxuan Xue, Yanan Zhu, Bin Liu, et al.
Frontiers in Plant Science|March 24, 2025
Identification of maize kernel varieties based on interpretable ensemble algorithmsChunguang Bi, Xinhua Bi, Jinjing Liu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Plant Science|September 8, 2025
A sorghum seed variety identification method based on image-hyperspectral fusion and an improved deep residual convolutional networkXu Yang, Yihan Chen, Shaozhong Song, et al.
Frontiers in Plant Science|May 28, 2024
A maize seed variety identification method based on improving deep residual convolutional networkJian Li, Fan Xu, Shaozhong Song, et al.
Plos One|January 6, 2026
Mung bean seed classification based on multimodal features and Kepler-optimized stacking ensemble learning modelShaozhong Song, Fengwei Leng, Ming Fang, et al.
Plos One|September 4, 2024
Classification of soybean seeds based on RGB reconstruction of hyperspectral imagesXu Yang, Kejia Ma, Dejia Zhang, et al.
Frontiers in Plant Science|December 24, 2025
Real-time segmentation and phenotypic analysis of rice seeds using YOLOv11-LA and RiceLCNNDejia Zhang, Shaozhong Song, Jia Liu, et al.
Frontiers in Plant Science|February 28, 2025
Rapid and accurate classification of mung bean seeds based on HPMobileNetShaozhong Song, Zhenyang Chen, Helong Yu, et al.
Frontiers in Plant Science|February 4, 2025
Rapid and non-destructive classification of rice seeds with different flavors: an approach based on HPFasterNetHelong Yu, Zhenyang Chen, Shaozhong Song, et al.
Plants (Basel, Switzerland)|January 11, 2025
Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine LearningChunguang Bi, Xinhua Bi, Jinjing Liu, et al.
Frontiers in Plant Science|January 30, 2026
ORBMO-RF: a non-destructive classification method for ginseng seeds based on multimodal fusion and improved red-billed blue magpie optimization algorithmMingxuan Xue, Yanan Zhu, Bin Liu, et al.
Frontiers in Plant Science|March 24, 2025
Identification of maize kernel varieties based on interpretable ensemble algorithmsChunguang Bi, Xinhua Bi, Jinjing Liu, et al.
Pageof 2