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Automated soybean quality detection system using deep learning
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DOI：10.1016/j.atech.2025.101473.png)
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摘要
En 中文
• 已设计一种大豆籽粒收获质量检测装置。
• 高效获取高质量图像数据集。
• 精确计算大豆的杂质率和破碎率。
• 改进后的scSE-UNet模型能够准确分割大豆和杂质。
• 集成水分含量分析，可动态校正大豆中杂质率和破碎率预测值。
Keyword:
Image segmentation
Soybean
Impurity rate
Crushing rate
Deep learning
Real-time detection
AI总结
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IF:
5.7
论文数:
2.6K
被引数:
2.5K
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引用论文
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