Multi-objective RGB-D fusion network for non-destructive strawberry trait assessment

Growing consumer demand for high-quality strawberries has highlighted the need for accurate, efficient, and non-destructive methods to assess key postharvest quality traits, such as weight, size uniformity, and quantity. This study proposes a multi-objective learning algorithm that leverages RGB-D m...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Frontiers in Plant Science
المؤلفون الرئيسيون: Zhenzhen Cheng, Yifan Cheng, Bailing Miao, Tingting Fang, Shoufu Gong
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Frontiers Media S.A. 2025-03-01
الموضوعات:
strawberry quality
fruit traits estimation
computer vision
deep learning
RGB-D modality fusion
الوصول للمادة أونلاين:https://www.frontiersin.org/articles/10.3389/fpls.2025.1564301/full

الانترنت

https://www.frontiersin.org/articles/10.3389/fpls.2025.1564301/full

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