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Updated: Jan 15, 2026

Fruit Volatile Analysis Using an Electronic Nose
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多任务NoisyViT用于增强水果和蔬菜新鲜度检测和类型分类

Siavash Esfandiari Fard1, Tonmoy Ghosh1, Edward Sazonov1

  • 1Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35401, USA.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

一个新的多任务噪音视觉变压器 (NoisyViT) 模型使用图像准确地检测水果和蔬菜的新鲜度. 这种人工智能方法为供应链和零售业的自动化质量评估提供了可扩展的解决方案.

关键词:
计算机视觉 计算机视觉水果和蔬菜新鲜度检测仪果实新鲜度检测仪检测水果的新鲜度多任务学习是多任务学习.个人医疗保健个人医疗保健基于传感器的分类基于传感器的分类.视觉变压器 视觉变压器

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