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Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
A new study highlights the potential of privacy-preserving ordinal-meta learning using Vision Language Models (VLMs) like Gemini to predict the quality of perishable fruits. This approach addresses the challenge of limited data availability for fine-grained freshness labels, which are essential for reducing food waste. By leveraging advanced deep learning techniques, this method not only enhances the accuracy of freshness predictions but also promotes sustainable practices in fruit management, making it a significant advancement in the field.
— Curated by the World Pulse Now AI Editorial System
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