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Updated: Sep 8, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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農業原産物の新鮮度評価におけるディープラーニングの活用:体系的なレビュー

Yifan Kang1, Yijie Li1, Hanyu Wang1

  • 1College of Food and Bioengineering, Zhengzhou University of Light Industry, Zhengzhou, China.

Journal of food science
|September 7, 2025
PubMed
まとめ

機械視覚,スペクトロスコーピー,電子鼻と統合された ディープラーニングは 農産物の新鮮さを迅速かつ正確に 評価するためのソリューションを提供します このインテリジェントなアプローチは 伝統的な方法の限界を克服し 食品の安全性と品質を保証します

キーワード:
ディープラーニング電子鼻農業原産物の新鮮さマシンビジョンスペクトロスコーピー

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