物事のインターネットと人工知能を通じて,冷連鎖における食品の安全性の向上
Wagner Augusto Müller1,2, Sandro Binsfeld Ferreira1,2,3, Suse Botelho da Silva1,2
1Coldtag Tecnologia da Informação LTDA, São Leopoldo, Brazil.
Journal of food science
|February 17, 2026
まとめ
物事のインターネット (IoT) と人工知能 (AI) を統合することで,食品冷却チェーン管理が強化されます. この連携により,リアルタイムモニタリングと予測分析が可能になり,食品の安全性とサプライチェーンの回復力を向上させています.
科学分野:
- 食品科学 食品科学について
- サプライチェーンマネジメント (サプライチェーンマネジメント)
- コンピュータサイエンス コンピュータサイエンス
背景:
- 従来の冷凍連鎖モニタリングは反応性があり,断片化されており,食品の安全性に対するリスクをもたらします.
- IoTやAIなどの産業4.0技術は,リアルタイムトラッキングと予測分析の可能性を秘めています.
- 既存の文献は,統合された視点が欠け,孤立したIoTやAIアプリケーションに焦点を当てていることが多い.
研究 の 目的:
- 食品冷凍チェーンにおけるIoTとAIの統合アプリケーションをレビューし,統合する.
- IoT対応のデータ取得とAI駆動の予測分析の相乗効果の可能性を検証する.
- 食品安全と冷却連鎖の持続可能性の向上のための包括的なリソースを提供すること.
主な方法:
- PRISMAのガイドラインに従って97件のピアレビュー論文 (2010-2025) の体系的なレビュー.
- IoTセンサーアプリケーション,AIアルゴリズム,および食品冷却サプライチェーンへの統合の分析.
- トレンド,限界,将来の研究方向を特定する.
主要な成果:
- IoTとAIの採用の急速な成長は,透明性と品質に対する規制と消費者の要求によって引き起こされています.
- IoTセンサーは,安全リスクの早期発見のためのリアルタイムモニタリングを促進します.
- AIモデルは,予測分析のためのセンサーデータを処理し,物流を最適化し,損壊を軽減します.
結論:
- 統合されたIoTとAIシステムは,食品の安全性と冷却チェーン効率を大幅に向上させます.
- リアルタイムIoTデータに対するダイナミックなAI応答のためのクローズドループシステムに関するさらなる研究が必要である.
- このレビューは,より弾力的で,透明で,持続可能なコールドチェーンのためのIoTとAIシステムの選択をサポートします.
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