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Xplainable Rtificial Ntelligence Techniques For Interpretation of Food Datasets A Review by im5610969 is a document available to read on EtoBox.

This document reviews the application of eXplainable Artificial Intelligence (XAI) techniques in food engineering, emphasizing their importance for ensuring the reliability and transparency of AI models used in food quality analysis. It presents a taxonomy for classifying research in this area, highlights various data types and AI methods, and discusses the challenges and opportunities for adopting XAI in food quality control. The survey aims to guide researchers and practitioners in selecting appropriate X

Author

im5610969

Language

EN