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Machine Learning in Food Drying by brijgoyal7000 is a document available to read on EtoBox.

The document discusses the application of machine learning (ML) approaches in food drying, highlighting the opportunities and challenges in advancing drying technology. It emphasizes the need for significant scientific research to develop ML-based algorithms for modeling, property prediction, and process optimization in food drying. The paper aims to provide a comprehensive review of various ML strategies and their potential to enhance food drying processes while addressing existing gaps in the literature.

Author
brijgoyal7000
Language
EN