Treffer: Advances in Soft Sensors for Smart Food Drying: Innovations, Challenges, and Industrial Perspectives.

Efficient real‐time monitoring of directly unmeasurable variables, such as product moisture content and quality attributes, is crucial for optimizing process control in smart dryers. Advanced soft sensing techniques, which integrate analytical hardware with mathematical models, have enabled the development of intelligent drying systems. This review comprehensively evaluates applications of soft sensors for online monitoring in food drying, emphasizing performance characteristics such as accuracy, response time, and robustness for real‐time control. Key obstacles, including data contamination, model selection, and adaptability, are examined, and emerging solutions like adaptive algorithms and hybrid modeling strategies are discussed. The review highlights how soft sensors contribute to improved drying efficiency, energy savings, and product quality retention. Broader implications for related industries are also considered. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Food Process Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)