Computer vision-based smart monitoring and control system for food drying: A study on carrot slices.
Comput. Electron. Agric.(2023)
摘要
Convective dryer embedded with computer vision (CV) system and load cell was used to continuously monitor carrot slices that are either unblanched or blanched (90 degrees C for 2 min) during product drying (35 degrees C, 35 % R.H., 3 m s-1 airflow). The CV system and load cell were selected as in-line Process Analytical Technology tools within a proactive Quality-by-Design framework and embedded for, i) monitoring of product features (i.e., weight, colour, and size); and ii) developing shrinkage-dependent moisture prediction models using linear regression. The evaluated shrinkage-dependent linear models showed superior performances (RMSE, 0.005-0.007) benchmarked against selected thin-layer models of increasing complexity. The study tested a smart-enabled prototype dryer with the potential for automation and integrating proactive quality strategies.
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关键词
Process analytical technology,Quality -by -design,Computer vision,Segmented -linear model
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