Real-time monitoring system for quality monitoring of jujube slice during drying process

The real-time monitoring and prediction system for quality attributes of jujube slices during the drying process was designed to solve problem destructive inconvenient traditional detection method realize online monitoring. Firstly, machine vision automatic weighing were employed monitor color moisture content changes in real-time. Secondly, correlation models between parameter (a* value) nutritional (vitamin C, reducing sugar) established predict vitamin C sugar process. Finally, upper computer software integrated based on LABVIEW virtual instrument, tested validated. Results showed that: changing trends (L*, a*, b* values) monitored by basically same as results detected difference meter, average errors L*, values 0.93, 0.52, 0.73, respectively. relative error manual static 0.18%. 50 mg/100 g dry basis 0.71g/100 basis, current work can provide a useful reference fruits vegetables Keywords: slice, attributes, real-time, system, DOI: 10.25165/j.ijabe.20221503.5772 Citation: Cao Y X, Yao X D, Zang Z, Niu B, Xiao H W, Liu H, et al. Real-time slice Int J Agric & Biol Eng, 2022; 15(3): 234–241.