The potential of computer vision, optical backscattering parameters and artificial neural network modelling in monitoring the shrinkage of sweet potato (Ipomoea batatas L.) during drying.

Daniel Iroemeha OnwudeNorhashila HashimKhalina AbdanRimfiel JaniusGuangnan Chen

Published in: Journal of the science of food and agriculture (2017)

Combined computer vision, laser light backscattering imaging and artificial neural network can be used as a non-destructive, rapid and easily adaptable technique for in-line monitoring, predicting and controlling the shrinkage and moisture changes of food and agricultural crops during drying. © 2017 Society of Chemical Industry.

Keyphrases

neural network
high resolution
human health
deep learning
risk assessment
high speed
climate change
heavy metals
machine learning
photodynamic therapy