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

• Main Authors: Daniel Iroemeha Chikwendu, Onwude, Hashim, Norhashila, Abdan, Khalina, Janius, Rimfiel, Chen, Guangnan
• Format: Article
• Language: English
• Published: Society of Chemical Industry 2018
• Online Access: http://psasir.upm.edu.my/id/eprint/74242/1/The%20potential%20of%20computer%20vision%2C%20optical%20backscattering%20parameters%20and%20artificial%20neural%20network%20modelling%20in%20monitoring%20the%20shrinkage%20of%20sweet%20potato%20%28Ipomoea%20Batatas%20L.%29%20during%20drying.pdf; http://psasir.upm.edu.my/id/eprint/74242/; https://onlinelibrary.wiley.com/doi/abs/10.1002/jsfa.8595

Background: Drying is a method used to preserve agricultural crops. During the drying of products with high moisture content, structural changes in shape, volume, area, density and porosity occur. These changes could affect the final quality of dried product and also the effective design of drying e...