Combination of computer vision and backscattering imaging for predicting the moisture content and colour changes of sweet potato (Ipomoea batatas L.) during drying

• المؤلفون الرئيسيون: Hashim, Norhashila, Abdan, Khalina, Janius, Rimfiel, Iroemeha, Onwude Daniel, Chen, Guangnan
• التنسيق: مقال
• اللغة: English
• منشور في: Elsevier 2018
• الوصول للمادة أونلاين: http://psasir.upm.edu.my/id/eprint/73437/1/DRYING.pdf; http://psasir.upm.edu.my/id/eprint/73437/; https://www.sciencedirect.com/science/article/pii/S0168169917312486?via%3Dihub

This study seeks to investigate the potential of using combined computer vision (CV) and laser-induced backscattering imaging (LLBI) in monitoring the quality attributes of sweet potato during drying. CV and backscattered images of 4 mm thickness sweet potato slices were captured after every one-hou...