Application of thermal imaging combined with machine learning for detecting the deterioration of the cassava root

Application of thermal imaging combined with machine learning for detecting the deterioration of the cassava root

Freshness is an important parameter that is indexed in the quality assessment of commercial cassava tubers. Cassava tubers that are not fresh have reduced starch content. Therefore, in this study, we aimed to develop a new approach to detect cassava root deterioration levels using thermal imaging wi...

Full description

Bibliographic Details
Main Authors: Jetsada Posom, Chutatip Duangpila, Khwantri Saengprachatanarug, Seree Wongpichet, Jiraporn Onmankhong
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Heliyon
Subjects:
Cassava root
Thermal imaging
Machine learning
Deterioration levels
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023077678

Similar Items

Similar Items