An automatic and non-intrusive hybrid computer vision system for the estimation of peel thickness in Thomson orange

An automatic and non-intrusive hybrid computer vision system for the estimation of peel thickness in Thomson orange

Orange peel has important flavor and nutrition properties and is often used for making jam and oil in the food industry. For previous reasons, oranges with high peel thickness are valuable. In order to properly estimate peel thickness in Thomson orange fruit, based on a number of relevant image feat...

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Bibliographic Details
Main Authors: Hossein Javadikia, Sajad Sabzi, Juan I. Arribas
Format: Article
Language:English
Published: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria 2019-01-01
Series:Spanish Journal of Agricultural Research
Subjects:
machine learning
neural network
particle swarm optimization
stochastic analysis
peel thickness, skin
Online Access:http://revistas.inia.es/index.php/sjar/article/view/11185

Internet

http://revistas.inia.es/index.php/sjar/article/view/11185

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