Design, development and evaluation of an online grading system for peeled pistachios equipped with machine vision technology and support vector machine
In this study, an intelligent system based on combined machine vision (MV) and Support Vector Machine (SVM) was developed for sorting of peeled pistachio kernels and shells. The system was composed of conveyor belt, lighting box, camera, processing unit and sorting unit. A color CCD camera was used...
Main Authors: | Hosein Nouri-Ahmadabadi, Mahmoud Omid, Seyed Saeid Mohtasebi, Mahmoud Soltani Firouz |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-12-01
|
Series: | Information Processing in Agriculture |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317316300117 |
Similar Items
-
Development of an online Nigella sativa inspection system equipped with machine vision technology and artificial neural networks
by: Saman ALVANDI, et al.
Published: (2023-05-01) -
A machine vision-intelligent modelling based technique for in-line bell pepper sorting
by: Khaled Mohi-Alden, et al.
Published: (2023-12-01) -
Dielectric technique combined with artificial neural network and support vector regression in moisture content prediction of olive
by: Mahdi Rashvand, et al.
Published: (2020-03-01) -
Condition Monitoring of Substation Equipment Based on Machine Vision
by: Yiyao Wang
Published: (2022-05-01) -
Dielectric spectroscopy coupled with artificial neural network for classification and quantification of sesame oil adulteration
by: Mahmoud Soltani Firouz, et al.
Published: (2022-06-01)