A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties

A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties

Since different varieties of crops have specific applications, it is therefore important to properly identify each cultivar, in order to avoid fake varieties being sold as genuine, i.e., fraud. Despite that properly trained human experts might accurately identify and classify crop varieties, compute...

Full description

Bibliographic Details
Main Authors: Razieh Pourdarbani, Sajad Sabzi, Davood Kalantari, José Luis Hernández-Hernández, Juan Ignacio Arribas
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Foods
Subjects:
<i>cicer arietinum</i> l.
chickpea
classification
computer vision
feature selection
hybrid ann
image processing
legume
machine learning
majority voting
segmentation
Online Access:https://www.mdpi.com/2304-8158/9/2/113

Internet

https://www.mdpi.com/2304-8158/9/2/113

Similar Items