Cargando…

A Novel Method of Identifying Paddy Seed Varieties

This paper presents a novel method for identifying three varieties (Taikong 9, Tainan 11, and Taikong 14) of foundation paddy seeds. Taikong 9, Tainan 11, and Taikong 14 paddy seeds are indistinguishable by inspectors during seed purity inspections. The proposed method uses image segmentation and a...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Kuo-Yi, Chien, Mao-Chien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422170/
https://www.ncbi.nlm.nih.gov/pubmed/28397773
http://dx.doi.org/10.3390/s17040809
_version_ 1783234718614945792
author Huang, Kuo-Yi
Chien, Mao-Chien
author_facet Huang, Kuo-Yi
Chien, Mao-Chien
author_sort Huang, Kuo-Yi
collection PubMed
description This paper presents a novel method for identifying three varieties (Taikong 9, Tainan 11, and Taikong 14) of foundation paddy seeds. Taikong 9, Tainan 11, and Taikong 14 paddy seeds are indistinguishable by inspectors during seed purity inspections. The proposed method uses image segmentation and a key point identification algorithm that can segment paddy seed images and extract seed features. A back propagation neural network was used to establish a classifier based on seven features that could classify the three paddy seed varieties. The classification accuracies of the resultant classifier for varieties Taikong 9, Tainan 11, and Taikong 14 were 92.68%, 97.35% and 96.57%, respectively. The experimental results indicated that the three paddy seeds can be differentiated efficiently using the developed system.
format Online
Article
Text
id pubmed-5422170
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-54221702017-05-12 A Novel Method of Identifying Paddy Seed Varieties Huang, Kuo-Yi Chien, Mao-Chien Sensors (Basel) Article This paper presents a novel method for identifying three varieties (Taikong 9, Tainan 11, and Taikong 14) of foundation paddy seeds. Taikong 9, Tainan 11, and Taikong 14 paddy seeds are indistinguishable by inspectors during seed purity inspections. The proposed method uses image segmentation and a key point identification algorithm that can segment paddy seed images and extract seed features. A back propagation neural network was used to establish a classifier based on seven features that could classify the three paddy seed varieties. The classification accuracies of the resultant classifier for varieties Taikong 9, Tainan 11, and Taikong 14 were 92.68%, 97.35% and 96.57%, respectively. The experimental results indicated that the three paddy seeds can be differentiated efficiently using the developed system. MDPI 2017-04-09 /pmc/articles/PMC5422170/ /pubmed/28397773 http://dx.doi.org/10.3390/s17040809 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huang, Kuo-Yi
Chien, Mao-Chien
A Novel Method of Identifying Paddy Seed Varieties
title A Novel Method of Identifying Paddy Seed Varieties
title_full A Novel Method of Identifying Paddy Seed Varieties
title_fullStr A Novel Method of Identifying Paddy Seed Varieties
title_full_unstemmed A Novel Method of Identifying Paddy Seed Varieties
title_short A Novel Method of Identifying Paddy Seed Varieties
title_sort novel method of identifying paddy seed varieties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422170/
https://www.ncbi.nlm.nih.gov/pubmed/28397773
http://dx.doi.org/10.3390/s17040809
work_keys_str_mv AT huangkuoyi anovelmethodofidentifyingpaddyseedvarieties
AT chienmaochien anovelmethodofidentifyingpaddyseedvarieties
AT huangkuoyi novelmethodofidentifyingpaddyseedvarieties
AT chienmaochien novelmethodofidentifyingpaddyseedvarieties