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Sensors 2017, 17(4), 809; doi:10.3390/s17040809

A Novel Method of Identifying Paddy Seed Varieties

Department of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Tai-Chung 402, Taiwan
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Academic Editor: Vittorio M. N. Passaro
Received: 11 February 2017 / Revised: 1 April 2017 / Accepted: 5 April 2017 / Published: 9 April 2017
(This article belongs to the Special Issue Innovative Sensing Control Scheme for Advanced Materials)
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Abstract

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. View Full-Text
Keywords: paddy seeds; image processing; identification paddy seeds; image processing; identification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Huang, K.-Y.; Chien, M.-C. A Novel Method of Identifying Paddy Seed Varieties. Sensors 2017, 17, 809.

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