Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Copyright(C) MYU K.K.

Development of a Novel Autoinspection System for Paddy Seed Early-germination Performance

An-Qin Xu, Shi-Jie Luo, Feng-Yi Liao, I-Cheng Chen, Mao-Chien Chien, and Kuo-Yi Huang

(Received July 22, 2020; Accepted October 11, 2020)

Keywords: paddy seedlings, machine vision, autoinspection

We present a novel vision machine for autoinspecting paddy seed early-germination. The system comprises an inlet–outlet mechanism, machine vision hardware and software, and a control system for inspecting paddy seed early-germination. Differences in color are used to segment the structure of germinating seedlings. A thinning operator is employed to extract the skeleton of the root system, and the skeleton pruning method is used to remove branched roots and extract taproots. Features such as the length and width of the taproot and the length and curvature of the seed axis are provided as the input neurons of neural networks to classify seed germination as “normal” or “abnormal”. The inspection accuracy was found to be 86.09%. The experimental results indicated that early-germinating paddy seeds can be inspected efficiently by using the developed system.

Corresponding author: Kuo-Yi Huang




Forthcoming Regular Issues


Forthcoming Special Issues

Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices Part 1
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Longyan University)


Special Issue on New Trends in Smart Sensor Systems
Guest editor, Takahiro Hayashi (Kansai University)


Special Issue on Intelligent Sensing Control Analysis, Optimization and Automation (2)
Guest editor, Cheng-Chi Wang (National Chin-Yi University of Technology)


Special Issue on Geomatics Technologies for the Realization of Smart Cities (2)
Guest editor, He Huang and XiangLei Liu (Beijing University of Civil Engineering and Architecture)
Call for paper


Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website
Call for paper


Special Issue on Optical Sensors: Novel Materials, Approaches, and Applications
Guest editor, Yap Wing Fen (Universiti Putra Malaysia)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.