Size measurement and filled/unfilled detection of rice grains using backlight image processing.
breeding
computer vision
image processing
physical traits
rice
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2023
2023
Historique:
received:
28
04
2023
accepted:
20
09
2023
medline:
30
10
2023
pubmed:
30
10
2023
entrez:
30
10
2023
Statut:
epublish
Résumé
Measurements of rice physical traits, such as length, width, and percentage of filled/unfilled grains, are essential steps of rice breeding. A new approach for measuring the physical traits of rice grains for breeding purposes was presented in this study, utilizing image processing techniques. Backlight photography was used to capture a grayscale image of a group of rice grains, which was then analyzed using a clustering algorithm to differentiate between filled and unfilled grains based on their grayscale values. The impact of backlight intensity on the accuracy of the method was also investigated. The results show that the proposed method has excellent accuracy and high efficiency. The mean absolute percentage error of the method was 0.24% and 1.36% in calculating the total number of grain particles and distinguishing the number of filled grains, respectively. The grain size was also measured with a little margin of error. The mean absolute percentage error of grain length measurement was 1.11%, while the measurement error of grain width was 4.03%. The method was found to be highly accurate, non-destructive, and cost-effective when compared to conventional methods, making it a promising approach for characterizing physical traits for crop breeding.
Identifiants
pubmed: 37900751
doi: 10.3389/fpls.2023.1213486
pmc: PMC10613065
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1213486Informations de copyright
Copyright © 2023 Feng, Wang, Zeng, Zhou, Lan, Zou, Gong and Qi.
Déclaration de conflit d'intérêts
Author WZ is employed by Top-Leading Intelligent Technology Co. ltd. The remaining authors declare that the research was conductedin the absence of any commercial or financial relationships thatcould be construed as a potential conflict of interest.
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