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Automatic prediction of brix and acidity in stages of ripeness of strawberries using image processing techniques

Title
Automatic prediction of brix and acidity in stages of ripeness of strawberries using image processing techniques
Authors
Cho, WanhyunNa, MyunghwanKim, SangkoonJeon, Wonbae
DGIST Authors
Jeon, Wonbae
Issue Date
2019-06-26
Citation
34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
Type
Conference
ISBN
9781728132716
Abstract
In this paper, we propose an automatic prediction system that can predict strawberry harvesting time, sugar content and acidity simultaneously. To do this, we firstly considered a segmentation algorithm using ellipsoid Hough transform that can automatically segment the real strawberry image. Second, we considered HSV color models and histogram - based color features that can be used to classify three stages of maturation of strawberries. Third, we considered the PSL model, which is a statistical analysis method that can be used to predict sugar content and acidity by stages of ripeness of strawberries. Finally, we conducted experiments using various strawberry measurement data observed in Korea's Gangwon - do Highland to evaluate the performance of the proposed prediction system. From the experimental results, it was found that the proposed prediction system can predict the harvest timing, sugar content and acidity of strawberry relatively accurately. © 2019 IEEE.
URI
http://hdl.handle.net/20.500.11750/10633
DOI
10.1109/ITC-CSCC.2019.8793349
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
There are no files associated with this item.
Collection:
Division of Biotechnology2. Conference Papers


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