Citation
Mohd Kassim, Muhamad Saufi and Wan Ismail, Wan Ishak and Ramli, Abdul Rahman and Bejo, Siti Khairunniza
(2014)
Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling.
In: 2nd International Conference on Agricultural and Food Engineering, CAFEi2014, 1-3 Dec. 2014, Kuala Lumpur, Malaysia. (pp. 337-344).
Abstract
Digital images of FFB from anthesis to harvesting stage were acquired and grouped into 25 maturity stages. K-means clustering technique was used to separate the images into three colours clusters that represent three FFB features, Fruitlet, Brown spine and Green spine. The relationship of Hue colour component and FFB maturity stages was established. The FFB was found to grow in three major stages, from week 0 to 5, week 6 to 14 and week 15 to 24. From the relationship a Growth Model was developed and was validated with actual maturity stage. The coefficient of determination, R2 was 0.95.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.1016/j.aaspro.2014.11.047 |
| Publisher: | Elsevier (Science Direct) |
| Keywords: | Image processing; Pattern recognition; Vision system |
| Depositing User: | Nursyafinaz Mohd Noh |
| Date Deposited: | 08 Jul 2015 06:08 |
| Last Modified: | 13 Jul 2015 04:37 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.aaspro.2014.11.047 |
| URI: | http://psasir.upm.edu.my/id/eprint/39263 |
| Statistic Details: | View Download Statistic |
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