Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling
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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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Elsevier (Science Direct)
2014
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| _version_ | 1796973505334476800 |
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| author | Mohd Kassim, Muhamad Saufi Wan Ismail, Wan Ishak Ramli, Abdul Rahman Bejo, Siti Khairunniza |
| author_facet | Mohd Kassim, Muhamad Saufi Wan Ismail, Wan Ishak Ramli, Abdul Rahman Bejo, Siti Khairunniza |
| author_sort | Mohd Kassim, Muhamad Saufi |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T08:43:39Z |
| format | Conference or Workshop Item |
| id | upm.eprints-39263 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T08:43:39Z |
| publishDate | 2014 |
| publisher | Elsevier (Science Direct) |
| record_format | dspace |
| spelling | upm.eprints-392632015-07-13T04:37:27Z http://psasir.upm.edu.my/id/eprint/39263/ Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling Mohd Kassim, Muhamad Saufi Wan Ismail, Wan Ishak Ramli, Abdul Rahman Bejo, Siti Khairunniza 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. Elsevier (Science Direct) 2014 Conference or Workshop Item NonPeerReviewed 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). 10.1016/j.aaspro.2014.11.047 |
| spellingShingle | Mohd Kassim, Muhamad Saufi Wan Ismail, Wan Ishak Ramli, Abdul Rahman Bejo, Siti Khairunniza Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling |
| title | Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling |
| title_full | Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling |
| title_fullStr | Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling |
| title_full_unstemmed | Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling |
| title_short | Image clustering technique in oil palm fresh fruit bunch (FFB) growth modeling |
| title_sort | image clustering technique in oil palm fresh fruit bunch ffb growth modeling |
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