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: | Article |
| Language: | English |
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Elsevier
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/37930/1/37930.pdf |
| _version_ | 1825949127560658944 |
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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 | 2024-03-06T08:39:48Z |
| format | Article |
| id | upm.eprints-37930 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:39:48Z |
| publishDate | 2014 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | upm.eprints-379302015-12-29T11:02:52Z http://psasir.upm.edu.my/id/eprint/37930/ 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 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37930/1/37930.pdf 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. Agriculture and Agricultural Science Procedia, 2. pp. 337-344. ISSN 2210-7843 http://www.sciencedirect.com/science/article/pii/S2210784314000485 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 |
| url | http://psasir.upm.edu.my/id/eprint/37930/1/37930.pdf |
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