Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria
Latex is one of many commodities that our country exports. To produce high quality latex, the rubber tree must be come from good clone seeds such as from clone RRIM2000 series. In order to identify those clones, rubber seed clone inspector will physically be analyzed by looking at its shape, colour...
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2010
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my-uitm-ir.1027502024-11-27T06:07:13Z Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria 2010 Zakaria, Mohd Rohaizad Rubber plants Detectors. Sensors. Sensor networks Latex is one of many commodities that our country exports. To produce high quality latex, the rubber tree must be come from good clone seeds such as from clone RRIM2000 series. In order to identify those clones, rubber seed clone inspector will physically be analyzed by looking at its shape, colour and size. For an experienced rubber seed clone inspector is not a problem but to train new rubber seed clone inspector is consuming time and money. Every clone has distinct pattern and colour at their surface. By using reflectance sensor, the sensor can use those parameters to differentiate also can identify the type of clone. Analysis results were shown in terms of data and graph where the ADC values of each type of clone were different. Results of findings have sown evidence that the brightness of brown colour on the upper surface of the clone seed can be used to classify the types of rubber clones and using FPGA it can be automated to identify the types of rubber seed clone. 2010 Thesis https://ir.uitm.edu.my/id/eprint/102750/ https://ir.uitm.edu.my/id/eprint/102750/1/102750.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Othman, Fairul Nazmie |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
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English |
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Othman, Fairul Nazmie |
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Rubber plants Rubber plants |
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Rubber plants Rubber plants Zakaria, Mohd Rohaizad Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria |
description |
Latex is one of many commodities that our country exports. To produce high quality latex, the rubber tree must be come from good clone seeds such as from clone RRIM2000 series. In order to identify those clones, rubber seed clone inspector will physically be analyzed by looking at its shape, colour and size. For an experienced rubber seed clone inspector is not a problem but to train new rubber seed clone inspector is consuming time and money. Every clone has distinct pattern and colour at their surface. By using reflectance sensor, the sensor can use those parameters to differentiate also can identify the type of clone. Analysis results were shown in terms of data and graph where the ADC values of each type of clone were different. Results of findings have sown evidence that the brightness of brown colour on the upper surface of the clone seed can be used to classify the types of rubber clones and using FPGA it can be automated to identify the types of rubber seed clone. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Zakaria, Mohd Rohaizad |
author_facet |
Zakaria, Mohd Rohaizad |
author_sort |
Zakaria, Mohd Rohaizad |
title |
Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria |
title_short |
Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria |
title_full |
Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria |
title_fullStr |
Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria |
title_full_unstemmed |
Automated rubber seed clones identification using reflectance sensors with FPGA / Mohd Rohaizad Zakaria |
title_sort |
automated rubber seed clones identification using reflectance sensors with fpga / mohd rohaizad zakaria |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2010 |
url |
https://ir.uitm.edu.my/id/eprint/102750/1/102750.pdf |
_version_ |
1818588048440426496 |