Intelligent classification of palm oil tree pollination using E-nose
The pollination period is one of the crucial steps needed to ensure crop yield increases, especially in palm oil palm plantations. Most of the research has difficulty determining the pollination period of palm oil. Many problems contribute to this problem, such as difficut to reach and depedency of...
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| Format: | Article |
| Language: | English |
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Penerbit UMP
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33609/ http://umpir.ump.edu.my/id/eprint/33609/1/Intelligent%20classification%20of%20palm%20oil%20tree%20pollination%20using%20E_nose.pdf |
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| author | Abdul Rahim, Jalil Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd Razam, Abd Latip Mohammad Saiful Nizam, Ismail Mohamad Nor Azizi, Shabudin Wan Rusyidah, W. Rusik |
| author_facet | Abdul Rahim, Jalil Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd Razam, Abd Latip Mohammad Saiful Nizam, Ismail Mohamad Nor Azizi, Shabudin Wan Rusyidah, W. Rusik |
| author_sort | Abdul Rahim, Jalil |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The pollination period is one of the crucial steps needed to ensure crop yield increases, especially in palm oil palm plantations. Most of the research has difficulty determining the pollination period of palm oil. Many problems contribute to this problem, such as difficut to reach and depedency of the polination insect as the insect activity is influenced by the surrounding enviroment.E-Nose can help determine the period by classifiy odour pattern of the male and female palm oil flower. The pattern of each of the flowers were classified using cased – based reasoning artificial intelligent technique. This paper shows the research of the palm oil pollination flower odour profile pattern using case-based reasoning (CBR) classifier. |
| first_indexed | 2025-11-15T03:10:48Z |
| format | Article |
| id | ump-33609 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:10:48Z |
| publishDate | 2020 |
| publisher | Penerbit UMP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-336092022-04-01T07:38:48Z http://umpir.ump.edu.my/id/eprint/33609/ Intelligent classification of palm oil tree pollination using E-nose Abdul Rahim, Jalil Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd Razam, Abd Latip Mohammad Saiful Nizam, Ismail Mohamad Nor Azizi, Shabudin Wan Rusyidah, W. Rusik TP Chemical technology TS Manufactures The pollination period is one of the crucial steps needed to ensure crop yield increases, especially in palm oil palm plantations. Most of the research has difficulty determining the pollination period of palm oil. Many problems contribute to this problem, such as difficut to reach and depedency of the polination insect as the insect activity is influenced by the surrounding enviroment.E-Nose can help determine the period by classifiy odour pattern of the male and female palm oil flower. The pattern of each of the flowers were classified using cased – based reasoning artificial intelligent technique. This paper shows the research of the palm oil pollination flower odour profile pattern using case-based reasoning (CBR) classifier. Penerbit UMP 2020-06 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/33609/1/Intelligent%20classification%20of%20palm%20oil%20tree%20pollination%20using%20E_nose.pdf Abdul Rahim, Jalil and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Mujahid, Mohamad and Saiful Nizam, Tajuddin and Che Mohd Aizal, Che Mohd and Razam, Abd Latip and Mohammad Saiful Nizam, Ismail and Mohamad Nor Azizi, Shabudin and Wan Rusyidah, W. Rusik (2020) Intelligent classification of palm oil tree pollination using E-nose. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (1). pp. 28-37. ISSN 2637-0883. (Published) https://doi.org/10.15282/mekatronika.v2i1.6722 https://doi.org/10.15282/mekatronika.v2i1.6722 |
| spellingShingle | TP Chemical technology TS Manufactures Abdul Rahim, Jalil Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd Razam, Abd Latip Mohammad Saiful Nizam, Ismail Mohamad Nor Azizi, Shabudin Wan Rusyidah, W. Rusik Intelligent classification of palm oil tree pollination using E-nose |
| title | Intelligent classification of palm oil tree pollination using E-nose |
| title_full | Intelligent classification of palm oil tree pollination using E-nose |
| title_fullStr | Intelligent classification of palm oil tree pollination using E-nose |
| title_full_unstemmed | Intelligent classification of palm oil tree pollination using E-nose |
| title_short | Intelligent classification of palm oil tree pollination using E-nose |
| title_sort | intelligent classification of palm oil tree pollination using e-nose |
| topic | TP Chemical technology TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/33609/ http://umpir.ump.edu.my/id/eprint/33609/ http://umpir.ump.edu.my/id/eprint/33609/ http://umpir.ump.edu.my/id/eprint/33609/1/Intelligent%20classification%20of%20palm%20oil%20tree%20pollination%20using%20E_nose.pdf |