The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings
Field spectroscopy is a rapid and non-destructive analytical technique that may be used for assessing plant stress and disease. The objective of this study was to develop spectral indices for detection of Ganoderma disease in oil palm seedlings. The reflectance spectra of oil palm seedlings from thr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/64743/1/The%20development%20of%20spectral%20indices%20for%20early%20detection%20of%20Ganoderma%20disease%20in%20oil%20palm%20seedlings.pdf |
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| author | Anuar, Mohamad Izzuddin Abu Seman, Idris Mohd Noor, Nisfariza Abd Aziz, Nordiana Mohd Shafri, Helmi Zulhaidi Bahrom, Ezzati |
| author_facet | Anuar, Mohamad Izzuddin Abu Seman, Idris Mohd Noor, Nisfariza Abd Aziz, Nordiana Mohd Shafri, Helmi Zulhaidi Bahrom, Ezzati |
| author_sort | Anuar, Mohamad Izzuddin |
| collection | UPM |
| description | Field spectroscopy is a rapid and non-destructive analytical technique that may be used for assessing plant stress and disease. The objective of this study was to develop spectral indices for detection of Ganoderma disease in oil palm seedlings. The reflectance spectra of oil palm seedlings from three levels of Ganoderma disease severity were acquired using a spectroradiometer. Denoizing and data transformation using first derivative analysis was conducted on the original reflectance spectra. Then, comparative statistical analysis was used to select significant wavelength from transformed data. Wavelength pairs of spectral indices were selected using optimum index factor. The spectral indices were produced using the wavelength ratios and a modified simple ratio method. The relationship analysis between spectral indices and total leaf chlorophyll (TLC) was conducted using regression technique. The results suggested that six spectral indices are suitable for the early detection of Ganoderma disease in oil palm seedlings. Final results after regression with TLC showed that Ratio 3 is the best spectral index for the early detection of Ganoderma infection in oil palm seedlings. For future works, this can be used for the development of robust spectral indices for Ganoderma disease detection in young and mature oil palm using airborne hyperspectral imaging. |
| first_indexed | 2024-03-06T09:47:41Z |
| format | Article |
| id | upm.eprints-64743 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:47:41Z |
| publishDate | 2017 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-647432018-08-14T07:09:58Z http://psasir.upm.edu.my/id/eprint/64743/ The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings Anuar, Mohamad Izzuddin Abu Seman, Idris Mohd Noor, Nisfariza Abd Aziz, Nordiana Mohd Shafri, Helmi Zulhaidi Bahrom, Ezzati Field spectroscopy is a rapid and non-destructive analytical technique that may be used for assessing plant stress and disease. The objective of this study was to develop spectral indices for detection of Ganoderma disease in oil palm seedlings. The reflectance spectra of oil palm seedlings from three levels of Ganoderma disease severity were acquired using a spectroradiometer. Denoizing and data transformation using first derivative analysis was conducted on the original reflectance spectra. Then, comparative statistical analysis was used to select significant wavelength from transformed data. Wavelength pairs of spectral indices were selected using optimum index factor. The spectral indices were produced using the wavelength ratios and a modified simple ratio method. The relationship analysis between spectral indices and total leaf chlorophyll (TLC) was conducted using regression technique. The results suggested that six spectral indices are suitable for the early detection of Ganoderma disease in oil palm seedlings. Final results after regression with TLC showed that Ratio 3 is the best spectral index for the early detection of Ganoderma infection in oil palm seedlings. For future works, this can be used for the development of robust spectral indices for Ganoderma disease detection in young and mature oil palm using airborne hyperspectral imaging. Taylor & Francis 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64743/1/The%20development%20of%20spectral%20indices%20for%20early%20detection%20of%20Ganoderma%20disease%20in%20oil%20palm%20seedlings.pdf Anuar, Mohamad Izzuddin and Abu Seman, Idris and Mohd Noor, Nisfariza and Abd Aziz, Nordiana and Mohd Shafri, Helmi Zulhaidi and Bahrom, Ezzati (2017) The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings. International Journal of Remote Sensing, 38 (23). pp. 6505-6527. ISSN 0143-1161; ESSN: 1366-5901 https://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1335908 10.1080/01431161.2017.1335908 |
| spellingShingle | Anuar, Mohamad Izzuddin Abu Seman, Idris Mohd Noor, Nisfariza Abd Aziz, Nordiana Mohd Shafri, Helmi Zulhaidi Bahrom, Ezzati The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings |
| title | The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings |
| title_full | The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings |
| title_fullStr | The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings |
| title_full_unstemmed | The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings |
| title_short | The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings |
| title_sort | development of spectral indices for early detection of ganoderma disease in oil palm seedlings |
| url | http://psasir.upm.edu.my/id/eprint/64743/1/The%20development%20of%20spectral%20indices%20for%20early%20detection%20of%20Ganoderma%20disease%20in%20oil%20palm%20seedlings.pdf |
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