Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient
Precision agriculture with regard to crop science was introduced to apply only the required and optimal amount of fertiliser, which inspired the present study of nutrient prediction for oil palm using spectroradiometer with wavelengths ranging from 350 to 2500 nm. Partial least square (PLS) method w...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/66309/1/19%20JST-0914-2017-3rdProof.pdf |
| _version_ | 1825933109393096704 |
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| author | James Jayaselan, Helena Anusia Wan Ismail, Wan Ishak Mat Nawi, Nazmi Mohamed Shariff, Abdul Rashid |
| author_facet | James Jayaselan, Helena Anusia Wan Ismail, Wan Ishak Mat Nawi, Nazmi Mohamed Shariff, Abdul Rashid |
| author_sort | James Jayaselan, Helena Anusia |
| collection | UPM |
| description | Precision agriculture with regard to crop science was introduced to apply only the required and optimal amount of fertiliser, which inspired the present study of nutrient prediction for oil palm using spectroradiometer with wavelengths ranging from 350 to 2500 nm. Partial least square (PLS) method was used to develop a statistical model to interpret spectral data for nutrient deficiency of nitrogen (N), phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca) and boron (B) of oil palm. Prior to the development of the PLS model, pre-processing was conducted to ensure only the smooth and best signals were studied, which includes the multiplicative scatter correction (MSC), first and second derivatives and standard normal variate (SNV), Gaussian filter and Savitzky-Golay smoothing. The MSC technique was the optimal overall pre-treatment method for nutrients in this study, with highest prediction R2 of 0.91 for N and lowest RMSEP value of 0.00 for P. |
| first_indexed | 2024-03-06T09:52:14Z |
| format | Article |
| id | upm.eprints-66309 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:52:14Z |
| publishDate | 2018 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | upm.eprints-663092019-02-12T07:04:26Z http://psasir.upm.edu.my/id/eprint/66309/ Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient James Jayaselan, Helena Anusia Wan Ismail, Wan Ishak Mat Nawi, Nazmi Mohamed Shariff, Abdul Rashid Precision agriculture with regard to crop science was introduced to apply only the required and optimal amount of fertiliser, which inspired the present study of nutrient prediction for oil palm using spectroradiometer with wavelengths ranging from 350 to 2500 nm. Partial least square (PLS) method was used to develop a statistical model to interpret spectral data for nutrient deficiency of nitrogen (N), phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca) and boron (B) of oil palm. Prior to the development of the PLS model, pre-processing was conducted to ensure only the smooth and best signals were studied, which includes the multiplicative scatter correction (MSC), first and second derivatives and standard normal variate (SNV), Gaussian filter and Savitzky-Golay smoothing. The MSC technique was the optimal overall pre-treatment method for nutrients in this study, with highest prediction R2 of 0.91 for N and lowest RMSEP value of 0.00 for P. Universiti Putra Malaysia Press 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/66309/1/19%20JST-0914-2017-3rdProof.pdf James Jayaselan, Helena Anusia and Wan Ismail, Wan Ishak and Mat Nawi, Nazmi and Mohamed Shariff, Abdul Rashid (2018) Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient. Pertanika Journal of Science & Technology, 26 (3). pp. 1169-1182. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2026%20(3)%20Jul.%202018/19%20JST-0914-2017-3rdProof.pdf |
| spellingShingle | James Jayaselan, Helena Anusia Wan Ismail, Wan Ishak Mat Nawi, Nazmi Mohamed Shariff, Abdul Rashid Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient |
| title | Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient |
| title_full | Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient |
| title_fullStr | Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient |
| title_full_unstemmed | Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient |
| title_short | Determination of the optimal pre-processing technique for spectral data of oil palm leaves with respect to nutrient |
| title_sort | determination of the optimal pre processing technique for spectral data of oil palm leaves with respect to nutrient |
| url | http://psasir.upm.edu.my/id/eprint/66309/1/19%20JST-0914-2017-3rdProof.pdf |
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