Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices
Nitrogen (N) management is important in sustaining oil palm production. Remote sensing based approaches such as spectral index has promise in assessing the N nutrition content of many crops. The objectives of this study are to examine the N classification capability of three spectral indexes (SI): v...
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| Format: | Conference or Workshop Item |
| Language: | English |
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Institute of Plantation Studies, Universiti Putra Malaysia
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/58870/ http://psasir.upm.edu.my/id/eprint/58870/1/Technical_Paper_7.pdf |
| _version_ | 1848853765649596416 |
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| author | Amirruddin, Amiratul Diyana Muharam, Farrah Melissa |
| author_facet | Amirruddin, Amiratul Diyana Muharam, Farrah Melissa |
| author_sort | Amirruddin, Amiratul Diyana |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Nitrogen (N) management is important in sustaining oil palm production. Remote sensing based approaches such as spectral index has promise in assessing the N nutrition content of many crops. The objectives of this study are to examine the N classification capability of three spectral indexes (SI): visible (Vis), near infrared (NIR) and a combination of visible and NIR (Vis+NIR) using data from the SPOT-6 satellite. N treatments varied from 0 to 2 kg per palm and were applied to both mature palms. The N-sensitive SIs tested in this study were age-dependent. The Vis index such as BGRI1 (CVA= 79.55%) and the Vis+NIR indices such as NDVI, NG, IPVI and GNDVI (CVA= 81.82%) were the best indices to assess N status of young and prime mature palms through the SVM classifier. Nonetheless, the SVM classifier showed promising potential in classifying foliar N content of mature palms that can possibly be used further for developing a new index in assessing N content of oil palms. |
| first_indexed | 2025-11-15T10:59:11Z |
| format | Conference or Workshop Item |
| id | upm-58870 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:59:11Z |
| publishDate | 2017 |
| publisher | Institute of Plantation Studies, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-588702018-02-07T08:42:55Z http://psasir.upm.edu.my/id/eprint/58870/ Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices Amirruddin, Amiratul Diyana Muharam, Farrah Melissa Nitrogen (N) management is important in sustaining oil palm production. Remote sensing based approaches such as spectral index has promise in assessing the N nutrition content of many crops. The objectives of this study are to examine the N classification capability of three spectral indexes (SI): visible (Vis), near infrared (NIR) and a combination of visible and NIR (Vis+NIR) using data from the SPOT-6 satellite. N treatments varied from 0 to 2 kg per palm and were applied to both mature palms. The N-sensitive SIs tested in this study were age-dependent. The Vis index such as BGRI1 (CVA= 79.55%) and the Vis+NIR indices such as NDVI, NG, IPVI and GNDVI (CVA= 81.82%) were the best indices to assess N status of young and prime mature palms through the SVM classifier. Nonetheless, the SVM classifier showed promising potential in classifying foliar N content of mature palms that can possibly be used further for developing a new index in assessing N content of oil palms. Institute of Plantation Studies, Universiti Putra Malaysia 2017 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58870/1/Technical_Paper_7.pdf Amirruddin, Amiratul Diyana and Muharam, Farrah Melissa (2017) Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices. In: International Conference on Big Data Applications in Agriculture (ICBAA2017), 5-6 Dec. 2017, Auditorium Putra, TNCPI Building, Universiti Putra Malaysia. (pp. 107-117). http://spel2.upm.edu.my/webupm/upload/dokumen/penerbitan/20180101231126ICBAA2017_Technical_Paper_7.pdf |
| spellingShingle | Amirruddin, Amiratul Diyana Muharam, Farrah Melissa Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices |
| title | Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices |
| title_full | Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices |
| title_fullStr | Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices |
| title_full_unstemmed | Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices |
| title_short | Classification of oil palm nitrogen status from SPOT-6 satellite using support vector machine and spectral indices |
| title_sort | classification of oil palm nitrogen status from spot-6 satellite using support vector machine and spectral indices |
| url | http://psasir.upm.edu.my/id/eprint/58870/ http://psasir.upm.edu.my/id/eprint/58870/ http://psasir.upm.edu.my/id/eprint/58870/1/Technical_Paper_7.pdf |