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Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm

A method was developed based on spectral analysis and classification models for early detection of water stress level in the leaves of oil palm seedlings. The healthy (well-watered: D0) and water-stressed (subjected to water stress for five days: D1-D5) leaves of oil palm seedlings were investigated...

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Main Authors: Raypah, Muna E., Muhammad Imran, Mohd Nasru, Muhammad Hazeem Hasnol, Nazim, Ahmad Fairuz, Omar, Siti Anis Dalila, Muhammad Zahir, Mohd Faizal, Jamlos, Muncan, Jelena S.
Format: Article
Language:English
English
Published: Elsevier 2023
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41791/1/Spectral%20response%20to%20early%20detection%20of%20stressed%20oil%20palm%20seedlings_ABST.pdf
http://umpir.ump.edu.my/id/eprint/41791/2/Spectral%20response%20to%20early%20detection%20of%20stressed%20oil%20palm%20seedlings.pdf
http://umpir.ump.edu.my/id/eprint/41791/
https://doi.org/10.1016/j.infrared.2023.104984
https://doi.org/10.1016/j.infrared.2023.104984
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spelling my.ump.umpir.417912024-07-03T06:44:39Z http://umpir.ump.edu.my/id/eprint/41791/ Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm Raypah, Muna E. Muhammad Imran, Mohd Nasru Muhammad Hazeem Hasnol, Nazim Ahmad Fairuz, Omar Siti Anis Dalila, Muhammad Zahir Mohd Faizal, Jamlos Muncan, Jelena S. TK Electrical engineering. Electronics Nuclear engineering A method was developed based on spectral analysis and classification models for early detection of water stress level in the leaves of oil palm seedlings. The healthy (well-watered: D0) and water-stressed (subjected to water stress for five days: D1-D5) leaves of oil palm seedlings were investigated to identify and classify the stress levels. The stress levels were grouped as light, moderate, and severe. The region 900–1000 nm was selected because it is highly correlated with water content, particularly in terms of first and second derivatives. The measured reflectance spectra at 900–1000 nm were pre-processed using smoothing, standard normal variate (SNV), and first and second Savitzky-Golay (SG) derivatives. Principal component analysis (PCA) was performed on several transformed datasets to reduce the reflectance spectral dimension and derive the principal components (PCs). Support vector machine (SVM) and linear discriminant analysis (LDA) classification models were employed to the scores of PCs to achieve six classification levels of water stress. Classification accuracy was assessed using the overall accuracy and confusion matrix of testing datasets. The SVM and PCA-LDA classification models predicted the water stress levels with high average overall classification accuracy of 92 % and 94 % using the smoothed + SNV + first derivative and smoothed + SNV spectral dataset, respectively. The findings confirmed the potential of 900–1000 nm region to distinguish the different levels of water stress in oil palm seedlings. Elsevier 2023-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41791/1/Spectral%20response%20to%20early%20detection%20of%20stressed%20oil%20palm%20seedlings_ABST.pdf pdf en http://umpir.ump.edu.my/id/eprint/41791/2/Spectral%20response%20to%20early%20detection%20of%20stressed%20oil%20palm%20seedlings.pdf Raypah, Muna E. and Muhammad Imran, Mohd Nasru and Muhammad Hazeem Hasnol, Nazim and Ahmad Fairuz, Omar and Siti Anis Dalila, Muhammad Zahir and Mohd Faizal, Jamlos and Muncan, Jelena S. (2023) Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm. Infrared Physics & Technology, 135 (104984). pp. 1-12. ISSN 1350-4495. (Published) https://doi.org/10.1016/j.infrared.2023.104984 https://doi.org/10.1016/j.infrared.2023.104984
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Raypah, Muna E.
Muhammad Imran, Mohd Nasru
Muhammad Hazeem Hasnol, Nazim
Ahmad Fairuz, Omar
Siti Anis Dalila, Muhammad Zahir
Mohd Faizal, Jamlos
Muncan, Jelena S.
Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm
description A method was developed based on spectral analysis and classification models for early detection of water stress level in the leaves of oil palm seedlings. The healthy (well-watered: D0) and water-stressed (subjected to water stress for five days: D1-D5) leaves of oil palm seedlings were investigated to identify and classify the stress levels. The stress levels were grouped as light, moderate, and severe. The region 900–1000 nm was selected because it is highly correlated with water content, particularly in terms of first and second derivatives. The measured reflectance spectra at 900–1000 nm were pre-processed using smoothing, standard normal variate (SNV), and first and second Savitzky-Golay (SG) derivatives. Principal component analysis (PCA) was performed on several transformed datasets to reduce the reflectance spectral dimension and derive the principal components (PCs). Support vector machine (SVM) and linear discriminant analysis (LDA) classification models were employed to the scores of PCs to achieve six classification levels of water stress. Classification accuracy was assessed using the overall accuracy and confusion matrix of testing datasets. The SVM and PCA-LDA classification models predicted the water stress levels with high average overall classification accuracy of 92 % and 94 % using the smoothed + SNV + first derivative and smoothed + SNV spectral dataset, respectively. The findings confirmed the potential of 900–1000 nm region to distinguish the different levels of water stress in oil palm seedlings.
format Article
author Raypah, Muna E.
Muhammad Imran, Mohd Nasru
Muhammad Hazeem Hasnol, Nazim
Ahmad Fairuz, Omar
Siti Anis Dalila, Muhammad Zahir
Mohd Faizal, Jamlos
Muncan, Jelena S.
author_facet Raypah, Muna E.
Muhammad Imran, Mohd Nasru
Muhammad Hazeem Hasnol, Nazim
Ahmad Fairuz, Omar
Siti Anis Dalila, Muhammad Zahir
Mohd Faizal, Jamlos
Muncan, Jelena S.
author_sort Raypah, Muna E.
title Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm
title_short Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm
title_full Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm
title_fullStr Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm
title_full_unstemmed Spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm
title_sort spectral response to early detection of stressed oil palm seedlings using near-infrared reflectance spectra at region 900-1000 nm
publisher Elsevier
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/41791/1/Spectral%20response%20to%20early%20detection%20of%20stressed%20oil%20palm%20seedlings_ABST.pdf
http://umpir.ump.edu.my/id/eprint/41791/2/Spectral%20response%20to%20early%20detection%20of%20stressed%20oil%20palm%20seedlings.pdf
http://umpir.ump.edu.my/id/eprint/41791/
https://doi.org/10.1016/j.infrared.2023.104984
https://doi.org/10.1016/j.infrared.2023.104984
_version_ 1822924450607136768
score 13.235367

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