Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy

Pesticides have long been used in cabbage industry to control pests. This study aimed to investigate the potential application of visible shortwave near infrared spectroscopy for detection of typical pesticide (deltamethrin) on round cabbages. In this study, a total of 60 round cabbages were used. T...

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Main Authors: Che Mohammad Ishkandar El-Rahimin, Che Dini Maryani, Mat Nawi, Nazmi, Janius, Rimfiel, Mazlan, Norida, Muhamad Radzi, Chut Afifa
Format: Conference or Workshop Item
Language:English
Published: Institute of Plantation Studies, Universiti Putra Malaysia 2017
Online Access:http://psasir.upm.edu.my/id/eprint/58878/
http://psasir.upm.edu.my/id/eprint/58878/1/Technical_Paper_8.pdf
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author Che Mohammad Ishkandar El-Rahimin, Che Dini Maryani
Mat Nawi, Nazmi
Janius, Rimfiel
Mazlan, Norida
Muhamad Radzi, Chut Afifa
author_facet Che Mohammad Ishkandar El-Rahimin, Che Dini Maryani
Mat Nawi, Nazmi
Janius, Rimfiel
Mazlan, Norida
Muhamad Radzi, Chut Afifa
author_sort Che Mohammad Ishkandar El-Rahimin, Che Dini Maryani
building UPM Institutional Repository
collection Online Access
description Pesticides have long been used in cabbage industry to control pests. This study aimed to investigate the potential application of visible shortwave near infrared spectroscopy for detection of typical pesticide (deltamethrin) on round cabbages. In this study, a total of 60 round cabbages were used. The sample were divided into four batches. Three batches of round cabbage were sprayed with deltamethrin at three different concentrations level of pesticides namely low, medium and high with values of 0.08, 0.11 and 0.14 % (v/v), respectively. Spectral data of the cabbage samples were collected using visible shortwave near infrared spectrometer (VSWNIRS) with the wavelength range between 200 to 1100 nm. The spectral data was pretreated using multiple scattering correction (MSC) method in order to obtain optimal prediction values. Gas chromatography was used to determine the multi-residue limit (MRL) value of the samples. Calibration and prediction models were developed to correlate the spectral data with MRL values using partial least square regression (PLS) method. The calibration model produced the values of coefficient of determination (R2) and root mean square errors (RMSEP) of 0.98 and 0.02, respectively. The prediction models gave good R2 and RMSEC values of 0.94 and 0.04, respectively. These results demonstrated that the proposed spectroscopic measurement provide a promising technique for pesticide detection at different level of concentration on round cabbage.
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format Conference or Workshop Item
id upm-58878
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T10:59:13Z
publishDate 2017
publisher Institute of Plantation Studies, Universiti Putra Malaysia
recordtype eprints
repository_type Digital Repository
spelling upm-588782018-02-07T09:11:07Z http://psasir.upm.edu.my/id/eprint/58878/ Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy Che Mohammad Ishkandar El-Rahimin, Che Dini Maryani Mat Nawi, Nazmi Janius, Rimfiel Mazlan, Norida Muhamad Radzi, Chut Afifa Pesticides have long been used in cabbage industry to control pests. This study aimed to investigate the potential application of visible shortwave near infrared spectroscopy for detection of typical pesticide (deltamethrin) on round cabbages. In this study, a total of 60 round cabbages were used. The sample were divided into four batches. Three batches of round cabbage were sprayed with deltamethrin at three different concentrations level of pesticides namely low, medium and high with values of 0.08, 0.11 and 0.14 % (v/v), respectively. Spectral data of the cabbage samples were collected using visible shortwave near infrared spectrometer (VSWNIRS) with the wavelength range between 200 to 1100 nm. The spectral data was pretreated using multiple scattering correction (MSC) method in order to obtain optimal prediction values. Gas chromatography was used to determine the multi-residue limit (MRL) value of the samples. Calibration and prediction models were developed to correlate the spectral data with MRL values using partial least square regression (PLS) method. The calibration model produced the values of coefficient of determination (R2) and root mean square errors (RMSEP) of 0.98 and 0.02, respectively. The prediction models gave good R2 and RMSEC values of 0.94 and 0.04, respectively. These results demonstrated that the proposed spectroscopic measurement provide a promising technique for pesticide detection at different level of concentration on round cabbage. Institute of Plantation Studies, Universiti Putra Malaysia 2017 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58878/1/Technical_Paper_8.pdf Che Mohammad Ishkandar El-Rahimin, Che Dini Maryani and Mat Nawi, Nazmi and Janius, Rimfiel and Mazlan, Norida and Muhamad Radzi, Chut Afifa (2017) Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy. In: International Conference on Big Data Applications in Agriculture (ICBAA2017), 5-6 Dec. 2017, Auditorium Putra, TNCPI Building, Universiti Putra Malaysia. (pp. 118-123). http://spel2.upm.edu.my/webupm/upload/dokumen/penerbitan/20180101232338ICBAA2017_Technical_Paper_8.pdf
spellingShingle Che Mohammad Ishkandar El-Rahimin, Che Dini Maryani
Mat Nawi, Nazmi
Janius, Rimfiel
Mazlan, Norida
Muhamad Radzi, Chut Afifa
Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy
title Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy
title_full Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy
title_fullStr Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy
title_full_unstemmed Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy
title_short Detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy
title_sort detection of pesticide presence on round cabbages using visible shortwave near infrared spectroscopy
url http://psasir.upm.edu.my/id/eprint/58878/
http://psasir.upm.edu.my/id/eprint/58878/
http://psasir.upm.edu.my/id/eprint/58878/1/Technical_Paper_8.pdf