Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook
Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causing a serious threat to the palm oil industry. This catastrophic disease ultimately destructs the basal tissues of oil palm that causing the eventual death of the palm. Early detection of G. boninense is vital...
| Main Authors: | , , , , , , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
Springer Nature
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/31674/ http://umpir.ump.edu.my/id/eprint/31674/8/Near-Infrared%20Spectroscopy%20for%20Ganoderma%20Boninense.pdf |
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| author | Mas Ira Syafila, Mohd Hilmi Tan Mohd Faizal, Jamlos Ahmad Fairuz, Omar Fatimah, Dzaharudin Mohd Azraie, Mohd Azmi Mohd Noor, Ahmad Nur Akmal, Abd. Rahman Khairil Anuar, Khairi |
| author_facet | Mas Ira Syafila, Mohd Hilmi Tan Mohd Faizal, Jamlos Ahmad Fairuz, Omar Fatimah, Dzaharudin Mohd Azraie, Mohd Azmi Mohd Noor, Ahmad Nur Akmal, Abd. Rahman Khairil Anuar, Khairi |
| author_sort | Mas Ira Syafila, Mohd Hilmi Tan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causing a serious threat to the palm oil industry. This catastrophic disease ultimately destructs the basal tissues of oil palm that causing the eventual death of the palm. Early detection of G. boninense is vital since there is no effective treatment to stop the continuing spread of the disease. This mini-review describes past and future prospects of integrated research of near infrared spectroscopy (NIRS) towards early G. boninense detection system. This effort could reduce the cost of plantation management and avoid production losses. Remarkably, i) spectroscopy techniques are more reliable than other detection techniques such as serological, molecular, biomarker-based sensor and hyperspectral in reacting with organic tissues, ii) NIR spectrum is more precise and sensitive to particular diseases include G. boninense compared to visible light iii) hand-held NIRS for in-situ measurement is to explore the efficacy for early detection system in real-time using machine learning (ML) classifier algorithms and predictive analytics model. This non-destructive, environmentally friendly (no chemical involved), mobile and sensitive leads the integrated hand-held NIRS with ML, and predictive analytics has significant potential as a platform towards early detection of G. boninense in the future. |
| first_indexed | 2025-11-15T03:03:19Z |
| format | Book Chapter |
| id | ump-31674 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:03:19Z |
| publishDate | 2021 |
| publisher | Springer Nature |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-316742021-08-06T04:16:44Z http://umpir.ump.edu.my/id/eprint/31674/ Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook Mas Ira Syafila, Mohd Hilmi Tan Mohd Faizal, Jamlos Ahmad Fairuz, Omar Fatimah, Dzaharudin Mohd Azraie, Mohd Azmi Mohd Noor, Ahmad Nur Akmal, Abd. Rahman Khairil Anuar, Khairi TJ Mechanical engineering and machinery Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causing a serious threat to the palm oil industry. This catastrophic disease ultimately destructs the basal tissues of oil palm that causing the eventual death of the palm. Early detection of G. boninense is vital since there is no effective treatment to stop the continuing spread of the disease. This mini-review describes past and future prospects of integrated research of near infrared spectroscopy (NIRS) towards early G. boninense detection system. This effort could reduce the cost of plantation management and avoid production losses. Remarkably, i) spectroscopy techniques are more reliable than other detection techniques such as serological, molecular, biomarker-based sensor and hyperspectral in reacting with organic tissues, ii) NIR spectrum is more precise and sensitive to particular diseases include G. boninense compared to visible light iii) hand-held NIRS for in-situ measurement is to explore the efficacy for early detection system in real-time using machine learning (ML) classifier algorithms and predictive analytics model. This non-destructive, environmentally friendly (no chemical involved), mobile and sensitive leads the integrated hand-held NIRS with ML, and predictive analytics has significant potential as a platform towards early detection of G. boninense in the future. Springer Nature 2021 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31674/8/Near-Infrared%20Spectroscopy%20for%20Ganoderma%20Boninense.pdf Mas Ira Syafila, Mohd Hilmi Tan and Mohd Faizal, Jamlos and Ahmad Fairuz, Omar and Fatimah, Dzaharudin and Mohd Azraie, Mohd Azmi and Mohd Noor, Ahmad and Nur Akmal, Abd. Rahman and Khairil Anuar, Khairi (2021) Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook. In: Recent Trends in Mechatronics Towards Industry 4.0. Springer Nature, Singapore, pp. 117-126. ISBN 978-981-33-4597-3 https://doi.org/10.1007/978-981-33-4597-3_12 https://doi.org/10.1007/978-981-33-4597-3_12 |
| spellingShingle | TJ Mechanical engineering and machinery Mas Ira Syafila, Mohd Hilmi Tan Mohd Faizal, Jamlos Ahmad Fairuz, Omar Fatimah, Dzaharudin Mohd Azraie, Mohd Azmi Mohd Noor, Ahmad Nur Akmal, Abd. Rahman Khairil Anuar, Khairi Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook |
| title | Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook |
| title_full | Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook |
| title_fullStr | Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook |
| title_full_unstemmed | Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook |
| title_short | Near-infrared spectroscopy for ganoderma boninense detection in oil palm: An outlook |
| title_sort | near-infrared spectroscopy for ganoderma boninense detection in oil palm: an outlook |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/31674/ http://umpir.ump.edu.my/id/eprint/31674/ http://umpir.ump.edu.my/id/eprint/31674/ http://umpir.ump.edu.my/id/eprint/31674/8/Near-Infrared%20Spectroscopy%20for%20Ganoderma%20Boninense.pdf |