Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Aiman Nabilah Noor Azmi"'
1
Akademický článek
Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data
Autor: Aiman Nabilah Noor Azmi, Siti Khairunniza-Bejo, Mahirah Jahari, Farrah Melissa Muharram, Ian Yule
Publikováno v: Applied Sciences, Vol 11, Iss 24, p 11798 (2021)
In Malaysia, oil palm industry has made an enormous contribution to economic and social prosperity. However, it has been affected by basal stem rot (BSR) disease caused by Ganoderma boninense (G. boninense) fungus. The conventional practice to detect
Externí odkaz: https://doaj.org/article/2393fbed2bf0471f9b4ebec2c4776758
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2
Akademický článek
Non-Destructive Detection of Asymptomatic Ganoderma boninense Infection of Oil Palm Seedlings Using NIR-Hyperspectral Data and Support Vector Machine
Autor: Siti Khairunniza-Bejo, Muhamad Syahir Shahibullah, Aiman Nabilah Noor Azmi, Mahirah Jahari
Publikováno v: Applied Sciences, Vol 11, Iss 22, p 10878 (2021)
Breeding programs to develop planting materials resistant to G. boninense involve a manual census to monitor the progress of the disease development associated with various treatments. It is prone to error due to a lack of experience and subjective j
Externí odkaz: https://doaj.org/article/328737fada684e688a35b6aa2bd0893a
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3
Akademický článek
Early Detection of Ganoderma boninense in Oil Palm Seedlings Using Support Vector Machines
Autor: Aiman Nabilah Noor Azmi, Siti Khairunniza Bejo, Mahirah Jahari, Farrah Melissa Muharam, Ian Yule, Nur Azuan Husin
Publikováno v: Remote Sensing, Vol 12, Iss 23, p 3920 (2020)
Ganodermaboninense (G. boninense) is a fungus that causes one of the most destructive diseases in oil palm plantations in Southeast Asia called basal stem rot (BSR), resulting in annual losses of up to USD 500 million. The G. boninense infects both m
Externí odkaz: https://doaj.org/article/d1491e167da149a9885af233319d099b
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5
Differences Between Healthy and Ganoderma boninense Infected Oil Palm Seedlings Using Spectral Reflectance of Young Leaf Data
Autor: Mahirah Jahari, Aiman Nabilah Noor Azmi, Ian J. Yule, Siti Khairunniza Bejo, Farrah Melissa Muharam
Publikováno v: Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ, Vol 34 (2021)
Ganoderma boninense (G.boninense) is the causal agent of basal stem rot (BSR) which significantly reduced the productivity of oil palm plantations in Southeast Asia. At early stage, the disease did not show any physical symptoms that could be seen wi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf8d4ab2714977200d4a583ca076229
https://doi.org/10.37077/25200860.2021.34.sp1.17
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6
Temporal Changes Analysis of Soil Properties Associated with Ganoderma boninense Pat. Infection in Oil Palm Seedlings in a Controlled Environment
Autor: Aiman Nabilah Noor Azmi, Aimrun Wayayok, Siti Khairunniza-Bejo, Naoshi Kondo, Fazirulhisyam Hashim, Mohd H. A. Aziz
Publikováno v: Agronomy, Vol 11, Iss 2279, p 2279 (2021)
Agronomy
Volume 11
Issue 11
Basal stem rot (BSR) disease of oil palm (Elaeis guineensis Jacq.) spreads through the contact of the plant roots with Ganoderma boninense (G. boninense) Pat. inoculum in the soil. The soil properties can be altered by growing seedlings with or witho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de96ec3cc0d7995937469e2bc8290ebb
https://www.mdpi.com/2073-4395/11/11/2279
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7
Early Detection of Ganoderma boninense in Oil Palm Seedlings Using Support Vector Machines
Autor: Ian J. Yule, Farrah Melissa Muharam, Aiman Nabilah Noor Azmi, Nur A. Husin, Mahirah Jahari, Siti Khairunniza Bejo
Publikováno v: Remote Sensing, Vol 12, Iss 3920, p 3920 (2020)
Remote Sensing; Volume 12; Issue 23; Pages: 3920
Ganodermaboninense (G. boninense) is a fungus that causes one of the most destructive diseases in oil palm plantations in Southeast Asia called basal stem rot (BSR), resulting in annual losses of up to USD 500 million. The G. boninense infects both m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16baed5b513b9d428f026e7082db1dce
https://www.mdpi.com/2072-4292/12/23/3920
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8
Non-Destructive Detection of Asymptomatic Ganoderma boninense Infection of Oil Palm Seedlings Using NIR-Hyperspectral Data and Support Vector Machine
Autor: Aiman Nabilah Noor Azmi, Siti Khairunniza-Bejo, Mahirah Jahari, Muhamad Syahir Shahibullah
Publikováno v: Applied Sciences, Vol 11, Iss 10878, p 10878 (2021)
Applied Sciences
Volume 11
Issue 22
Breeding programs to develop planting materials resistant to G. boninense involve a manual census to monitor the progress of the disease development associated with various treatments. It is prone to error due to a lack of experience and subjective j
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36239b402d44df73857adae0eb2e37ae
https://doi.org/10.3390/app112210878
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