A review of ganoderma Basal Stem Rot (BSR) disease detection and mapping using geospatial and advanced techniques

Baharim, Mohd Sharul Aikal; Adnan, Nor Aizam; Mohd, Fazly Amri; Othman, Ahmad Azam; Rahim, Haris Abdul; Azis, Mohamad Haris Abd; Seman, Idris Abu; Izzuddin, Mohamad Anuar; Shahabuddin, Nur Amanina; Nordiana, Abd Aziz

doi:10.1080/10106049.2021.1993350

Cited by 6 publications

(2 citation statements)

References 58 publications

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“…Detection methods for BSR aim to identify the presence of G. boninense in oil palm trees, allowing for timely disease management and the prevention of its spread [ 61 , 97 ]. As early detection is crucial in controlling Ganoderma disease in oil palms, several approaches have been employed to detect BSR: visual inspection, molecular techniques, immunological assays, chemical composition analyses, geospatial technology, remote sensing with advanced techniques such as multispectral and hyperspectral data analyses, machine learning, electrical properties assessments, terrestrial laser scanning (TLS), spatial mapping, intelligent electronic noses (e-noses), image processing, ANNs, CNNs, GANs, tomography techniques, and RADAR sensors [ 98 , 99 , 100 , 101 ]. However, current diagnostic methods lack a direct relationship with pathogenesis, necessitating the development of highly sensitive techniques [ 102 ].…”

Section: Research On Detection Methods For Basal Stem Rotmentioning

confidence: 99%

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

Karunarathna,

Patabendige,

et al. 2024

JoF

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Phytopathogenic Ganoderma species pose a significant threat to global plant health, resulting in estimated annual economic losses exceeding USD (US Dollars) 68 billion in the agriculture and forestry sectors worldwide. To combat this pervasive menace effectively, a comprehensive understanding of the biology, ecology, and plant infection mechanisms of these pathogens is imperative. This comprehensive review critically examines various aspects of Ganoderma spp., including their intricate life cycle, their disease mechanisms, and the multifaceted environmental factors influencing their spread. Recent studies have quantified the economic impact of Ganoderma infections, revealing staggering yield losses ranging from 20% to 80% across various crops. In particular, oil palm plantations suffer devastating losses, with an estimated annual reduction in yield exceeding 50 million metric tons. Moreover, this review elucidates the dynamic interactions between Ganoderma and host plants, delineating the pathogen’s colonization strategies and its elicitation of intricate plant defense responses. This comprehensive analysis underscores the imperative for adopting an integrated approach to Ganoderma disease management. By synergistically harnessing cultural practices, biological control, and chemical treatments and by deploying resistant plant varieties, substantial strides can be made in mitigating Ganoderma infestations. Furthermore, a collaborative effort involving scientists, breeders, and growers is paramount in the development and implementation of sustainable strategies against this pernicious plant pathogen. Through rigorous scientific inquiry and evidence-based practices, we can strive towards safeguarding global plant health and mitigating the dire economic consequences inflicted by Ganoderma infections.

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Section: Research On Detection Methods For Basal Stem Rotmentioning

confidence: 99%

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

Karunarathna,

Patabendige,

et al. 2024

JoF

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“…Despite that, the remote sensing and GIS technologies started to take the place by getting them on the right track to reducing the issues effectively. In-plant disease issues in oil palm, Ganoderma Basal Stem Rot (BSR) disease consider the main killer of oil palm cultivation since its effects from the root of the tree in which difficult to be detected in the early and moderate phase while blockage all the water uptake and nutrition to the tree and make them die eventually (Baharim et al 2021). Detecting the BSR illness and its pattern is much easier with QuickBird satellite images as utilized their visible (RGB) and nearinfrared bands (NIR) with six vegetation indices.…”

Section: Disease Detection and Pest Control In Oil Palm Plantationmentioning

confidence: 99%

A Review: Progression of Remote Sensing (RS) and Geographical Information System (GIS) Applications in Oil Palm Management and Sustainability

Baharim

Adnan²,

Mohd³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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In agriculture management and cultivation, many researchers tend to introduce and implement new methods or techniques to improve the sectors in order to sustain a good production from the sectors. The oil palm plantation is one of the sectors that have received an improvement in development in many aspects. Thus, this paper reviews in detail the recent expansion of oil palm management and sustainability through the latest application technologies specifically in Remote Sensing (RS) and Geographical Information System (GIS) knowledge which covered land classification and crop changes, disease detection and pest control, age estimation for oil palm, above-ground biomass (AGB) and carbon estimation, tree counting for oil palm assessment and land suitability with soil nutrients. In the end, it concluded the most significant GIS and RS tools for oil palm management come from the implementation of Machine Learning (ML) and Deep Learning (DL) knowledge in it which can be improved over time through recent technologies and variation analysis to enhance the results.

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Optimization of machine learning classifier using multispectral data in assessment of Ganoderma basal stem rot (BSR) disease in oil palm plantation

Baharim,

Adnan,

Mohd

et al. 2023

Int. j. inf. tecnol.

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A review of ganoderma Basal Stem Rot (BSR) disease detection and mapping using geospatial and advanced techniques

Cited by 6 publications

References 58 publications

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

A Review: Progression of Remote Sensing (RS) and Geographical Information System (GIS) Applications in Oil Palm Management and Sustainability

Optimization of machine learning classifier using multispectral data in assessment of Ganoderma basal stem rot (BSR) disease in oil palm plantation

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