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Hyperspectral Sensing in Detecting Asymptomatic Basal Stem Rot Infection in Oil Palm

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  • Dr. Siti Khairunniza-Bejo

Abstract

This issue of the monograph series emphasizes the importance of hyperspectral sensing as a contemporary tool for detecting Ganoderma boninense, a fungal pathogen that causes basal stem rot (BSR) disease in oil palm trees. Hyperspectral sensing detects early infections faster and more accurately than traditional methods, which can be labor-intensive to cover a large plantation area. Unlike traditional methods that primarily depend on analyzing spatial features, it utilizes sophisticated algorithms to capture spectral similarities and identify specific differences associated with various diseases.

Suggested Citation

  • Dr. Siti Khairunniza-Bejo, 2025. "Hyperspectral Sensing in Detecting Asymptomatic Basal Stem Rot Infection in Oil Palm," Regional Professorial Chair Lecture, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), volume 12, number 2025:607, June.
    • Handle: RePEc:sag:serpcl:2025:607
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    File URL: https://www.searca.org/pubs/monographs?pid=607
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