Quantity :1
Title: Hyperspectral sensing in detecting asymptomatic basal stem rot infection in oil palm - SEARCA Professorial Chair Lecture Monograph No. 12
Author : Siti Khairunniza-Bejo
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.
Subject:
Ganoderma boninense; oil palm; basal stem rot; hyperspectral sensing
Material : Book
Publisher : SEARCA
Publication Date : 2025
ISSN : 2672-2313 (print); 2672-2305 (electronic)
Internet Resource: https://www.searca.org/pubs/monographs?pid=607
PR-MS
2025
SEARCA RPCL 2025 12
SEARCA Library
Printed; electronic