Ganoderma boninense classification based on near-infrared spectral data using machine learning techniques-Reference-Cited by-同舟云学术

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Ganoderma boninense classification based on near-infrared spectral data using machine learning techniques

Published:2023-01 Issue: Volume:232 Page:104718
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Mohd Hilmi Tan Mas Ira Syafila,Jamlos Mohd Faizal,Omar Ahmad Fairuz,Kamarudin Kamarulzaman,Jamlos Mohd Aminudin

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference86 articles.

1. Selected Agricultural Indicators,2021

2. Economics and Industry Development Division: Overview of Industry,2019

3. The Oil Palm Tree,2011

4. Status of Ganoderma in oil palm;Ariffin,2000

5. Economic impact of Ganoderma incidence on Malaysian oil palm plantation-a case study in Johor;Roslan;Oil Palm Ind. Econ. J.,2012

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2. An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management;Journal of Fungi;2024-06-07

3. New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2023-12

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