Non-Destructive Detection of Asymptomatic Ganoderma boninense Infection of Oil Palm Seedlings Using NIR-Hyperspectral Data and Support Vector Machine

Machine-Learning Approach Using SAR Data for the Classification of Oil Palm Trees That Are Non-Infected and Infected with the Basal Stem Rot Disease

(2021) Izrahayu Che Hashim et al.   Agronomy-Basel

Ganoderma boninense Disease Detection by Near-Infrared Spectroscopy Classification: A Review

(2021) Mas Ira Syafila Mohd Hilmi Tan et al.   SENSORS

Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees

(2021) Nur A. Husin et al.   PRECISION AGRICULTURE

Machine Learning in Agriculture: A Comprehensive Updated Review

(2021) Lefteris Benos et al.   SENSORS

Detecting BSR-infected Oil Palm Seedlings using Thermal Imaging Technique

(2021) Siti N. Á. M. Johari et al.   Basrah Journal of Agricultural Sciences

Differences Between Healthy and Ganoderma boninense Infected Oil Palm Seedlings Using Spectral Reflectance of Young Leaf Data

(2021) Aiman N.N. Azmi et al.   Basrah Journal of Agricultural Sciences

Application of Ground-Based LiDAR for Analysing Oil Palm Canopy Properties on the Occurrence of Basal Stem Rot (BSR) Disease

(2020) Nur A. Husin et al.   Scientific Reports

The Potential of Spectral Measurements for Identifying Glyphosate Application to Agricultural Fields

(2020) Elke Bloem et al.   Agronomy-Basel

Classification of Basal Stem Rot Disease in Oil Palm Plantations Using Terrestrial Laser Scanning Data and Machine Learning

(2020) Nur A. Husin et al.   Agronomy-Basel

Early Detection of Ganoderma boninense in Oil Palm Seedlings Using Support Vector Machines

(2020) Aiman Nabilah Noor Azmi et al.   Remote Sensing

Plant disease recognition using fractional-order Zernike moments and SVM classifier

(2019) Parminder Kaur et al.   NEURAL COMPUTING & APPLICATIONS

Monitoring plant diseases and pests through remote sensing technology: A review

(2019) Jingcheng Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Spectral features selection and classification of oil palm leaves infected by Basal stem rot (BSR) disease using dielectric spectroscopy

(2018) Alfadhl Yahya Khaled et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art

(2018) A.-K. Mahlein et al.   Annual Review of Phytopathology

Development of classification models for basal stem rot (BSR) disease in oil palm using dielectric spectroscopy

(2018) Alfadhl Yahya Khaled et al.   INDUSTRIAL CROPS AND PRODUCTS

Classifying the severity of basal stem rot disease in oil palm plantations using WorldView-3 imagery and machine learning algorithms

(2018) Heri Santoso et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Random Forest classification model of basal stem rot disease caused by Ganoderma boninense in oil palm plantations

(2017) Heri Santoso et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

The development of spectral indices for early detection of Ganoderma disease in oil palm seedlings

(2017) Mohamad Anuar Izzuddin et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Early Detection of Ganoderma Basal Stem Rot of Oil Palms Using Artificial Neural Network Spectral Analysis

(2017) Parisa Ahmadi et al.   PLANT DISEASE

The Phenylpropanoid Pathway and Lignin in Defense against Ganoderma boninense Colonized Root Tissues in Oil Palm (Elaeis guineensis Jacq.)

(2017) Nisha T. Govender et al.   Frontiers in Plant Science

Advances in the Interpretation of Tomographic Images as an Early Detection Method of Oil Palm Affected by Basal Stem Rot in Colombia

(2016) M. Arango et al.   PLANT DISEASE

Geospatial technologies for detection and monitoring of Ganoderma basal stem rot infection in oil palm plantations: a review on sensors and techniques

(2016) Maryam Khosrokhani et al.   Geocarto International

UAVs challenge to assess water stress for sustainable agriculture

(2015) J. Gago et al.   AGRICULTURAL WATER MANAGEMENT

Detection of fungal infection in almond kernels using near-infrared reflectance spectroscopy

(2015) Pei-Shih Liang et al.   BIOSYSTEMS ENGINEERING

Polyclonal antibodies of Ganoderma boninense isolated from Malaysian oil palm for detection of basal stem rot disease

(2014) A. Z. Madihah et al.   AFRICAN JOURNAL OF BIOTECHNOLOGY

Mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm

(2014) Shohreh Liaghat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms

(2014) Shohreh Liaghat et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Potential applications of remote sensing in horticulture—A review

(2013) K. Usha et al.   SCIENTIA HORTICULTURAE

Detection and control of Ganoderma boninense: strategies and perspectives

(2013) Roozbeh Hushiarian et al.   SpringerPlus

Development of spectral indices for detecting and identifying plant diseases

(2012) A.-K. Mahlein et al.   REMOTE SENSING OF ENVIRONMENT

Spectral discrimination of healthy and Ganoderma-infected oil palms from hyperspectral data

(2011) Helmi Z. M. Shafri et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Detection of stressed oil palms from an airborne sensor using optimized spectral indices

(2011) Helmi Zulhaidi M. Shafri et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Mapping and identifying basal stem rot disease in oil palms in North Sumatra with QuickBird imagery

(2010) Heri Santoso et al.   PRECISION AGRICULTURE

Evaluation of Oil-Palm Fungal Disease Infestation with Canopy Hyperspectral Reflectance Data

(2010) Camille C. Lelong et al.   SENSORS

Intelligent electronic nose system for basal stem rot disease detection

(2009) M.A. Markom et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Modified vegetation indices for Ganoderma disease detection in oil palm from field spectroradiometer data

(2009) M. Izzuddin Anuar   Journal of Applied Remote Sensing