PROFILE
UPM's Staff Profile
PROF. MADYA DR. SITI KHAIRUNNIZA BINTI BEJO
PENGARAH
FACULTY OF ENGINEERING
PROFESSIONAL
NAME :
(Prof. Madya Dr.) Siti Khairunniza Binti Bejo
POSITION :
Pengarah
ENTITY :
Faculty Of Engineering
PUBLICATION
2021:
Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees
2021:
Biomass and Yield Estimation of MR219 and MR220 of Paddy Varieties using Terrestrial Laser Scanning Data
2021:
Classification of Non-Infected and Infected with the Basal Stem Rot Disease using Thermal Images and SMOTE Imbalanced Approach
2021:
Plot-Based Classification of Macronutrient Levels in Oil Palm Trees with Landsat-8 Images and Machine Learning
2021:
Relationship of Oil Palm Crown Features Extracted Using Terrestrial Laser Scanning for Basal Stem Rot Disease Classification
2021:
Artificial intelligence for spectral classification to identify the basal stem rot disease in oil palm using dielectric spectroscopy measurements
2021:
Deep Learning Semantic Segmentation for Water Level Detection Using Surveillance Camera
2021:
Non-destructive detection of asymptomatic Ganoderma boninense infection of oil palm seedlings using NIR-hyperspectral data and support vector machine
2021:
Temporal Changes Analysis of Soil Properties Associated with Ganoderma boninense Pat. Infection in Oil Palm Seedlings in a Controlled Environment
2021:
Detecting BSR-infected Oil Palm Seedlings using Thermal Imaging Technique
2021:
Differences Between Healthy and Ganoderma boninense Infected Oil Palm Seedlings Using Spectral Reflectance of Young Leaf Data
2021:
Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data
2021:
Address Trainee Counselors' Perplexities: Integrating Predictors of Self-Efficacy into Counseling Ethics Education
2021:
Urban forest research in Malaysia: A systematic review
2020:
Development of an Automatic Rubber Seed Sowing System with Machine Vision Assistance
2020:
Effective Local Leadership to a Successful Council in the State of Terengganu, Malaysia
2020:
Development of a machine vision system for rice seed inspection system
2020:
Study of the oil palm crown characteristics associated with Basal Stem Rot (BSR) disease using stratification method of point cloud data
2020:
The Use of LiDAR-derived DEM in Flood Applications: A Review
2020:
Current and Prospective Strategies on Detecting and Managing Colletotrichum falcatum Causing Red Rot of Sugarcane
2020:
A comparative study on dimensionality reduction of dielectric spectral data for the classification of basal stem rot (BSR) disease in oil palm
2020:
Early detection of Ganoderma boninense in oil palm 3 seedlings using support vector machines
2020:
Extensive genetic variation at the sr22 wheat stem rust resistance gene locus in the grasses revealed through evolutionary genomics and functional analyses
2020:
Application of Ground-Based LiDAR for Analysing oil palm canopy properties on the occurrence of Basal Stem Rot (BSR) Disease
2020:
Correlation between physicochemical changes of seeded and seedless watermelons during postharvest storage
2020:
MHD stagnation-point flow and heat transfer past a stretching/shrinking sheet in a hybrid nanofluid with induced magnetic field
2020:
Classification of Basal Stem Rot Disease in Oil Palm Plantations Using Terrestrial Laser Scanning Data and Machine Learning
2020:
Comparison of laser backscattering imaging and computer vision system for grading of seedless watermelons
2020:
Image Segmentation Methods for Flood Monitoring System