S. Bejo

发表

Spot-5 multispectral image for 60-75 days of rice mapping

A. Shariff, Mohd Amiruddin Ramli, S. Bejo, 2014 .

Classification for non infected and infected ganoderma boninense of oil palm trees using ALOS PALSAR-2 backscattering coefficient

A. Shariff, A. Shariff, F. Muharam, 2018, IOP Conference Series: Earth and Environmental Science.

Application of thermal imaging for plant disease detection

A. Shariff, F. Muharam, S. Bejo, 2020, IOP Conference Series: Earth and Environmental Science.

Historical Analysis of the Land Movement in Landslide Area Using Elastic Image Registration and Conditional Statement Approach

A. Shariff, S. Bejo, 2011 .

Colour Extraction of Agarwood Images for Fuzzy C-Means Classification

W. I. Ismail, S. Bejo, M. Amin, 2012 .

Change detection studies in Matang Mangrove Forest area, Perak

A. Shariff, H. Shafri, M. Jahari, 2011 .

Comparison of laser backscattering imaging and computer vision system for grading of seedless watermelons

N. Hashim, R. Shamsudin, S. Bejo, 2019, Journal of Food Measurement and Characterization.

Current and Prospective Strategies on Detecting and Managing Colletotrichumfalcatum Causing Red Rot of Sugarcane

Y. Siddiqui, S. Bejo, Z. Rahman, 2020, Agronomy.

Husk Detection Using Thermal Imaging Technology

S. Bejo, Norazlida Jamil, 2014 .

Innovative non-destructive technologies for quality monitoring of pineapples: Recent advances and applications

M. Jahari, N. Hashim, S. Bejo, 2023, Trends in Food Science & Technology.

Quality evaluation of watermelon using laser-induced backscattering imaging during storage

Siti Khairunniza Bejo, Rosnah Shamsudin, Norhashila Hashim, 2017 .

Rapid and nondestructive techniques for internal and external quality evaluation of watermelons: A review

Siti Khairunniza Bejo, Rosnah Shamsudin, Norhashila Hashim, 2017 .

Real-time oil palm FFB ripeness grading system based on ANN, KNN and SVM classifiers

Siti Khairunniza Bejo, Aouache Mustapha, Abdul Rashid Mohamed Shariff, 2018, IOP Conference Series: Earth and Environmental Science.

Classification of Non-Infected and Infected with Basal Stem Rot Disease Using Thermal Images and Imbalanced Data Approach

A. Shariff, F. Muharam, S. Bejo, 2021, Agronomy.

Early detection of diseases in plant tissue using spectroscopy – applications and limitations

Samsuzana Abd Aziz, Siti Khairunniza Bejo, Idris Abu Seman, 2018 .

Application of artificial neural network in predicting crop yield: a review

Wan, Ishak, Siti, 2014 .

An Overview of the System of Rice Intensification for Paddy Fields of Malaysia

R. Shamshiri, D. Ahmad, H. Man, 2018 .

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

Siti Khairunniza Bejo, Farrah Melissa Muharam, Abdul Rashid Mohamed Shariff, 2021, Agronomy.

Evaluations of soil resistivity in relation to basal stem rot incidences using soil moisture sensor

D. Ahmad, F. Hashim, S. Bejo, 2019 .

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

M. Jahari, I. Yule, F. Muharam, 2021, Basrah Journal of Agricultural Sciences.

Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods

Joon Huang Chuah, Por Lip Yee, Y. Hum, 2023, PeerJ Computer Science.

Relationship of Oil Palm Crown Features Extracted Using Terrestrial Laser Scanning for Basal Stem Rot Disease Classification

D. Ahmad, A. F. Abdullah, M. S. Kassim, 2021, Basrah Journal of Agricultural Sciences.

Severity of Ganoderma boninense disease classification using SAR data

A. Shariff, F. Muharam, S. Bejo, 2018 .

Determination of Chokanan mango sweetness (Mangifera indica) using non-destructive image processing technique

Siti Khairunniza Bejo, S. Bejo, Syahidah Kamaruddin, 2014 .

Deep Learning Semantic Segmentation for Water Level Estimation Using Surveillance Camera

N. A. Muhadi, A. F. Abdullah, A. Mijić, 2021, Applied Sciences.

Artificial intelligence for spectral classification to identify the basal stem rot disease in oil palm using dielectric spectroscopy measurements

S. Bejo, Idris Abu Seman, A. Y. Khaled, 2021, Tropical Plant Pathology.

Artificial intelligence for spectral classification to identify the basal stem rot disease in oil palm using dielectric spectroscopy measurements

S. Bejo, Idris Abu Seman, A. Y. Khaled, 2021, Tropical Plant Pathology.

Correlation between physicochemical changes of seeded and seedless watermelons during postharvest storage

N. Hashim, R. Shamsudin, S. Bejo, 2020, International Journal of Postharvest Technology and Innovation.

Detecting BSR-infected Oil Palm Seedlings using Thermal Imaging Technique

S. Bejo, N. Ithnin, Ghaibulna Abdol Lajis, 2021, Basrah Journal of Agricultural Sciences.

Image Segmentation Methods for Flood Monitoring System

Nur Atirah Muhadi, Ahmad Fikri Abdullah, Siti Khairunniza Bejo, 2020, Water.

Artificial neural network in predicting rice yield

Wan Ishak Wan Ismail, Siti Khairunniza Bejo, Samihah Mustaffha, 2012 .