A. Y. Khaled

发表

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

Idris Abu Seman, M. Izzuddin, A. Y. Khaled, 2018, Industrial Crops and Products.

Mechanisation of Agricultural Production in Developing Countries

Guangnan Chen, N. Hashim, C. Gomes, 2018 .

Impedance Sensor Probe for Degradation Assessment of Cooking Oil

S. A. Aziz, A. Y. Khaled, F. Rokhani, 2014 .

Application of Computational Intelligence in Describing the Drying Kinetics of Persimmon Fruit (Diospyros kaki) During Vacuum and Hot Air Drying Process

K. Selvi, D. Herák, A. Kabutey, 2020, Processes.

Emerging nondestructive approaches for meat quality and safety evaluation-A review.

Chadwick A. Parrish, A. Adedeji, A. Y. Khaled, 2021, Comprehensive reviews in food science and food safety.

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

Samsuzana Abd Aziz, Idris Abu Seman, Siti Khairunniza-Bejo, 2018, Comput. Electron. Agric..

Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5–30 MHz

A. Y. Khaled, S. Abd Aziz, F. Rokhani, 2022, PloS one.

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

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

Dielectric Spectroscopy of Palm Olein During Batch Deep Frying and Their Relation with Degradation Parameters.

N. Hashim, D. Jamaludin, A. Y. Khaled, 2019, Journal of food science.

Recent Advances in Reducing Food Losses in the Supply Chain of Fresh Agricultural Produce

Abraham Kabutey, Barbara Sturm, Guangnan Chen, 2020, Processes.

Capacitive sensor probe to assess frying oil degradation

Samsuzana Abd Aziz, Fakhrul Zaman Rokhani, Alfadhl Yahya Khaled, 2015 .

Non-Destructive Hyperspectral Imaging and Machine Learning-Based Predictive Models for Physicochemical Quality Attributes of Apples during Storage as Affected by Codling Moth Infestation

K. D. Donohue, Nader Ekramirad, A. Y. Khaled, 2023, Agriculture.

Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection

K. D. Donohue, Lauren E. Doyle, A. Adedeji, 2021, Foods.

Classification of Codling Moth-Infested Apples Using Sensor Data Fusion of Acoustic and Hyperspectral Features Coupled with Machine Learning

K. D. Donohue, Nader Ekramirad, A. Y. Khaled, 2023, Agriculture.

Non-destructive detection of codling moth infestation in apples using acoustic impulse response signals

K. D. Donohue, Lauren E. Doyle, Chadwick A. Parrish, 2022, Biosystems Engineering.

Development of pattern recognition and classification models for the detection of vibro-acoustic emissions from codling moth infested apples

Kevin D. Donohue, Akinbode A. Adedeji, Raul T. Villanueva, 2021 .

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.

A comparative study on dimensionality reduction of dielectric spectral data for the classification of basal stem rot (BSR) disease in oil palm

Siti Khairunniza-Bejo, Nazmi Mat Nawi, Alfadhl Yahya Khaled, 2020, Comput. Electron. Agric..

Development and Evaluation of an Impedance Spectroscopy Sensor to Assess Cooking Oil Quality

Samsuzana Abd Aziz, Fakhrul Zaman Rokhani, Alfadhl Yahya Khaled, 2014 .

Electrical Impedance Spectroscopy for Moisture and Oil Content Prediction in Oil Palm (Elaeis guineensis Jacq.) Fruitlets

D. Jamaludin, A. Y. Khaled, S. Abd Aziz, 2022, Plants.