Towards a Real-Time Oil Palm Fruit Maturity System Using Supervised Classifiers Based on Feature Analysis

Towards a Real-Time Oil Palm Fruit Maturity System Using Supervised Classifiers Based on Feature Analysis

Remote sensing sensors-based image processing techniques have been widely applied in non-destructive quality inspection systems of agricultural crops. Image processing and analysis were performed with computer vision and external grading systems by general and standard steps, such as image acquisiti...

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Bibliographic Details
Main Authors: Meftah Salem M. Alfatni, Siti Khairunniza-Bejo, Mohammad Hamiruce B. Marhaban, Osama M. Ben Saaed, Aouache Mustapha, Abdul Rashid Mohamed Shariff
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Agriculture
Subjects:
external grading system
oil palm FFB
machine learning
supervised classifiers
quality inspection
remote sensing
Online Access:https://www.mdpi.com/2077-0472/12/9/1461

Internet

https://www.mdpi.com/2077-0472/12/9/1461

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