A Non-Invasive Computer-Based Pomelo Grade Classifier Using Multiclass Support Vector Machine
Author:
Affiliation:
1. School of Graduate Studies, Mapúa University,Manila,Philippines
2. School of Electrical, Electronics and Computer Engineering, Mapúa University,Manila,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10269794/10269801/10269861.pdf?arnumber=10269861
Reference11 articles.
1. Non-Destructive Identification and Estimation of Granulation in Honey Pomelo Using Visible and Near-Infrared Transmittance Spectroscopy Combined with Machine Vision Technology
2. Classification of Cane Sugar Based on Physical Characteristics Using SVM
3. Maturity detection and volume estimation of apricot using image processing technique
4. Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning
5. Determination of Ripening Stages and Nutritional Content of Tomatoes Using Color Space Conversion Algorithm, Processed Through Raspberry Pi
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