Determining The Effect of Some Mechanical Properties on Color Maturity of Tomato With K-Star, Random Forest and Decision Tree (C4.5) Classification Algorithms
This study was conducted in order to determine the effect of the mechanical properties such as maximum force at the skin rupture point, energy at the skin rupture point and the skin firmness on color maturity of tomato by supervised learning algorithms of data mining. In the present study, a total o...
Main Authors: | Hande Küçükönder, Kubilay Kazım Vursavuş, Fatih Üçkardeş |
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Format: | Article |
Language: | English |
Published: |
Turkish Science and Technology Publishing (TURSTEP)
2015-02-01
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Series: | Turkish Journal of Agriculture: Food Science and Technology |
Subjects: | |
Online Access: | http://www.agrifoodscience.com/index.php/TURJAF/article/view/261 |
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