Comparative morphological analysis of cherry tomato fruits from three cropping systems
نویسندگان
چکیده
منابع مشابه
Learning Morphological Data of Tomato Fruits
Three methods for attribute reduction in conjunction with Neural Networks, Naive Bayes, and k-Nearest Neighbor classifiers are investigated here when classifying a particularly challenging data set. The difficulty encountered with this data set is mainly due to the high dimensionality and to some inbalance between classes. As a result of this research, a subset of only 8 attributes (out of 34) ...
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ژورنال
عنوان ژورنال: Scientia Agricola
سال: 2005
ISSN: 0103-9016
DOI: 10.1590/s0103-90162005000300015