UC Irvine
ML Repository
Theme

Rice (Cammeo and Osmancik)

Download(167.7 KB)

About

A total of 3810 rice grain's images were taken for the two species, processed and feature inferences were made. 7 morphological features were obtained for each grain of rice. Among the certified rice grown in TURKEY, the Osmancik species, which has a large planting area since 1997 and the Cammeo species grown since 2014 have been selected for the study. When looking at the general characteristics of Osmancik species, they have a wide, long, glassy and dull appearance. When looking at the general characteristics of the Cammeo species, they have wide and long, glassy and dull in appearance. A total of 3810 rice grain's images were taken for the two species, processed and feature inferences were made. 7 morphological features were obtained for each grain of rice. Variables Info: 1.) Area: Returns the number of pixels within the boundaries of the rice grain. 2.) Perimeter: Calculates the circumference by calculating the distance between pixels around the boundaries of the rice grain. 3.) Major Axis Length: The longest line that can be drawn on the rice grain, i.e. the main axis distance, gives. 4.) Minor Axis Length: The shortest line that can be drawn on the rice grain, i.e. the small axis distance, gives. 5.) Eccentricity: It measures how round the ellipse, which has the same moments as the rice grain, is. 6.) Convex Area: Returns the pixel count of the smallest convex shell of the region formed by the rice grain. 7.) Extent: Returns the ratio of the regionformed by the rice grain to the bounding box pixels. 8.) Class: Cammeo and Osmancik rices Class labels: Cammeo and Osmancik
Subject Area
Biology
Instances
3,810
Features
7
Data Types
Multivariate
Tasks
Classification
Feature Types
Continuous

Features

NameRoleTypeUnitsMissing ValuesDescription

Introductory Paper

Classification of Rice Varieties Using Artificial Intelligence Methods
Ilkay Cinar, M. Koklu. 2019.
International Journal of Intelligent Systems and Applications in Engineering

Additional Metadata

Authors
Year Created
2019
License
CC BY 4.0