Rice (Cammeo and Osmancik)
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
| Name | Role | Type | Units | Missing Values | Description |
|---|---|---|---|---|---|
| Area | Feature | Integer | px | No | |
| Perimeter | Feature | Continuous | px | No | |
| Major_Axis_Length | Feature | Continuous | - | No | |
| Minor_Axis_Length | Feature | Continuous | - | No | |
| Eccentricity | Feature | Continuous | - | No | |
| Convex_Area | Feature | Integer | - | No | |
| Extent | Feature | Continuous | - | No | |
| Class | Target | Binary | - | No |
Introductory Paper
Classification of Rice Varieties Using Artificial Intelligence Methods
Ilkay Cinar, M. Koklu. 2019.
International Journal of Intelligent Systems and Applications in Engineering