Rice (Cammeo and Osmancik)

Donated on 10/5/2019

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.

Dataset Characteristics

Multivariate

Subject Area

Biology

Associated Tasks

Classification

Feature Type

Real

# Instances

3810

# Features

7

Dataset Information

Additional Information

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.

Has Missing Values?

No

Introductory Paper

Classification of Rice Varieties Using Artificial Intelligence Methods

By Ilkay Cinar, M. Koklu. 2019

Published in International Journal of Intelligent Systems and Applications in Engineering

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
AreaFeatureIntegerReturns the number of pixels within the boundaries of the rice grainpxno
PerimeterFeatureContinuousCalculates the circumference by calculating the distance between pixels around the boundaries of the rice grainpxno
Major_Axis_LengthFeatureContinuousThe longest line that can be drawn on the rice grain, i.e. the main axis distance, givesno
Minor_Axis_LengthFeatureContinuousThe shortest line that can be drawn on the rice grain, i.e. the small axis distance, givesno
EccentricityFeatureContinuousIt measures how round the ellipse, which has the same moments as the rice grain, isno
Convex_AreaFeatureIntegerReturns the pixel count of the smallest convex shell of the region formed by the rice grainno
ExtentFeatureContinuousReturns the ratio of the region formed by the rice grain to the bounding boxno
ClassTargetBinaryCammeo and Osmancikno

0 to 8 of 8

Additional Variable Information

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

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download
1 citations
464823 views

Keywords

image processing

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy