rice: Rice Dataset Commeo and Osmancik

In BioDataScience-Course/BioDataScience2: A Series of Learnr Documents for Biological Data Science 2

Rice Dataset Commeo and Osmancik

Description

A total of 3810 images of rice grains were taken for two varieties (Cammeo and Osmancik). The images are then processed and feature were extracted in a table. Seven morphological features were obtained for each grain of rice.

Usage

rice

Format

A data frame with 8 variables and 3810 observations:

area

The number of pixels within the boundaries of the rice grain.

perimeter

The perimeter of the rice grain.

major_axis_length

The longest line that can be drawn on the rice grain.

minor_axis_length

The shortest line that can be drawn on the rice grain.

eccentricity

It measures how round the ellipse, which has the same moments as the rice grain.

convex_area

The pixel count of the smallest convex hull of the region formed by the rice grain.

extent

the ratio of the region formed by the rice grain to the bounding box pixels.

class

A factor with two levels: "Cammeo", and "Osmancik".

Source

Cinar, I. and Koklu, M. (2019). Classification of Rice Varieties Using Artificial Intelligence Methods. International Journal of Intelligent Systems and Applications in Engineering, vol.7, no.3 (Sep. 2019), pp.188-194. doi:10.18201/ijisae.2019355381

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