Wheat Kernels

Donated on 8/2/2020

Measurements of morphological descriptors of wheat kernels from Punjab State. A machine Learning based technique was used to extract 15 features, all are real valued attributes

Dataset Characteristics

Multivariate

Subject Area

Computer Science

Associated Tasks

Classification

Feature Type

Real

# Instances

314

# Features

15

Dataset Information

Additional Information

The examined group comprised kernels of wheat : PBW-550U randomly selected for the experiment. High Quality Manual Visualisation of the external Kernel. It is non-destructive technique.The images were recorded using Basler Sca-17fc industrial graded color camera. The dataset can be used for tasks of classification.

Has Missing Values?

No

Variable Information

Area, Major Axis Length, Minor Axis Length, Perimeter, Length, Width, Thinness Ratio, Aspect Ratio, Rectangular Aspect ratio, Area Ratio, Distance Max,Distance Min, Distance Ratio, Std Deviation,Mean

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