data31

<p>Dataset of characteristics of native Mexican corn cobs obtained from the
"Proyecto Global de Maíces Nativos" considering the most relevant variables
and a subset of observations for the examples.</p>

datasets

A model that provides researchers with a powerful tool for the classification
and study of native corn by aiding in the identification of racial complexes
which are fundamental to Mexico's agriculture and culture. This package has been
developed based on data collected by "Proyecto Global de Maíces Nativos México",
which has conducted exhaustive surveys across the country to document the
qualitative and quantitative characteristics of different types of native maize.
The trained model uses a robust and diverse dataset, enabling it to achieve an
80% accuracy in classifying maize racial complexes. The characteristics included
in the analysis comprise geographic location, grain and cob colors, as well as
various physical measurements, such as lengths and widths.

Rafael Nieves-Alvarez

imanr

Identify the Racial Complex of Native Corns from Mexico

Arturo Sanchez-Porras

Aline Romero-Natale

Otilio Arturo Acevedo-Sandoval

data31 function

<p>A data frame with 31 observations and 61 variables.</p>

Format

Data to show the functioning of imanr functions — data31

Data to show the functioning of imanr functions

data31: Data to show the functioning of imanr functions

Description

Usage

Arguments

Format

References

Examples