About me

An overview of my research activities is available here:
ORCID iD iconhttps://orcid.org/0000-0002-8448-0499

Background

The goal of this tutorial is to introduce practical aspects of digital image analysis/processing (DIP/DIA) principles in R.

Structure

A section of the tutorials introduces the basics of data manipulation in R for the novice users while the other sections contains tutorials related to DIP. The tutorial is organized as follows:

  1. Manipulating data in R.
  2. Data storage schema.
  3. Image fusion
  4. Image classification
  5. Maize yield prediction

Resources

We will use R software. R software is opensource and can be downloaded from https://cran.r-project.org/. A suitable R user interface that we shall use is R Studio. First download and install the latest version of R followed by the editor (RStudio). Other editors are available and you are free to use depending on your preference or previous experience. You will also need Git for version control in Rstudio and your Github account. For more details on version control with Git in rstudio click here.

References

Caers, J. (2005). Petroleum geostatistics. Society of Petroleum Engineers Richardson

Created 14th May 2021 Copyright © Benson Kenduiywo, Inc. All rights reserved.