Visualization of Design of Experiments from the 'agricolae' package with 'ggplot2' framework
    The user provides an experiment design from the 'agricolae' package, calls the corresponding function and will receive a 
    visualization with 'ggplot2' based functions that are specific for each design. As there are many different designs, each design is tested on its type.
    The output can be modified with standard 'ggplot2' commands or with other packages with 'ggplot2' function extensions.

Datasets from books, papers, and websites related to
    agriculture.  Example graphics and analyses are included. Data come
    from small-plot trials, multi-environment trials, uniformity trials,
    yield monitors, and more.

Functions to calculate Gray Level Co-occurrence Matrix(GLCM), RGB-based Vegetative Index(RGB VI) and Normalized Difference Vegetation Index(NDVI) family image features. GLCM calculations are based on Haralick (1973) <doi:10.1109/TSMC.1973.4309314>.

Example software for the analysis of data from designed 
	experiments, especially agricultural crop experiments. The basics 
	of the analysis of designed experiments are discussed 
	using real examples from agricultural field trials. 
	A range of statistical methods using a range
	of R statistical packages are  exemplified . The experimental
	data is made available as separate data sets for each example
	and the R analysis code is made available as example code.
	The example code can be readily extended, as required.

Utilities designed to make the analysis of field trials easier and
 more accessible for everyone working in plant breeding. It provides a simple
 and intuitive interface for conducting single and multi-environmental trial
 analysis, with minimal coding required. Whether you're a beginner or an
 experienced user, 'agriutilities' will help you quickly and easily carry out
 complex analyses with confidence. With built-in functions for fitting Linear
 Mixed Models, 'agriutilities' is the ideal choice for anyone who wants to save
 time and focus on interpreting their results.
 Some of the functions require the R package 'asreml' for the 'ASReml' software,
 this can be obtained upon purchase from 'VSN' international <https://vsni.co.uk/software/asreml-r/>.