Prediction of Minimum Temperature for Frost Forecasting in Agriculture

A compilation of empirical methods used by farmers and agronomic engineers to predict the minimum temperature to detect a frost night. These functions use variables such as environmental temperature, relative humidity, and dew point. See < http://sedici.unlp.edu.ar/handle/10915/72102> < http://www.fao.org/docrep/008/y7223e/y7223e0b.htm#bm11.8> for details.

Prediction of minimum temperature for frost forecasting in agriculture

Description

This package contains a compilation of empirical methods used by farmers and agronomic engineers to predict the minimum temperature to detect a frost event.

These functions use variables such as environmental temperature, relative humidity, and dew point.

Installation

If you don't have package devtools installed, run the following commands.

install.packages("devtools")

library(devtools)

To install the package from the GitHub repo, run

install_github("anadiedrichs/frost")

More info

You can have more information about how to use this package in the Introduction vignette

How to cite this package

> citation("frost")

To cite package ‘frost’ in publications use:

Ana Laura Diedrichs (2018). frost: Prediction of minimum temperature for frost forecasting in agriculture. R package version 0.0.2. https://github.com/anadiedrichs/frost

A BibTeX entry for LaTeX users is

@Manual{,

title = {frost: Prediction of minimum temperature for frost forecasting in agriculture},

author = {Ana Laura Diedrichs},

year = {2018},

note = {R package version 0.0.2},

url = {https://github.com/anadiedrichs/frost},

}