dplyr(>= 0.3.0.1), ggplot2(>= 3.3.2), raster, rgdal, tidyr,
ncdf4

Estimation of crop water demand can be processed via this package. As example, the data  from 'TerraClimate' dataset (<https://www.climatologylab.org/terraclimate.html>) calibrated with automatic weather stations of National Meteorological Institute of Brazil is available in a coarse spatial resolution to do the crop water demand. However, the user have also the option to download the variables directly from 'TerraClimate' repository with the download.terraclimate function  and access the original 'TerraClimate' products. If the user believes that is necessary calibrate the variables, there is another function to do it. Lastly, the estimation of the crop water demand present in this package can be run for all the Brazilian territory with 'TerraClimate' dataset.

Climate Crop Zoning Based in Air Temperature for Brazil
Climate crop zoning based in minimum and maximum air temperature. The data used in the package are from 'TerraClimate' dataset (<http://www.climatologylab.org/terraclimate.html>), but, it have been calibrated with automatic weather stations  of National Meteorological Institute of Brazil.  The climate crop zoning of this package can be run for all the Brazilian territory.

Climate crop zoning based in minimum and maximum air temperature. The data used in the package are from 'TerraClimate' dataset (<https://www.climatologylab.org/terraclimate.html>), but, it have been calibrated with automatic weather stations  of National Meteorological Institute of Brazil.  The climate crop zoning of this package can be run for all the Brazilian territory.

person(
given = "Daniel",
family = "Oehm",
role = c("aut", "cre"),
email = "danieloehm@gmail.com"
)
Images are cropped to a circle with a transparent background. The function takes a
vector of images, either local or from a link, and circle crops the image. Paths to the
cropped image are returned for plotting with 'ggplot2'.

Open Data of Agricultural Production of Crops of Peru
c(
person("Omar", "Benites-Alfaro", email = "obacc07@gmail.com", role = c("aut", "cre")),
person("Pablo", "Gutierrez-Vilchez", , "pgutierrez@lamolina.edu.pe", "aut"),
person("Jossyn", "Lockuan-Cotrina", , "20120056@lamolina.edu.pe", "aut"),
person("Giorgio", "Cruz-Fajardo", , "20120024@lamolina.edu.pe", "aut"),
person("Grace", "Guevara-Diaz", , "20140052@lamolina.edu.pe", "aut"),
person("Charlie", "Mendez-Morales", , "20140072@lamolina.edu.pe", "aut"),
person("Liliana", "Aragon-Caballero", , "lili@lamolina.edu.pe", "ctb"),
person("Raul", "Blas-Sevillano", , "rblas@lamolina.edu.pe", "ctb"),
person("Agronomy Faculty, National Agrarian University La Molina (UNALM)", role = "cph", comment = "Copyright holder of all R code"),
person("Agriculture Ministry of Peru (MINAGRI)", role = "cph", comment = "Data source come from MINAGRI")
)
Provides peruvian agricultural production data from the Agriculture Minestry of Peru (MINAGRI). The first version includes
6 crops: rice, quinoa, potato, sweet potato, tomato and wheat; all of them across 24 departments. Initially,  in excel files which has been transformed
and assembled using tidy data principles, i.e. each variable is in a column, each observation is a row and each value is in a cell.
The variables variables are sowing and harvest area per crop, yield, production and price per plot, every one year, from 2004 to 2014.
Omar Benites-Alfaro [aut, cre],
Pablo Gutierrez-Vilchez [aut],
Jossyn Lockuan-Cotrina [aut],
Giorgio Cruz-Fajardo [aut],
Grace Guevara-Diaz [aut],
Charlie Mendez-Morales [aut],
Liliana Aragon-Caballero [ctb],
Raul Blas-Sevillano [ctb],
Agronomy Faculty, National Agrarian University La Molina (UNALM) [cph]
(Copyright holder of all R code),
Agriculture Ministry of Peru (MINAGRI) [cph] (Data source come from
MINAGRI)