Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 < https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images < https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.

The pacu package allows for processing, visualization, and analysis of yield monitor data. Additionally, this package also allows for retrieval, processing, and visualization of weather and satellite data.
pacu is available on CRAN. To install pacu, you can run:
install.packages("pacu")
To install the development version from github you can try:
devtools::install_github("cldossantos/pacu")
library(pacu)
or you can also try the lightweight 'remotes' package:
remotes::install_github("cldossantos/pacu")
library(pacu)
The vignettes are not automatically built when the package is installed from github. To get started with pacu, you can build the vignettes and check the examples we provide.
devtools::install_github("cldossantos/pacu", build_vignettes = TRUE)
browseVignettes(package = 'pacu')
or you can use the lightweight 'remotes' package:
remotes::install_github("cldossantos/pacu", build_vignettes = TRUE)
browseVignettes(package = 'pacu')
Imported packages: stars, XML, gstat, units, sf, apsimx, tmap, httr, jsonlite
Suggested packages: spData, knitr, mgcv, concaveman, rmarkdown, ggplot2, patchwork, nasapower, testthat
You can find the manuscript describing pacu here