Precision Agriculture Data Analysis.

paar

The goal of paar is to provide useful functions for precision agriculture spatial data depuration.

Installation

You can install the released version of paar from CRAN with (not-yet):

# install.packages("paar")

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("PPaccioretti/paar")

Example

The package has a complete protocol for automating error removal. Default values of all functions are optimized for precision agricultural data.

library(paar)
library(sf)
#> Warning: package 'sf' was built under R version 4.3.3
data("barley", package = 'paar')

barley data contains barley grain yield which were obtained using calibrated commercial yield monitors, mounted on combines equipped with DGPS.

#Convert barley data to an spatial object
barley_sf <- st_as_sf(barley,
                   coords = c("X", "Y"),
                   crs = 32720)

barley_dep <-
  depurate(barley_sf,
           "Yield")
#> Concave hull algorithm is computed with
#> concavity = 2 and length_threshold = 0

# Summary of depurated data
summary(barley_dep)
#>       normal point             border spatial outlier MP spatial outlier LM 
#>         5673 (77%)          964 (13%)         343 (4.6%)         309 (4.2%) 
#>         global min            outlier 
#>          99 (1.3%)         6 (0.081%)

Spatial yield values before and after depuration process can be plotted

plot(barley_sf["Yield"], main = "Before depuration")
plot(barley_dep$depurated_data["Yield"], main = "After depuration")

Also distribution of yield values can be plotted

boxplot(barley_sf[["Yield"]], main = "Before depuration")
boxplot(barley_dep$depurated_data[["Yield"]], main = "After depuration")

References

• Vega, A., Córdoba, M., Castro-Franco, M. et al. (2019). Protocol for automating error removal from yield maps. Precision Agric 20, 1030–1044 https://doi.org/10.1007/s11119-018-09632-8
• Paccioretti, P., Córdoba, M., & Balzarini, M. (2020). FastMapping: Software to create field maps and identify management zones in precision agriculture. Computers and Electronics in Agriculture, 175, 105556 https://doi.org/10.1016/j.compag.2020.105556.