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The goal ofpaar is to provide useful functions for precisionagriculture spatial data depuration.

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

# install.packages("paar")

You can install the development version fromGitHub with:

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

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

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

barley data contains barley grain yield which were obtained usingcalibrated commercial yield monitors, mounted on combines equipped withDGPS.

#Convert barley data to an spatial objectbarley_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 datasummary(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")

• Vega, A., Córdoba, M., Castro-Franco, M. et al. (2019). Protocol forautomating error removal from yield maps. Precision Agric 20,1030–1044https://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 inprecision agriculture. Computers and Electronics in Agriculture, 175,105556https://doi.org/10.1016/j.compag.2020.105556.