In PPaccioretti/paar: Precision Agriculture Data Analysis

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
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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)
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")

# Summary of depurated data
summary(barley_dep)

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.

PPaccioretti/paar documentation built on Sept. 17, 2024, 1:21 p.m.