Type: | Package |
Title: | Data Analysis of Pesticide Application Technology |
Version: | 1.0.2 |
Date: | 2022-09-14 |
Maintainer: | Rodrigo Yudi Palhaci Marubayashi <marubayashi@uel.br> |
Description: | In total it has 7 functions, three for calculating machine calibration, which determine application rate (L/ha), nozzle flow (L/min) and amount of product (L or kg) to be added. to the tank with each sprayer filling. Two functions for graphs of the flow distribution of the nozzles (L/min) in the application bar and, of the temporal variability of the meteorological conditions (air temperature, relative humidity of the air and wind speed). Two functions to determine the spray deposit (uL/cm2), through the methodology called spectrophotometry, with the aid of bright blue (Palladini, L.A., Raetano, C.G., Velini, E.D. (2005), <doi:10.1590/S0103-90162005000500005>) or metallic markers (Chaim, A., Castro, V.L.S.S., Correles, F.M., Galvão, J.A.H., Cabral, O.M.R., Nicolella, G. (1999), <doi:10.1590/S0100-204X1999000500003>). The package supports the analysis and representation of information, using a single free software that meets the most diverse areas of activity in application technology. |
Encoding: | UTF-8 |
RoxygenNote: | 7.2.1 |
Imports: | ggplot2, gridExtra, xlsx, readxl, ggrepel, stats, nortest, lmtest, crayon, utils |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Depends: | R (≥ 3.6) |
NeedsCompilation: | no |
Packaged: | 2022-09-14 20:18:04 UTC; marub |
Author: | Rodrigo Yudi Palhaci Marubayashi
|
Repository: | CRAN |
Date/Publication: | 2022-09-14 20:30:02 UTC |
AgroTech: Data Analysis of Pesticide Application Technology
Description
In total it has 7 functions, three for calculating machine calibration, which determine application rate (L/ha), nozzle flow (L/min) and amount of product (L or kg) to be added. to the tank with each sprayer filling. Two functions for graphs of the flow distribution of the nozzles (L/min) in the application bar and, of the temporal variability of the meteorological conditions (air temperature, relative humidity of the air and wind speed). Two functions to determine the spray deposit (uL/cm2), through the methodology called spectrophotometry, with the aid of bright blue (Palladini, L.A., Raetano, C.G., Velini, E.D. (2005), doi:10.1590/S0103-90162005000500005) or metallic markers (Chaim, A., Castro, V.L.S.S., Correles, F.M., Galvão, J.A.H., Cabral, O.M.R., Nicolella, G. (1999), doi:10.1590/S0100-204X1999000500003). The package supports the analysis and representation of information, using a single free software that meets the most diverse areas of activity in application technology.
Author(s)
Maintainer: Rodrigo Yudi Palhaci Marubayashi marubayashi@uel.br (ORCID)
Authors:
Dataset: Example markblue
Description
The data are part of an experiment that studied the spray deposit
Usage
data(example_markblue)
Format
data.frame containing data set
curva
Vector with curves
TRATAMENTO
Numeric vector with treatment
repe
Numeric vector with repetition
Abs
Numeric vector with absorbance
area
Numeric vector with area
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
Examples
data(example_markblue)
Dataset: Example markbluecurve
Description
The data are part of an experiment that studied the spray deposit
Usage
data(example_markbluecurve)
Format
data.frame containing data set
curva
Vector with curve
Amostra
Numeric vector with sample
Abs
Numeric vector with absorbance
ppm
Numeric vector with concentration
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
Examples
data(example_markbluecurve)
Dataset: Example markmet
Description
The data are part of an experiment that studied the spray deposit
Usage
data(example_markmet)
Format
data.frame containing data set
trat
Vector with treatment
repe
Numeric vector with repetition
ppm
Numeric vector with concentration
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
Examples
data(example_markmet)
Dataset: Example meteorological
Description
The data come from a meteorological station on a rural property in the city of Rolandia/PR
Usage
data("example_meteorological")
Format
data.frame containing data set
tempo
Numeric vector with time
temp
Numeric vector with air temperature
ur
Numeric vector with relative humidity
vento
Numeric vector with wind speed
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
Examples
data(example_meteorological)
Flow graphic of nozzles on spray bar
Description
This is a function to check the conditions of the spray nozzles
Usage
flowgrap(
file,
pointsize = 3.5,
xsup = 1.1,
xinf = 0.9,
pointcolor = "red",
xlab = "Nozzle number",
ylab = NA
)
Arguments
file |
Numerical vector with the flows |
pointsize |
Point size (default 3.5) |
xsup |
Upper limit |
xinf |
Bottom limit |
pointcolor |
Point color (red) |
xlab |
x axis legend |
ylab |
y axis legend |
Value
Returns graph of ggplot2
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
References
ANDEF Associacao Nacional de Defesa Vegetal. Manual de tecnologia de aplicacao de produtos fitossanitarios. Campinas: Linea Creativa, 2004. 50p.
BOLLER, W.; RAETANO, C. G. Bicos e pontas de pulverizacao de energia hidraulica, regulagens e calibracao de pulverizadores de barras. In: ANTUNIASSI, U. R.; BOLLER, W. (Organizadores). Tecnologia de aplicacao para culturas anuais. Passo Fundo: Aldeia Norte; Botucatu: FEPAF, 2011. p.51-82.
SPRAYING SYSTEMS CO. Catalogo 51A-PT - Produtos de pulverizacao para agricultura. Wheaton: Spraying Systems Co., 2014. 160p.
Examples
resp=c(881,854,865,876,906.3,
874.7,868.3,878.7,872.7,901.7,
823.3,889.7,861.3,900.3,890.3,
886.7,916.7,872,912.7,894)
flowgrap(resp)
# flowgrap("file.xlsx")
Flow calculation as a function of working pressure
Description
This is a function to determine the flow rate of a spray nozzle as a function of the working pressure
Usage
flowpres(q1, q2, p1, p2)
Arguments
q1 |
Nozzle flow 1 (L/min) |
q2 |
Nozzle flow 2 (L/min) |
p1 |
Nozzle pressure 1 (bar) |
p2 |
Nozzle pressure 2 (bar) |
Details
Nozzle flow 1:
q1=\frac{\sqrt{p1}}{\sqrt{p2}}*q2
Nozzle flow 2:
q2=\frac{q1}{\frac{\sqrt{p1}}{\sqrt{p2}}}
Nozzle pressure 1:
p1=(\sqrt{p2}*\frac{q1}{q2})^2
Nozzle pressure 2:
p2=(\frac{\sqrt{p1}}{(\frac{q1}{q2})})^2
Value
Returns values of flow (L/min) or pressure (bar)
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
References
ANDEF Associacao Nacional de Defesa Vegetal. Manual de tecnologia de aplicacao de produtos fitossanitarios. Campinas: Linea Creativa, 2004. 50p.
BOLLER, W.; RAETANO, C. G. Bicos e pontas de pulverizacao de energia hidraulica, regulagens e calibracao de pulverizadores de barras. In: ANTUNIASSI, U. R.; BOLLER, W. (Organizadores). Tecnologia de aplicacao para culturas anuais. Passo Fundo: Aldeia Norte; Botucatu: FEPAF, 2011. p.51-82.
SPRAYING SYSTEMS CO. Catalogo 51A-PT - Produtos de pulverizacao para agricultura. Wheaton: Spraying Systems Co., 2014. 160p.
See Also
Examples
flowpres(q1=NA,q2=0.80,p1=1.00,p2=2.80)
flowpres(q1=0.48,q2=0.80,p1=1.00,p2=NA)
Calculation of required spray nozzle flow
Description
This is a function to determine the required flow rate of a spray nozzle
Usage
flowrat(Q, q, V, W = 50)
Arguments
Q |
Application rate (L/ha) |
q |
Nozzle flow (L/min) |
V |
Sprayer speed (km/h) |
W |
Spacing between spray nozzles (cm) |
Details
Application rate (L/ha):
Q=\frac{60000*q}{V*W}
Nozzle flow (L/min):
q=\frac{Q*(V*W)}{60000}
Sprayer speed (km/h):
V=\frac{\frac{60000*q}{Q}}{W}
Spacing between spray nozzles (m):
W=\frac{\frac{60000*q}{Q}}{V}
Value
Returns values for flow, application rate, sprayer speed, spacing between spray tips
Note
60000 Units conversion factor
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
References
ANDEF Associacao Nacional de Defesa Vegetal. Manual de tecnologia de aplicacao de produtos fitossanitarios. Campinas: Linea Creativa, 2004. 50p.
BOLLER, W.; RAETANO, C. G. Bicos e pontas de pulverizacao de energia hidraulica, regulagens e calibracao de pulverizadores de barras. In: ANTUNIASSI, U. R.; BOLLER, W. (Organizadores). Tecnologia de aplicacao para culturas anuais. Passo Fundo: Aldeia Norte; Botucatu: FEPAF, 2011. p.51-82.
SPRAYING SYSTEMS CO. Catalogo 51A-PT - Produtos de pulverizacao para agricultura. Wheaton: Spraying Systems Co., 2014. 160p.
See Also
Examples
flowrat(Q = 190,q = NA,V = 10,W = 50)
Spray deposit (glowing blue marker)
Description
This is a function to determine spray deposit using bright blue marker and then after performing tests of assumptions, analysis of variance and comparison of means
Usage
markblue(
d1,
d2,
vl,
ci,
ncu2 = 1,
ntrat2 = 2,
nrep2 = 3,
nresp2 = 5,
naf2 = 6,
analysis = TRUE,
design = "DIC",
transf = 1,
quali = TRUE,
grau = 1,
test = "parametric",
mcomp = "tukey",
ylab = expression(mu ~ cm^2),
save.xlsx = FALSE
)
Arguments
d1 |
Curved worksheet |
d2 |
Experiment worksheet |
vl |
Wash volume (mL) |
ci |
Initial marker concentration |
ncu2 |
Column referring to the curve (default is 1) |
ntrat2 |
Column referring to treatment |
nrep2 |
Column referring to repetition |
nresp2 |
Column referring to absorbance |
naf2 |
Sheet area (cm2) |
analysis |
Perform statistical analysis |
design |
Experiment design |
transf |
Data transformation |
quali |
Qualitative or quantitative treatment (default is TRUE) |
grau |
degree of the polynomial (when treatment is quantitative) |
test |
Parametric or Nonparametric (default is "parametric") |
mcomp |
Mean comparison test (default is "tukey") |
ylab |
y axis name (default is expression(mu~cm^2)) |
save.xlsx |
Want to export in excel format (default is FALSE) |
Value
Returns the comparison between the treatments of the experiment
Note
Curve name on the curve worksheet (d1) must be the same as the curve name on the experiment worksheet (d2)
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
References
No reference
See Also
Examples
data("example_markbluecurve")
data("example_markblue")
markblue(d1=example_markbluecurve,
d2=example_markblue,
vl=20,
ci=1500,
ncu2 = 1,
ntrat2 = 2,
nrep2 = 3,
nresp2 = 4,
naf2 = 5)
Spray deposit (metallic marker)
Description
This is a function to determine spray deposit using metallic markers and then after performing tests of assumptions, analysis of variance and comparison of means
Usage
markmet(
ppm,
white,
VL,
AL,
analysis = TRUE,
trat,
block,
design = "DIC",
transf = 1,
quali = TRUE,
grau = 1,
test = "parametric",
mcomp = "tukey",
ylab = expression(mu ~ cm^2),
save.xlsx = FALSE
)
Arguments
ppm |
Concentração |
white |
White reading |
VL |
Wah volume (mL) |
AL |
blade area (cm2) |
analysis |
Perform statistical analysis |
trat |
Vector with treatment |
block |
Vector with block (if design = "DBC") |
design |
Experiment design |
transf |
Data transformation |
quali |
Qualitative or quantitative treatment (default is TRUE) |
grau |
degree of the polynomial (when treatment is quantitative) |
test |
Parametric or Nonparametric (default is "parametric") |
mcomp |
Mean comparison test (default is "tukey") |
ylab |
y axis name (default is expression(mu~cm^2)) |
save.xlsx |
Want to export in excel format (default is FALSE) |
Value
Returns the comparison between the treatments of the experiment
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
References
No reference
See Also
Examples
library(AgroTech)
data("example_markmet")
with(example_markmet,
markmet(ppm = ppm,
white = 0.02,
VL = 35,
AL = 63.61,
analysis = TRUE,
trat=trat))
Amount of phytosanitary product per spray tank
Description
This is a function to determine the amount of commercial product to be placed in the sprayer tank at each fill
Usage
product(Ct, Dose, Q)
Arguments
Ct |
Spray tank volumetric capacity (L) |
Dose |
Product dose to be applied (L/ha, mL/ha, kg/ha, g/ha) |
Q |
Application rate (L/ha) |
Value
Returns values for amount of product (L or kg)
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
References
ANDEF Associacao Nacional de Defesa Vegetal. Manual de tecnologia de aplicacao de produtos fitossanitarios. Campinas: Linea Creativa, 2004. 50p.
BOLLER, W.; RAETANO, C. G. Bicos e pontas de pulverizacao de energia hidraulica, regulagens e calibracao de pulverizadores de barras. In: ANTUNIASSI, U. R.; BOLLER, W. (Organizadores). Tecnologia de aplicacao para culturas anuais. Passo Fundo: Aldeia Norte; Botucatu: FEPAF, 2011. p.51-82.
SPRAYING SYSTEMS CO. Catalogo 51A-PT - Produtos de pulverizacao para agricultura. Wheaton: Spraying Systems Co., 2014. 160p.
See Also
Examples
product(Ct = 800,Dose = 200,Q = 100)
Temporal variability graph of weather conditions
Description
This is a function to check weather conditions in agricultural spraying
Usage
vartemp(
file,
nx = 1,
ny = 2,
variable = NA,
ylab = "Dependent",
xlab = "Independent",
size.text = 12,
size.title = 12,
size.strip = 12,
size.lty = 0.7
)
Arguments
file |
Excel file (xlsx) |
nx |
Time |
ny |
Weather conditions |
variable |
Variable name |
ylab |
y axis (Dependent) |
xlab |
x axis (Independent) |
size.text |
Size text (default is 12) |
size.title |
Size title (default is 12) |
size.strip |
Size strip (default is 12) |
size.lty |
Size line (default is 0.7) |
Value
Returns graph of ggplot2
Author(s)
Rodrigo Yudi Palhaci Marubayashi, marubayashi@uel.br
Gabriel Danilo Shimizu
Otavio Jorge Grigoli Abi Saab
References
No reference
Examples
data("example_meteorological")
vartemp(example_meteorological)