Evaluate the spray quality by analyzing an RGB-image of the water-sensitive paper.
analyzePaper(x, paper_dim = c(76, 26), distance = 0.7, display.it = TRUE)
x | Either an object of class |
---|---|
paper_dim | A numeric vector of length 2 indicating the length and width (in mm) of the water-sensitive paper. |
distance | A numeric value indicating the distance from the nozzle(s) to the target, in order to estimate the spray drift (%) using the 'German model' for field crops. |
display.it | (Logical) Should the image with the bounding box of the
paper be displayed? Default is |
Am object of class hydropaper
, consisting of a list
of the following:
An integer indicating the number of droplets found.
The percentage of wet area of the paper.
The number of droplets per squared centimeter.
The volume of product deposited in the paper.
If paper_dim
is given in milimeters, then vol
is given in
microliters.
The extrapolation of volume deposited for one hectare.
If paper_dim
is given in milimeters, then vol_ha
is given
in L/ha.
The mean diameter of droplets. If paper_dim
is given
in milimeters, then md
is given in micrometers.
The numeric median diameter of droplets.
If paper_dim
is given in milimeters, then nmd
is given in
micrometers.
The volumetric median diameter of droplets.
If paper_dim
is given in milimeters, then vmd
is given in
micrometers.
The 10th percentile of the volumetric median diameter of droplets.
If paper_dim
is given in milimeters, then d1
is given in
micrometers.
The 90th percentile of the volumetric median diameter of droplets.
If paper_dim
is given in milimeters, then d9
is given in
micrometers.
The relative amplitude: (d9 - d1)/vmd
.
The maximum diameter of droplets.
If paper_dim
is given in milimeters, then maxdrop
is given in
micrometers.
The minimum diameter of droplets.
If paper_dim
is given in milimeters, then mindrop
is given in
micrometers.
The percentage of droplets in each of the following three classes of diameter: <200, 200-400, >400 micrometers.
The coeficient of variation (%) of droplet areas.
The coeficient of variation (%) of droplet diameters.
A character giving a naive recomendation of which products
are suitable to be sprayed, based on density
.
A prediction of drift (%) based on the 'German model' for
field crops (Rautmann et al., 2001), as function of distance
.
This quantifies a 90th percentile of the drift values.
A numeric vector containing area of each droplet found.
If paper_dim
is given in milimeters, then areas
is given in
squared milimeters.
A numeric vector containing the diameter of each droplet
found. If paper_dim
is given in milimeters, then diams
is given in squared micrometers.
The binary mask of the segmentation, a numeric matrix.
Rautmann, D., M. Streloke, R. Winkler (2001) New basic drift values in the authorization procedure for plant protection products. In: R. Forster & M. Streloke, Workshop on Risk Assessment and Risk Mitigation measures in the context of the authorization of plant protection products (WORMM) 27.-29. September 1999. Mitteilungen aus der Biologischen Bundesanstalt für Land- und Forstwirtschaft, Berlin-Dahlem, Heft 381. 2001. 133-141.
path <- system.file('images', 'field1.jpg', package = 'hydropaper') p1 <- detectPaper(path) a <- analyzePaper(p1) print(a) #> #> Water-Sensitive Paper Analysis #> #> N drops: 1394 #> Spray coverage (%): 18.1 #> Density (drops/cm2): 71 #> Vol. applied (microliters): 213.44 #> L/ha (predicted): 1080.15 #> Mean diameter (micronmeters): 462 #> NMD (micrometers): 357 #> VMD (micrometers): 1042 #> D.1 (micrometers): 608 #> D.9 (micrometers): 1456 #> Relative amplitude: 0.81 #> Largest drop (micrometers): 1553 #> Smallest drop (micrometers): 113 #> Diam. class % (<105, 105-340, >340): 0 49 51 #> CV area (%): 135.2 #> CV diam. (%): 72.8 #> Good to spray: #> Drift (%): 96.1 #> plot(a)