cassava: Cassava crop

In rPAex: Automatic Detection of Experimental Unit in Precision Agriculture

Cassava crop

Description

The image of the cassava crop corresponds to flight 11 recorded by the drone on February 26, 2015 at the International Potato Center, with a multispectral camera. The cultivation area includes 6 plots of 11 x 6 meters. Due to the size of the images, only image 11 was used in rPAex.

Usage

data("cassava")

Format

A data frame with 262056 observations on the following 5 variables.

x

coordinate X, a numeric vector

y

coordinate Y, a numeric vector

L1

Near-Infrared Light (NIR), a numeric vector

L2

Red band, a numeric vector

L3

Green band, a numeric vector

Details

The cassava crop data was built with the TTC_0559_georeferenced.tif image (Loayza, 2018) and the terra package (Hijmans, 2023).

Source

International Potato Center. CIP - Lima Peru. Dataverse CIP.

References

Loayza, Hildo; Silva, Luis; Palacios, Susan; Balcazar, Mario; Quiroz, Roberto, 2018, "Dataset for: Modelling crops using high resolution multispectral images", <doi: 10.21223/P3/UVWVLA>, International Potato Center, V1
Hijmans R (2023). _terra: Spatial Data Analysis. https://CRAN.R-project.org/package=terra

See Also

cropTime, EUsPoint, imageField, borderPoint

Examples

library(rPAex)
# Generation of cassava data
# download the TTC_0559_georeferenced.tif image from CIP DATAVERSE repository
# library(terra)
# img = "TTC_0559_georeferenced.tif" 
# r<-rast(img)
# e = ext(287688, 287709, 8664174, 8664217)
# rc = crop(r, e)
# terra::image(rc) # Image cassava
# to use locator(), fourPoint() and imageField() to generate the cassava data
data(cassava)
# Contains 262056 pixels of 5 centimeters each with multispectral data
r<-terra::rast(cassava,type="xyz")
terra::image(r) # Image cassava

rPAex documentation built on Nov. 2, 2023, 6:22 p.m.