person(given = "Nicolaas",
family = "VanSteenbergen",
role = c("aut", "cre"),
email = "nvansteenbergen@unomaha.edu")
A helpful tool for the identification of crop rows. Methods of this package include: Excess Green color scale <https://www.researchgate.net/publication/270613992_Color_Indices_for_Weed_Identification_Under_Various_Soil_Residue_and_Lighting_Conditions>, Otsu Thresholding <https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4310076>, and Morphology <https://en.wikipedia.org/wiki/Mathematical_morphology>.

Access Cropland Data Layer Data via the 'CropScape' Web Service
c(person(given = "Bowen", family = "Chen", role = c("aut", "cre"), email = "bwchen0719@gmail.com", comment = c(ORCID = "0000-0003-0370-2756")),
person(given = "Benjamin", family = "Gramig", role = "ctb"))
Interface to easily access Cropland Data Layer (CDL) data for any area of interest via the 'CropScape' <https://nassgeodata.gmu.edu/CropScape/> web service.
Bowen Chen [aut, cre] (<https://orcid.org/0000-0003-0370-2756>),
Benjamin Gramig [ctb]

c(person(given = "Bowen", family = "Chen", role = c("aut", "cre"), email = "bwchen0719@gmail.com", comment = c(ORCID = "0000-0003-0370-2756")),
person(given = "Benjamin", family = "Gramig", role = "ctb"),
person(given = "Taro", family = "Mieno", role = "ctb"))
Bowen Chen [aut, cre] (<https://orcid.org/0000-0003-0370-2756>),
Benjamin Gramig [ctb],
Taro Mieno [ctb]

A Partial Clustering Algorithm with Automatic Estimation of the
Number of Clusters and Identification of Outliers
Computes a partial clustering algorithm that combines
the Ward's minimum variance and Complete Linkage algorithms, providing
automatic estimation of a suitable number of clusters and identification of
outlier elements.

c(
person("Paola"  , "Tellaroli",
email = "paola.tellaroli@gmail.com",
role  = c('cre', 'aut')
),
person("Marco"  , "Bazzi",
email = "bazzi [at] stat [dot] unipd [dot] it",
role  = 'aut'
),
person("Michele", "Donato",
email = "mdonato [at] stanford [dot] edu",
role  = 'aut'
),
person("Livio", "Finos",
email = "livio [dot] finos [at] unipd [dot] it",
role  = 'aut'
),
person("Philippe", "Courcoux",
email = "philippe [dot] courcoux [at] oniris-nantes [dot] fr",
role  = 'aut'
),
person("Corrado", "Lanera",
email = "corrado [dot] lanera [at] unipd [dot] it",
role  = 'aut'
)
)
Provide the CrossClustering algorithm (Tellaroli et al. (2016)
<doi:10.1371/journal.pone.0152333>), which is a partial clustering algorithm
that combines the Ward's minimum variance and Complete Linkage algorithms,
providing automatic estimation of a suitable number of clusters and
identification of outlier elements.
cluster, mclust, flip, magrittr, purrr, utils, assertive,
crayon, glue, cli, dplyr
Paola Tellaroli [cre, aut],
Marco Bazzi [aut],
Michele Donato [aut],
Livio Finos [aut],
Philippe Courcoux [aut],
Corrado Lanera [aut]