Classification Of Kitchen Tools And Equipment

    classification
  • The action or process of classifying something according to shared qualities or characteristics
  • a group of people or things arranged by class or category
  • categorization: the act of distributing things into classes or categories of the same type
  • the basic cognitive process of arranging into classes or categories
  • A category into which something is put
  • The arrangement of animals and plants in taxonomic groups according to their observed similarities (including at least kingdom and phylum in animals, division in plants, and class, order, family, genus, and species)
    kitchen tools
  • (Kitchen tool) This is a list of food preparation utensils, some of which are known as kitchenware.
    equipment
  • The process of supplying someone or something with such necessary items
  • The act of equipping, or the state of being equipped, as for a voyage or expedition; Whatever is used in equipping; necessaries for an expedition or voyage; the collective designation for the articles comprising an outfit; equipage; as, a railroad equipment (locomotives, cars, etc.
  • Mental resources
  • The necessary items for a particular purpose
  • A tool is a device that can be used to produce or achieve something, but that is not consumed in the process. Colloquially a tool can also be a procedure or process used for a specific purpose.
  • an instrumentality needed for an undertaking or to perform a service
classification of kitchen tools and equipment
Supervised classification of a Landsat image
Supervised classification of a Landsat image
This is a supervised classification of a patch of western Victoria, southwest of Ballarat. The original satellite image was recorded in November 2004. The idea is to generate statistical models of the characteristic spectra of different vegetation classes, by demarcating 'training regions' on the original Landsat image, and then getting the software to calculate the spectral band means and covariances for those patches. Then, using the statistical descriptions of each vegetation type, the software looks at every pixel in the full scene and decides which of the classes the pixel is most likely to belong to (the maximum likelihood algorithm). This is a small portion of the resulting classified scene. Pine plantations are colour coded dark blue, dry grazing is pinkish buff or brick orange, eucalypt forest is dark green, wheat is bright blue-green, pasture is bright green, ripe crops and mown hay are yellow, other crops are sage green. The classification was performed in ENVI. Assayed accuracy of the classification was 86%. By doing this for images taken spaced several years apart, you can count the pixels indicating each land use class in each year, to quantify how much and in what direction agricultural land use has been changing over the years.
Classification & Nomenclature
Classification & Nomenclature
On peut trouver beaucoup de plaisir a determiner des fleurs sans equipement. Voici quelques clefs.
classification of kitchen tools and equipment