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Twenty different soil units were identified and mapped.
Thirteen soil units were defined, included in five soil subgroups and six particle size families.
The Almagra model was used to produce the optimum cropping pattern and limitations of soil units.
An analysis of variance showed significant differences between different soil units.
The paper presents a new method for the digital mapping of taxonomic soil units via fuzzy taxonomy and fuzzy clustering.
Traditional measurements of soil bulk density, carbon and particle size analyses were conducted within each of the identified soil units.
In a sedimentary environment, layered models with abrupt boundaries between the different soil units represent the soil profile accurately.
In some tests, for the wet soil stage, the bare soil units performed better than the vegetated units.
A soil auger is used to obtain core samples in places where no subsurface exposure can be found, and the soil units are defined, delineated, and mapped in a manner similar to procedures in stratigraphy.
The obtained data and the changes in gray level values could be successfully used to identify and characterize different soil units with distinctly different physical properties.
Property estimates for the respective component soil units were derived using taxonomy-based transfer rules that draw on a statistical analysis of some 21,000 soil profiles.
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CEO of Professional Science Editing for Scientists @ prosciediting.com