Open AccessInterpretation of the particle size distribution of chernozems data-driven soil
Author(s) -
Veronika Boldyreva,
Igor Morozov,
О. С. Безуглова
Publication year - 2022
Publication title -
agroèkoinfo
Language(s) - English
Resource type - Journals
ISSN - 1999-6403
DOI - 10.51419/202122233
Subject(s) - chernozem , computer science , interpretation (philosophy) , generalization , completeness (order theory) , mathematics , soil science , geology , soil water , mathematical analysis , programming language
By the example of interpreting the data of the granulometric composition of chernozems of ordinary carbonate soil data centers of the Rostov region, a system of principles for working with large data sets is proposed: Logical and terminological analysis → Contextuality of data → Verification and confirmation of data → Completeness of information → Systematization and generalization (obtaining information of a higher order). Each of these principles in one form or another, not necessarily under these names, has been applied and is being applied in scientific research, including in soil science. We propose to use them in the form of a hierarchical system when working with data center materials without fail. Keywords: PARTICLE-SIZE DISTRIBUTION, DATABASE, CHERNOZEM ORDINARY CARBONATE, INTERPRETATION PRINCIPLES