Using the Loginom analytical platform to process long-term field experience data

Abstract

The article discusses the capabilities of the Loginom analytical platform for processing long-term field experience data; such software components are used as data transformation (row filter, sorting, grouping, cross-table, cross-diagram, sliding window); preprocessing (editing emissions, smoothing), research (correlation analysis, factor analysis), Data Mining (self-organizing network, clustering) to identify the effect of crop rotations, soil liming, application of various combinations of mineral and organic fertilizers, weather conditions on yield of oats and barley.