Open AccessUsing the Loginom analytical platform to process long-term field experience data
Author(s) -
K Chernysheva,
N Karpuzova,
Svetlana Afanasyeva,
Anna V. Korolkova
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/937/3/032089
Subject(s) - smoothing , data mining , cluster analysis , computer science , field (mathematics) , sorting , term (time) , process (computing) , preprocessor , relational database , filter (signal processing) , table (database) , artificial intelligence , mathematics , algorithm , computer vision , physics , quantum mechanics , pure mathematics , operating system
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.