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 -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/3/032078
Subject(s) - smoothing , cluster analysis , data mining , computer science , field (mathematics) , sorting , term (time) , relational database , preprocessor , table (database) , filter (signal processing) , software , process (computing) , data pre processing , artificial intelligence , mathematics , algorithm , computer vision , physics , quantum mechanics , pure mathematics , programming language , 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.