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  • Application of self-organiz... (cover)
    Application of self-organizing maps to explore the interactions of microorganisms with soil properties in fruit crops under different management and pedo-climatic conditions [Elektronski vir]
    Antonucci, Francesca ...
    Self-organizing maps (SOMs) are a class of neural network algorithms able to visually describe a high-dimensional dataset onto a two-dimensional grid. SOMs were explored to classify soils based on an ... array of physical, chemical, and biological parameters. Methods: The SOM analysis was performed considering soil physical, chemical, and microbial data gathered from an array of apple orchards and strawberry plantations managed by organic or conventional methods and located in different European climatic zones. Results: The SOM analysis considering the “climatic zone” categorical variables was able to discriminate the samples from the three zones for both crops. The zones were associated with different soil textures and chemical characteristics, and for both crops, the Continental zone was associated with microbial parameters—including biodiversity indices derived from the NGS data analysis. However, the SOM analysis based on the “management method” categorical variables was not able to discriminate the soils between organic and integrated management.
    Source: Soil systems [Elektronski vir]. - ISSN 2571-8789 (Vol. 9, iss. 1, art. 10, 2025, 14 str.)
    Type of material - e-article ; adult, serious
    Publish date - 2025
    Language - english
    COBISS.SI-ID - 224921091

    Link(s):

    https://www.mdpi.com/2571-8789/9/1/10
    DiRROS - Digital repository of Slovenian research organizations
    DOI

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