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Application of self-organizing maps to explore the interactions of microorganisms with soil properties in fruit crops under different management and pedo-climatic conditions
Francesca Antonucci, Simona Violino, Loredana Canfora, Malgorzata Tartanus, Ewa M. Furmanczyk, Sara Turci, Maria Grazia Tommasini, Nika Weber, Jaka Razinger, Morgane Ourry, Samuel Bickel, Thomas A. J. Passey, Anne Bohr, Heinrich Maisel, Massimo Pugliese, Francesco Vitali, Stefano Mocali, Federico Pallottino, Simone Figorilli, Corrado Costa, Eligio Malusà
Izvirni znanstveni članek
Oznake: apple;neural networks;soil microbiome diversity;strawberry;
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 cons ...
Leto: 2025 Vir: Kmetijski inštitut Slovenije (KIS)
Št. zadetkov: 1
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