Analysis of soil suitability for agricultural needs using machine learning methods

This study explores the application of machine learning methods to assess soil suitability for agricultural purposes, focusing on identifying and analysing key factors that influence soil productivity under drought conditions. A classification model was developed based on data from diverse U.S. regi...

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Bibliographic Details
Main Authors: Kurashkin Sergei, Kravtsov Kirill, Kukartsev Anatoly, Boyko Andrey, Volneikina Ekaterina
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:BIO Web of Conferences
Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2024/68/bioconf_geneticresources2024_01053.pdf
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