Ensemble data mining methods for assessing soil fertility

The application of ensemble data mining methods in assessing soil fertility and the use of methods such as random forest, gradient boosting and bagging to determine the level of soil fertility are examined in the article. Ensemble methods combine multiple machine learning models to improve the accur...

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Bibliographic Details
Main Authors: Ziyadullaev Davron, Muhamediyeva Dilnoz, Khujamkulova Khosiyat, Abdurakhimov Doniyor, Maksumkhanova Azizahon, Ziyodullaeva Gulchiroy
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/24/e3sconf_aees2024_02013.pdf