Application of machine learning methods for soil classification

Title	Application of machine learning methods for soil classification
Authors	A. A. Butkina¹, O. A. Gushina¹, A. S. Korzhov¹, A. V. Shamaev¹ ¹National Research Mordovia State University
Annotation	The article describes how the authors apply of machine learning methods to classify soil types. An analysis of several predictive analytics methods was performed, and the «Random Forest Classifier» method was chosen as the best one.
Keywords	soil classification, soil types, predictive analytics, machine learning, random forest.
Citation	Butkina A. A., Gushina O. A., Korzhov A. S., Shamaev A. V. ''Application of machine learning methods for soil classification'' [Electronic resource]. Proceedings of the International Scientific Youth School-Seminar "Mathematical Modeling, Numerical Methods and Software complexes" named after E.V. Voskresensky (Saransk, July 26-28, 2024). Saransk: SVMO Publ, 2024. - pp. 22-27. Available at: https://conf.svmo.ru/files/2024/papers/paper03.pdf. - Date of access: 16.10.2024.