Machine learning algorithms for prediction of physicochemical soil properties by spectral information: a systematic review

The prediction of soil properties through spectral information is widely discussed in the current scientific literature. The objective of this review was to find algorithms with the highest predictive potential for soil physicochemical properties based on spectral information captured with different...

Полное описание

Библиографические подробности

Главные авторы:	Vargas-Zapata, Mateo, Medina-Sierra, Marisol, Galeano-Vasco, Luis Fernando, Cerón-Muñoz, Mario Fernando
Формат:	Online
Язык:	spa
Опубликовано:	Universidad Pedagógica y Tecnológica de Colombia 2022
Предметы:	prediction algorithms machine learning chemical analysis spectroscopy algoritmos de predicción aprendizaje de máquina análisis químico espectroscopía
Online-ссылка:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14212