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...

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Autori principali:	Vargas-Zapata, Mateo, Medina-Sierra, Marisol, Galeano-Vasco, Luis Fernando, Cerón-Muñoz, Mario Fernando
Natura:	Online
Lingua:	spa
Pubblicazione:	Universidad Pedagógica y Tecnológica de Colombia 2022
Soggetti:	prediction algorithms machine learning chemical analysis spectroscopy algoritmos de predicción aprendizaje de máquina análisis químico espectroscopía
Accesso online:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14212