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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書誌詳細

主要な著者:	Vargas-Zapata, Mateo, Medina-Sierra, Marisol, Galeano-Vasco, Luis Fernando, Cerón-Muñoz, Mario Fernando
フォーマット:	Online
言語:	spa
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2022
主題:	prediction algorithms machine learning chemical analysis spectroscopy algoritmos de predicción aprendizaje de máquina análisis químico espectroscopía
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14212