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...
- Autores:
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_6779
- Fecha de publicación:
- 2022
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/10384
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14212
https://repositorio.uptc.edu.co/handle/001/10384
- Palabra clave:
- prediction algorithms
machine learning
chemical analysis
spectroscopy
algoritmos de predicción
aprendizaje de máquina
análisis químico
espectroscopía
- Rights
- License
- Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovación