Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties

Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties

Knowing chemical soil properties might be determinant in crop management and total yield production. Traditional soil properties estimation approaches are time-consuming and require complex lab setups, refraining farmers from promptly taking steps towards optimal practices in their crops. Soil pr...

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Detalles Bibliográficos
Autores principales: Delgadillo Durana, Diego A., Vargas García, Cesar A., Varón Ramíreza, Viviana M., Calderón, Francisco C., Montenegroa, Andrea C., Reyes Herreraa, Paula H.
Formato: article
Lenguaje:Inglés
Publicado: ArXiv 2025
Materias:
Preparación del suelo - F07
Saccharum officinarum
Análisis del suelo
Aprendizaje automático
Transitorios
http://aims.fao.org/aos/agrovoc/c_6727
http://aims.fao.org/aos/agrovoc/c_7198
http://aims.fao.org/aos/agrovoc/c_49834
Acceso en línea:https://arxiv.org/abs/2012.12995
http://hdl.handle.net/20.500.12324/41001

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