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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Bibliographic Details

Main Authors:	Delgadillo Durana, Diego A., Vargas García, Cesar A., Varón Ramíreza, Viviana M., Calderón, Francisco C., Montenegroa, Andrea C., Reyes Herreraa, Paula H.
Format:	Artículo
Language:	Inglés
Published:	ArXiv 2025
Subjects:	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
Online Access:	https://arxiv.org/abs/2012.12995 http://hdl.handle.net/20.500.12324/41001