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...
| Main Authors: | , , , , , |
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| Format: | article |
| Language: | Inglés |
| Published: |
ArXiv
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2012.12995 http://hdl.handle.net/20.500.12324/41001 |