Integrating geophysics and machine learning for soil compaction estimation in agriculture
Abstract Soil compaction is a significant factor affecting crop yield; however, traditional assessment methods are labor-intensive and costly. To address this issue, rapid and cost-effective estimation techniques are needed. Geophysical methods are commonly used to predict various soil parameters, y...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-04-01
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| Colecção: | Journal of the Saudi Society of Agricultural Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44447-025-00117-5 |
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