Identification of soil texture and color using machine learning algorithms and satellite imagery
Abstract The demand for high-quality and cost-effective soil information is increasing due to its importance in land-use planning and precision agriculture. This study aimed to estimate soil texture and color using satellite imagery as input variables for support vector regression (SVR) and decision...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-17166-z |
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