Development of Machine Learning Models for Predicting Soil Texture Variables through Hyperspectral Imaging
<p id="p1">Soil texture is a crucial property that can provide insight into its productive capacity. However, determining soil texture can be a complex and time-consuming process. To address this challenge, we aimed to develop machine learning (ML) models that could predict the composition of sand,...
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| Autores principales: | , , , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2025
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1219601 |
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