Estimation of Water Stress in Potato Plants Using Hyperspectral Imagery and Machine Learning Algorithms
This work presents quantitative detection of water stress and estimation of the water stress level: none, light, moderate, and severe on potato crops. We use hyperspectral imagery and state of the art machine learning algorithms: random decision forest, multilayer perceptron, convolutional neural...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Español |
| Publicado: |
MDPI
2025
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12324/41212 https://doi.org/10.3390/horticulturae7070176 |
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