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Simultaneous multi-crop land suitability prediction from remote sensing data using semi-supervised learning
Land suitability models for Canada are currently based on single-crop inventories and expert opinion. We present a data-driven multi-layer perceptron that simultaneously predicts the land suitability of several crops in Canada, including barley, peas, spring wheat, canola, oats, and soy. Available c...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133274/ https://www.ncbi.nlm.nih.gov/pubmed/37100875 http://dx.doi.org/10.1038/s41598-023-33840-6 |