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Improving grain yield prediction through fusion of multi-temporal spectral features and agronomic trait parameters derived from UAV imagery
Rapid and accurate prediction of crop yield is particularly important for ensuring national and regional food security and guiding the formulation of agricultural and rural development plans. Due to unmanned aerial vehicles’ ultra-high spatial resolution, low cost, and flexibility, they are widely u...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613988/ https://www.ncbi.nlm.nih.gov/pubmed/37908835 http://dx.doi.org/10.3389/fpls.2023.1217448 |