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UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat
Early prediction of grain yield helps scientists to make better breeding decisions for wheat. Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based multi-sensor data can improve the prediction accuracy of crop yield. For this, five ML algorithms including Cubist, sup...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362526/ https://www.ncbi.nlm.nih.gov/pubmed/35967193 http://dx.doi.org/10.1007/s11119-022-09938-8 |