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An Ensemble Learning Model for Detecting Soybean Seedling Emergence in UAV Imagery
Efficient detection and evaluation of soybean seedling emergence is an important measure for making field management decisions. However, there are many indicators related to emergence, and using multiple models to detect them separately makes data processing too slow to aid timely field management....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422598/ https://www.ncbi.nlm.nih.gov/pubmed/37571446 http://dx.doi.org/10.3390/s23156662 |