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Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing
Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) and computer vision are crucial to increase the effi...
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| Publicat a: | Sensors (Basel) |
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| Autors principals: | , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8227058/ https://ncbi.nlm.nih.gov/pubmed/34207543 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21123971 |
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