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Orchard Mapping with Deep Learning Semantic Segmentation
This study aimed to propose an approach for orchard trees segmentation using aerial images based on a deep learning convolutional neural network variant, namely the U-net network. The purpose was the automated detection and localization of the canopy of orchard trees under various conditions (i.e.,...
Sparad:
| I publikationen: | Sensors (Basel) |
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| Huvudupphovsmän: | , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8198531/ https://ncbi.nlm.nih.gov/pubmed/34072975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21113813 |
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