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.,...

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Detalles Bibliográficos
Autores principales: Anagnostis, Athanasios, Tagarakis, Aristotelis C., Kateris, Dimitrios, Moysiadis, Vasileios, Sørensen, Claus Grøn, Pearson, Simon, Bochtis, Dionysis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198531/
https://www.ncbi.nlm.nih.gov/pubmed/34072975
http://dx.doi.org/10.3390/s21113813

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198531/
https://www.ncbi.nlm.nih.gov/pubmed/34072975
http://dx.doi.org/10.3390/s21113813

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