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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.,...

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Detaylı Bibliyografya
Yayımlandı:Sensors (Basel)
Asıl Yazarlar: Anagnostis, Athanasios, Tagarakis, Aristotelis C., Kateris, Dimitrios, Moysiadis, Vasileios, Sørensen, Claus Grøn, Pearson, Simon, Bochtis, Dionysis
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI 2021
Konular:
Online Erişim: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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