Orchard Mapping with Deep Learning Semantic Segmentation

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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Bibliographic Details
Main Authors: Athanasios Anagnostis, Aristotelis C. Tagarakis, Dimitrios Kateris, Vasileios Moysiadis, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
precision agriculture
orchard mapping
deep learning
computer vision
semantic segmentation
orthomosaic
Online Access:https://www.mdpi.com/1424-8220/21/11/3813

Internet

https://www.mdpi.com/1424-8220/21/11/3813

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