Advanced Fully Convolutional Networks for Agricultural Field Boundary Detection

Advanced Fully Convolutional Networks for Agricultural Field Boundary Detection

Accurate spatial information of agricultural fields is important for providing actionable information to farmers, managers, and policymakers. On the other hand, the automated detection of field boundaries is a challenging task due to their small size, irregular shape and the use of mixed-cropping sy...

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Bibliographic Details
Main Authors:	Alireza Taravat, Matthias P. Wagner, Rogerio Bonifacio, David Petit
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Series:	Remote Sensing
Subjects:	deep learning fully convolutional neural networks image segmentation field boundary detection cropland monitoring U-Net
Online Access:	https://www.mdpi.com/2072-4292/13/4/722

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