Multispectral vineyard segmentation: A deep learning comparison study-Reference-Cited by-同舟云学术

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Multispectral vineyard segmentation: A deep learning comparison study

Published:2022-04 Issue: Volume:195 Page:106782
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Barros T.,Conde P.,Gonçalves G.,Premebida C.,Monteiro M.,Ferreira C.S.S.,Nunes U.J.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference31 articles.

1. Ahmed, I., Eramian, M., Ovsyannikov, I., van der Kamp, W., Nielsen, K., Duddu, H.S., Rumali, A., Shirtliffe, S., Bett, K., 2019. Automatic detection and segmentation of lentil crop breeding plots from multi-spectral images captured by UAV-mounted camera. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, pp. 1673–1681, https://doi.org/10.1109/WACV.2019.00183.

2. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. CRowNet: Deep network for crop row detection in UAV images;Bah;IEEE Access,2019

4. Development of canopy vigour maps using UAV for site-specific management during vineyard spraying process;Campos;Precision Agric.,2019

5. Medium-Resolution Multispectral Data from Sentinel-2 to Assess the Damage and the Recovery Time of Late Frost on Vineyards;Cogato;Remote Sensing,2020

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