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Acta Universitatis Sapientiae, Agriculture and Environment
Volume 10 (2018): Issue 1 (December 2018)
Open Access
Automated evaluation of agricultural damage using UAV survey
Daniel Stojcsics
Daniel Stojcsics
,
Zsolt Domozi
Zsolt Domozi
and
András Molnár
András Molnár
| Feb 23, 2019
Acta Universitatis Sapientiae, Agriculture and Environment
Volume 10 (2018): Issue 1 (December 2018)
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Published Online:
Feb 23, 2019
Page range:
20 - 30
Received:
Jan 20, 2018
Accepted:
Feb 28, 2018
DOI:
https://doi.org/10.2478/ausae-2018-0002
Keywords
deep learning
,
convolutional neural network
,
UAV
,
Matlab
,
survey
,
precision agriculture
,
game damage
,
time series
© 2018 Daniel Stojcsics et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Daniel Stojcsics
Institute of Applied Informatics, John von Neumann Faculty of Informatics, Óbuda University
Hungary
Zsolt Domozi
Institute of Applied Informatics, John von Neumann Faculty of Informatics, Óbuda University
Hungary
András Molnár
Institute of Applied Informatics, John von Neumann Faculty of Informatics, Óbuda University
Hungary