Data for: Deep Learning in Agriculture: A Survey

Published: 22 Feb 2018 | Version 1 | DOI: 10.17632/mhbzm2f74t.1
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Description of this data

Survey on the deep learning technique applied in agriculture.
Detailed review of 40 relevant research papers, examining research area and problem they focus on, technical details on deep learning models, sources of data, pre-processing and data augmentation techniques used, and overall performance achieved.

Experiment data files

This data is associated with the following publication:

Deep learning in agriculture: A survey

Published in: Computers and Electronics in Agriculture

Latest version

  • Version 1

    2018-02-22

    Published: 2018-02-22

    DOI: 10.17632/mhbzm2f74t.1

    Cite this dataset

    Kamilaris, Andreas; Prenafeta-Boldu, Francesc (2018), “Data for: Deep Learning in Agriculture: A Survey”, Mendeley Data, v1 http://dx.doi.org/10.17632/mhbzm2f74t.1

Statistics

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Downloads: 305

Categories

Agricultural Science, Deep Learning

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

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You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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