Data for: A Low Shot Learning Method for Tea Leaf’s Disease Identification

Published: 27 Jun 2019 | Version 1 | DOI: 10.17632/dbjyfkn6jr.1

Description of this data

The data contain 120 images of 3 types of tea leaf's diseases, namely tea red scab, tea red leaf spot and tea leaf blight. Part of the tea leaf's disease images are taken in Tianjingshan National Forest Park of China,Its geographical coordinates are 31° 14′ 37′′ north latitude, 117° 36′ 16′′ east longitude, and 40 meters above sea level. The hand-held digital camera for photography is Canon EOS 80D SLR camera, and the unmanned aerial vehicle used for photography is the DJI phantom 4pro, whose flight altitude is 10 meters.Another part of the tea leaf's disease images come from Anhui Provincial Agricultural Committee's pest and disease agricultural graphic database.

Experiment data files

This data is associated with the following publication:

A low shot learning method for tea leaf’s disease identification

Published in: Computers and Electronics in Agriculture

Latest version

  • Version 1

    2019-06-27

    Published: 2019-06-27

    DOI: 10.17632/dbjyfkn6jr.1

    Cite this dataset

    hu, gensheng; wu, haoyu; zhang, yan; wan, mingzhu (2019), “Data for: A Low Shot Learning Method for Tea Leaf’s Disease Identification”, Mendeley Data, v1 http://dx.doi.org/10.17632/dbjyfkn6jr.1

Statistics

Views: 471
Downloads: 38

Categories

Monitoring in Agriculture

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

Report