Title:
PLANT SPECIES IDENTIFICATION METHOD AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2020/181706
Kind Code:
A1
Abstract:
Disclosed in the present application are a plant species identification method and apparatus, the method comprising: performing resolution pre-processing on plant sample images to obtain plant sample images of a first preset resolution; acquiring a corresponding plurality of plant sample sub-images of a second preset resolution at a plurality of preset positions on the plant sample images of a first preset resolution; using the plant sample sub-images of a second preset resolution corresponding to the plurality of preset positions to respectively establish a training sample set and a test sample set corresponding to the plurality of preset positions; respectively using the training sample set corresponding to the plurality of preset positions to train a plurality of ResNet50 convolutional neural network models until the identification results of identification of the corresponding test sample set by each trained model corresponding to the plurality of preset positions satisfies a preset training finishing condition; and receiving plant images to be recognised and using the trained models to identify the species of the plant images to be identified.
Inventors:
REN JIAXIANG (CN)
MA JIN (CN)
WANG JIANZONG (CN)
MA JIN (CN)
WANG JIANZONG (CN)
Application Number:
PCT/CN2019/097891
Publication Date:
September 17, 2020
Filing Date:
July 26, 2019
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06K9/62; G06N3/04; G06Q50/02
Foreign References:
| CN107145879A | 2017-09-08 | |||
| CN101916382A | 2010-12-15 | |||
| CN107527069A | 2017-12-29 | |||
| CN108520247A | 2018-09-11 | |||
| US20130136312A1 | 2013-05-30 |
Other References:
KIM, EAL ET AL.: "Deep Convolution and Up-Convolution Network for Plant Segmentation", 2018 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 27 January 2018 (2018-01-27), XP033343170, DOI: 20191113165400Y
Attorney, Agent or Firm:
BEIJING STRONG WISDOM INTELLECTUAL PROPERTY AGENCY LTD. (CN)
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