Title:
PIG BODY SIZE AND WEIGHT ESTIMATION METHOD BASED ON DEEP LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/060777
Kind Code:
A1
Abstract:
The present invention relates to the technical field of deep learning. Provided are a pig body size and weight estimation method based on deep learning. According to the present invention, a convolutional neural network is used for predicting the weight of a pig, and related features are obtained by means of learning by the convolutional neural network, and there is no need to construct feature engineering for extraction, such that extracted features are more comprehensive; the convolutional neural network is superior to a linear model in terms of dealing with noise data and data nonlinearity problems; and a pig image is captured using a universal 2D color camera, and the device price is low, such that the cost for implementing the present technical solution is low.
Inventors:
XIAO DEQIN (CN)
LIU JUNBIN (CN)
LIU YOUFU (CN)
YANG QIUMEI (CN)
HUANG YIGUI (CN)
YANG WENTAO (CN)
ZHAO SHENGQIU (CN)
BIAN ZHIYI (CN)
LIU JUNBIN (CN)
LIU YOUFU (CN)
YANG QIUMEI (CN)
HUANG YIGUI (CN)
YANG WENTAO (CN)
ZHAO SHENGQIU (CN)
BIAN ZHIYI (CN)
Application Number:
PCT/CN2021/142936
Publication Date:
April 20, 2023
Filing Date:
December 30, 2021
Export Citation:
Assignee:
UNIV SOUTH CHINA AGRICULT (CN)
International Classes:
G06V20/20; G06N3/04; G06N3/08; G06V10/24; G06V10/26; G06V10/774; G06V20/68
Foreign References:
| CN110426112A | 2019-11-08 | |||
| CN109141248A | 2019-01-04 | |||
| CN113096178A | 2021-07-09 |
Other References:
KAIMING HE; GEORGIA GKIOXARI; PIOTR DOLL\AR; ROSS GIRSHICK: "Mask R-CNN", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 20 March 2017 (2017-03-20), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081305537
Attorney, Agent or Firm:
YOGO PATENT AND TRADEMARK AGENCY LIMITED COMPANY (CN)
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