Prospect and problem analysis of industry data application in livestock and poultry breeding

Authors

Yiran CHEN, CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China; Zhongke Jieyun (Beijing) Information Technology Co. Ltd., Beijing 101499, ChinaFollow
Zhuqing XIONG, CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China
Jiaogen ZHOU, School of Geography and Planning, Huaiyin Normal University, Huai’an 223300, China
Quan WANG, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
Jiancheng SHU, Tangrenshen Group Co. Ltd., Zhuzhou 412009, China
Yinfa YAN, College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China
Lanlin YANG, Zhongke Jieyun (Beijing) Information Technology Co. Ltd., Beijing 101499, China
Zemeng FENG, CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, ChinaFollow
Benhai XIONG, State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100091, China
Yulong YIN, CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China

Keywords

big data; livestock and poultry breeding industry; market transactions; entire industry chain; marketization; transformation and upgrade; data value

Document Type

Policy & Management Research

Abstract

Livestock and poultry breeding is a pillar industry in China. The massive data in livestock and poultry breeding is a valuable resource. The market-oriented utilization of livestock and poultry breeding data plays an important role in improving industry standards, increasing industry profits, and driving the development of the entire industry chain. Currently, based on the demand for marketization of livestock and poultry breeding data, the application of new generation information technologies such as artificial intelligence and the Internet of Things in the process of livestock and poultry breeding to collect breeding process data, after de-sensitization and de-classification, through cloud computing, big data and other technologies to develop livestock and poultry breeding data products. These data products can not only provide services such as industry data visualization, breeding management, decision support, etc., but also endow the livestock and poultry breeding data market with transaction attributes, allowing it to circulate and be reasonably utilized in the market economy, maximizing the value creation of the livestock and poultry breeding industry chain. In the future, the market-oriented application of livestock and poultry breeding data will become more extensive and in-depth, which is a key part of the transformation and upgrading of traditional industries and is of great significance to the development of the industry. In view of this, this study proposes relevant suggestions on challenges and issues such as data collection, application standards, data ownership confirmation, and marketization construction to maximize the utilization of livestock and poultry breeding data value.

First page

1982

Last Page

1993

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

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Recommended Citation

CHEN, Yiran; XIONG, Zhuqing; ZHOU, Jiaogen; WANG, Quan; SHU, Jiancheng; YAN, Yinfa; YANG, Lanlin; FENG, Zemeng; XIONG, Benhai; and YIN, Yulong (2024) "Prospect and problem analysis of industry data application in livestock and poultry breeding," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 39 : Iss. 11 , Article 16.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20230823002
Available at: https://bulletinofcas.researchcommons.org/journal/vol39/iss11/16