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母猪精准养殖智能感知技术研究进展

刘龙申 柳荦 周杰 欧扬森 薛鸿翔

华南农业大学学报2024,Vol.45Issue(5):635-648,14.
华南农业大学学报2024,Vol.45Issue(5):635-648,14.DOI:10.7671/j.issn.1001-411X.202404037

母猪精准养殖智能感知技术研究进展

Research progress on precision breeding and intelligent sensing technologies for sows

刘龙申 1柳荦 2周杰 3欧扬森 3薛鸿翔4

作者信息

  • 1. 南京农业大学人工智能学院,江苏南京 210031||农业农村部养殖装备重点实验室,江苏南京 210031
  • 2. 农业农村部养殖装备重点实验室,江苏南京 210031||南京农业大学动物医学院,江苏南京 210095
  • 3. 南京农业大学人工智能学院,江苏南京 210031
  • 4. 农业农村部养殖装备重点实验室,江苏南京 210031||南京农业大学工学院,江苏南京 210031
  • 折叠

摘要

Abstract

The growth conditions,reproductive performance,and health status of sows are important indicators for swine farm management.It directly relates to the economic benefits of pig farm.There are still prominent problems for sow farming in China,such as low level of production management intelligence,inefficient health management,and low productivity,which restrict the high-quality development of breeding industry in China.This article reviewed the research and development status of growth,physiological and health monitoring in precision breeding management of sows from three aspects,including sow growth information perception technology,reproductive behavior monitoring technology,and health status perception technology.The weak links of precision breeding technologies for sows were analyzed.The suggestions for the construction of future intelligent control system for sow breeding were proposed,and the development trends of precision breeding technologies for sows were prospected.This work aims to provide references for the green,efficient and intelligent transformation and upgrading of pig farming industry and the construction of intelligent pig farm in China.

关键词

精准养殖/母猪/养猪场/智能感知/行为表型监测/健康管理

Key words

Precision breeding/Sow/Pig farm/Intelligent sensing/Behavioral phenotype monitoring/Health management

分类

农业科技

引用本文复制引用

刘龙申,柳荦,周杰,欧扬森,薛鸿翔..母猪精准养殖智能感知技术研究进展[J].华南农业大学学报,2024,45(5):635-648,14.

基金项目

国家重点研发计划(2021YFD2000805) (2021YFD2000805)

国家自然科学基金(32272929) (32272929)

华南农业大学学报

OA北大核心CSTPCD

1001-411X

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