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首页|期刊导航|黑龙江畜牧兽医|智能化精准饲喂系统中猪群采食行为监测与饲料配给算法研究进展

智能化精准饲喂系统中猪群采食行为监测与饲料配给算法研究进展

苏波 李元超 李静 徐锋 段崇晖 崔大勇 吴开朋 郎艳霞

黑龙江畜牧兽医Issue(3):43-47,5.
黑龙江畜牧兽医Issue(3):43-47,5.DOI:10.13881/j.cnki.hljxmsy.2025.09.0052

智能化精准饲喂系统中猪群采食行为监测与饲料配给算法研究进展

Advances in feeding behavior monitoring and feed allocation algorithms for intelligent precision swine feeding systems

苏波 1李元超 1李静 2徐锋 3段崇晖 1崔大勇 4吴开朋 5郎艳霞6

作者信息

  • 1. 平邑县农业农村局,山东 平邑 273300
  • 2. 平邑县温水镇公共文化和农业农村发展服务中心,山东 平邑 273300
  • 3. 齐鲁师范学院,济南 250200
  • 4. 平邑县地方镇公共文化和农业农村发展服务中心,山东 平邑 273300
  • 5. 平邑县流峪镇畜牧兽医站,山东 平邑 273300
  • 6. 山东铝业职业学院,山东 淄博 255000
  • 折叠

摘要

Abstract

Intelligent precision feeding is a key approach in modern pig production to improve feed efficiency and promote sustainable farming.This review summarized feeding behavior monitoring methods including RFID with electronic feeders,load-cell sensors,video recognition,and audio detection and analyzed their strengths and limitations.It further examined feed allocation algorithms,from mechanistic nutrition and reinforcement learning models to data-driven and optimization approaches,highlighting their role in individualized nutrition.Finally,future trends such as multimodal sensing,intelligent algorithm evolution,cloud-edge integration deployment,and green and low-carbon feeding strategies were discussed.

关键词

智能化精准饲喂/采食行为监测/饲料配给模型/多模态感知/绿色养殖

Key words

intelligent precision feeding/feeding behavior monitoring/feed allocation model/multimodal sensing/green farming

分类

农业科技

引用本文复制引用

苏波,李元超,李静,徐锋,段崇晖,崔大勇,吴开朋,郎艳霞..智能化精准饲喂系统中猪群采食行为监测与饲料配给算法研究进展[J].黑龙江畜牧兽医,2026,(3):43-47,5.

基金项目

2023年农技推广体系改革与建设项目(SDGP371326000202402000184) (SDGP371326000202402000184)

2024年山东省科协智库决策咨询研究项目(24ZKYB027) (24ZKYB027)

黑龙江畜牧兽医

1004-7034

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