中国畜牧杂志2026，Vol.62Issue(7)：1-8,24,9.DOI:10.19556/j.0258-7033.20260325-05
猪全产业链数据智能采集技术研究进展
Research Progress on Intelligent Data Collection Technology for the Pig Full Industry Chain
摘要
Abstract
Data-driven intelligent collection technology serves as the core driver for advancing the entire swine farming industry chain toward intelligent upgrades.It primarily encompasses critical aspects such as environmental control,growth performance monitoring,health management,breeding,as well as meat processing.In environmental control,sensor networks that monitor ammonia levels,temperature,and humidity enable dynamic optimization of environmental control parameters.For growth performance monitoring,machine vision and automated feed intake recording technologies are employed to construct dynamic nutritional models.For health detection,infrared thermal imaging and sound recognition technologies enable early disease warning;in reproductive management,estrus monitoring systems and embryonic ultrasound imaging effectively reduce non-productive days;in breeding,SNP chips and automated phenotype collection enhance genetic evaluation accuracy;and in meat processing,multiple predictive models are used to assess meat quality.This paper reviews research progress in intelligent data collection technologies across the entire"farming-breeding-processing"workflow.It aims to provide theoretical references for digital monitoring and precision decision-making in the swine industry while supporting the in-depth application of intelligent collection technologies.关键词
智能采集技术/环控智能调控/高通量测序/机器学习/SNP芯片Key words
Intelligent data acquisition technology/Environmental control intelligent regulation/High-throughput sequencing/Machine learning/SPN chip分类
农业科技引用本文复制引用
符嘉玲,侯灵睿,孙敬春,刘炎,徐康,印遇龙..猪全产业链数据智能采集技术研究进展[J].中国畜牧杂志,2026,62(7):1-8,24,9.基金项目
岳麓山实验室种业专项项目资助(YLS-2025-ZY01002) （YLS-2025-ZY01002）
云南省科技人才与平台计划(202505AT350004) （202505AT350004）
农业生物育种国家科技重大专项(2023ZD04046) （2023ZD04046）
湖南省科技创新计划资助(2023RC3204) （2023RC3204）
国家自然科学基金项目资助(32494800 （）
32372913) （）
