猪全产业链数据智能采集技术研究进展OA

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.