智能化技术在猪场精细化管理中的应用、挑战与优化对策OA

The swine industry is a pillar sector of China's animal husbandry and a fundamental guarantee for the domestic meat supply.Despite the steady progress in large-scale and standardized breeding,traditional farming patterns still feature extensive environmental management,low feed utilization efficiency,inadequate breeding and epidemic prevention capabilities,heavy manure treatment pressure,and insufficient digital transformation,all of which hinder the high-quality development of the industry.Smart pig breeding has achieved phased progress in recent years.Intelligent technologies represented by the Internet of Things,big data,and automatic control provide solid support for the refined and digital upgrading of pig farms.This paper summarizes the application effects of intelligent breeding technologies across six scenarios,including intelligent environmental control,precise feeding,intelligent breeding,smart epidemic prevention,manure resource utilization,and digital management.This study also analyzes prominent challenges,including poor technical adaptability,high renovation costs,talent shortages,and inconsistent data standards,and proposes corresponding optimization strategies.The findings aim to facilitate the iterative upgrading of large-scale pig farms and promote the green,efficient,and sustainable development of the swine industry.