摘要
猪舍内的各种环境因子对畜禽的健康养殖具有重要影响,如何有效地预测猪舍环境因子的变化,有利于提高养猪经济效益。该文介绍了猪舍内湿热环境、空气质量的适宜范围,综述了猪舍预测模型的常用技术和方法,以及对猪舍内氨气(NH_(3))、二氧化碳(CO_(2))和温湿度的预测模型的研究进展,以期为猪舍智能化管理提供参考。
Various environmental factors within pig houses have a significant impact on the health and welfare of livestock and poultry.Effectively predicting changes in these environmental factors is essential for improving the economic efficiency of pig farming.This paper introduces the optimal ranges for thermal-humidity conditions and air quality within pig houses,reviews commonly used technologies and methods for prediction models in pig houses,and discusses recent research progress on predictive models for ammonia(NH_(3)),carbon dioxide(CO_(2)),temperature,and humidity.The aim is to provide a reference for the intelligent management of pig houses.
作者
邓永涛
尹苗
王聪
陈希文
DENG Yongtao;YIN Miao;WANG Cong;CHEN Xiwen(Animal Disease Prevention and Control and Healthy Breeding Engineering Technology Research Center,Mianyang Normal University,Mianyang,Sichuan,621000,China;Sichuan Research Center for Monitoring and Control of Major Pig Diseases,Mianyang,Sichuan,621000,China)
出处
《家畜生态学报》
北大核心
2025年第2期122-128,共7页
Journal of Domestic Animal Ecology
基金
四川省农业农村厅项目(SCNYTG20-184)
四川县域经济发展研究中心(xy2023030)
绵阳师范学院研究生科研基金项目(CX202312)。
关键词
猪舍
环境调控
预测模型
机器学习
计算流体力学
pigsty
environmental regulation
prediction model
machine learning
computational fluid dynamics
