摘要
动物饲料配方优化一直是畜牧业生产中的关键问题,饲料配方的合理性直接影响着畜禽的生长发育和生产性能。传统的饲料配方主要是基于经验公式和专家知识,存在配方精度低、适应性差等问题。随着数据驱动技术的快速发展,利用大数据技术和先进算法优化动物饲料配方成为可能,这为提高动物饲料配方的科学性和精准性提供了新的途径。因此,基于数据驱动的动物饲料配方优化系统的研究具有重要的理论和实际意义。在此背景下,本文旨在探讨如何运用数据驱动技术优化动物饲料配方,提高畜禽生产效率和经济效益。
The optimization of animal feed formulas has always been a key issue in animal husbandry production,and the rationality of feed formulas directly affects the growth,development,and production performance of livestock and poultry.Traditional feed formulas are mainly based on empirical formulas and expert knowledge,which have problems such as low formula accuracy and poor adaptability.With the rapid development of data-driven technology,it is possible to optimize feed formulas using big data and advanced algorithms,which provides a new way to improve the scientific and accurate nature of feed formulas.Therefore,the research on data-driven animal feed formula optimization system has important theoretical and practical significance.In this context,this article aims to explore how to use data-driven technology to optimize animal feed formulas,improve livestock and poultry production efficiency and economic benefits.
作者
王智军
刘晗璐
WANG Zhijun;LIU Hanlu(Chifeng University,Chifeng,Inner Mongolia 024000,China)
出处
《中国饲料》
北大核心
2024年第10期120-123,共4页
China Feed
基金
内蒙古自治区重点研发和成果转化计划项目(2022YFDZ0072)。
