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.
关键词
数据驱动/动物饲料/饲料配方/优化系统/经济效益
Key words
data-driven/animal feed/feed formula/optimize the system/economic benefits
维普
万方数据