首页|"禁抗"时代人工智能技术在药食同源中药资源饲料化开发中的应用策略探索

"禁抗"时代人工智能技术在药食同源中药资源饲料化开发中的应用策略探索

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
在"禁抗"时代背景下,药食同源中药资源饲料化是抗生素替代品开发领域的研究热点.如何以药食两用中药资源为原料开发出既有益农畜又保障营养平衡且精准的饲料产品成为了难题.人工智能技术在饲料生产和提高智能养殖效率方面具有独特优势.如将人工智能技术应用于药食同源中药资源饲料化开发中,在保证精准营养的基础上,也可以同时发挥药食同源中药的饲用价值和替抗价值.为了在药食同源中药资源饲料化开发领域更好地应用人工智能技术,该文使用CiteSpace软件进行了文献可视化分析,分析发现人工智能技术近年来在饲料配方优化领域有较好的应用.然而,药食同源中药资源智能化利用研究尚处空白.但是,人工智能技术应用于药食同源中药资源饲料化具有可行性.因此,该文首次提出药食同源中药饲料原料智能配方系统框架,以期为药食同源中药资源饲料化开发领域的研究和抗生素替代品开发领域的研究提供新思路,同时能够为当代畜牧业和中药产业开辟出一条崭新的绿色产业链.
Application strategy of artificial intelligence technology in feed-based development of medicinal and edible homologous traditional Chinese medicine(TCM)resources in era of the"antibiotic ban"
In the context of the"antibiotic ban"era,the feed conversion of medicinal and edible traditional Chinese medicine(TCM)resources is a research hotspot in the field of antibiotic alternatives development.How to develop feed products that are beneficial to agriculture and livestock while ensuring nutrient balance and precision using medicinal and edible TCM resources as raw materials has become a challenge.Artificial intelligence(AI)technology has unique advantages in feed production and improving the efficiency of intelligent breeding.If AI technology is applied to the feed development of medicinal and edible TCM resources,it is possible to realize feeding and antibiotic-replacement value while ensuring precise nutrition.In order to better apply AI technology in the field of feed development of medicinal and edible TCM resources,this article used CiteSpace software to carry out literature visualization analysis and found that AI technology had a good application in the field of feed formulation optimization in recent years.However,there is still a gap in the research on the intelligent utilization of medicinal and edible TCM resources.Nonetheless,it is feasible for AI technology to be applied to the feed conversion of medicinal and edible TCM resources.Therefore,this article proposed for the first time an intelligent formulation system framework for feed materials derived from medicinal and edible TCM resources to provide new ideas for research in the field of feed development of medicinal and edible TCM resources and the research on the development of antibiotic alternatives.At the same time,it can pave the way for a new green industry chain for contemporary animal husbandry and the TCM industry.

medicinal and edible traditional Chinese medicine(TCM)artificial intelligenceintelligent algorithmprecision nutri-tionfeed formulation optimizationvisual analysis

邵芊芊、肖平、张霞、郭盛、段金廒

展开 >

南京中医药大学 江苏省中药资源产业化过程协同创新中心 中药资源产业化与方剂创新药物国家地方联合工程研究中心 国家中医药管理局中药资源循环利用重点研究室, 江苏 南京 210023

南京中医药大学 人工智能与信息技术学院, 江苏 南京 210023

药食同源中药 人工智能 智能算法 精准营养 饲料配方优化 可视化分析

江苏省中医药科技发展计划项目江苏省中药资源产业化过程协同创新中心重点项目南京中医药大学自然科学基金青年项目中央本级重大增减支项目宁夏重点研发计划重点项目国家中医药管理局中医药创新团队及人才支持计划项目江苏高校哲学社会科学研究一般项目

MS2021004ZDXM-2022-06NZY8170364220603022020BFH02013ZYYCXTD-D-2020052021SJA0337

2024

10.19540/j.cnki.cjcmm.20230905.102

中国中药杂志
中国药学会

中国中药杂志

CSTPCD北大核心
影响因子：1.718
ISSN：1001-5302
年,卷(期)：2024.49(2)
  • 40