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[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"].
Shao, Qian-Qian; Xiao, Ping; Zhang, Xia; Guo, Sheng; Duan, Jin-Ao.
Afiliação
  • Shao QQ; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, Nation
  • Xiao P; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, Nation
  • Zhang X; College of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine Nanjing 210023, China.
  • Guo S; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, Nation
  • Duan JA; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Key Laboratory of Chinese Medicinal Resources Recycling Utilization, Nation
Zhongguo Zhong Yao Za Zhi ; 49(2): 344-353, 2024 Jan.
Article em Zh | MEDLINE | ID: mdl-38403310
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicamentos de Ervas Chinesas / Medicina Tradicional Chinesa Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicamentos de Ervas Chinesas / Medicina Tradicional Chinesa Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article