Article Details

Abstract

The management of horse passports is an important task in the informatization process of Xinjiang horse industry, and designing a reasonable horse passport and managing it through informatization are of particular importance. However, in the existing passport management task, there are problems such as unreasonable design of passport content, lack of anti-counterfeiting detection methods, absence of an informatization management platform, and the necessity of manually drawing the appearance characteristics of horses. To solve the above problems, the horse passport is redesigned to make its content more in line with the needs of Xinjiang horse industry. The function of automatically generating passports is completed through the informatization management platform, and a unique passport number is generated for each passport. In addition, the automatic recognition and drawing of horse characteristics are achieved through Artificial Intelligence method. The above informatization management method of horse passports not only greatly improves the scientific and intelligent levels of horse management, but also injects new momentum into the modernization of animal husbandry.

Keywords

Xinjiang horse industry; passport management; appearance characteristics; intelligent recognition

References

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Funding

Major Science and Technology Project of Xinjiang Uygur Autonomous Region (2022A02013-4-5); National College Student Innovation Project (202310758018)

About the authors

Zhang Shuhao (2002-), male, Han ethnicity, from Zhoukou, Henan Province, undergraduate studies, research direction: agricultural informatization; Corresponding author: Zhao Xinmiao (1990-), female, Han ethnicity, from Heze, Shandong, laboratory technician, master's degree, research direction: agricultural informatization; Dilixati Dulikun (1993-), male, Uyghur, from Kashgar, Xinjiang, holds a master's degree and specializes in agricultural informatization; Zhao Tao (1989-), female, Han ethnicity, from Wuwei, Gansu Province, lecturer, master's degree, research direction: agricultural informatization.