Author
Listed:
- Buyu Wang
- Jingwei Qi
- Zaoli Yang
Abstract
Aiming at the problem that the traditional talent training mode is difficult to cultivate the intelligent animal husbandry compound talents needed by the implementation of the rural revitalization strategy, a cloud animal husbandry platform is designed to cultivate “Understand Agriculture, devote to Rural Community and Be Sincere to Farmers†compound talents. The platform adopts the two-wing multilevel architecture design of the concept of the cloud side, which is composed of three parts: the data center platform, resource sharing platform, and business cloud service platform. The data center platform is responsible for the collection, processing, integration, and asset management of the four-dimensional real data and provides computing, storage, and data asset services for the cloud livestock platform. The resource sharing platform provides sharing services from resources and development kits to carriers. Livestock cloud service platform is to carry out the integration of industry, education, and science and education, the design and implementation of cloud teaching, cloud scientific research, and cloud breeding business cloud services. Through its practical application in many universities and enterprises, the platform is verified to be safe, effective, and reliable in teaching, scientific research, and social services and has both operational and promotional value.
Suggested Citation
Buyu Wang & Jingwei Qi & Zaoli Yang, 2022.
"Research on the Intelligent Cloud Animal Husbandry Platform,"
Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, September.
Handle:
RePEc:hin:jnlmpe:4940511
DOI: 10.1155/2022/4940511
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