Paper
22 May 2023 Distance education management system for high-tech agricultural talents based on cloud computing
Qi Wang, Guanghai Li, Jingang Song
Author Affiliations +
Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126400A (2023) https://doi.org/10.1117/12.2673662
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China
Abstract
The scale of school construction is becoming larger and larger, which requires that the traditional information management and processing need to be changed to adapt to the continuous development of society. How to use the means different from the traditional way to make corresponding changes and changes, and establish systematic and convenient information management has become an indispensable requirement. Only by establishing an intelligent management system, can data information be carried out effectively and quickly. This not only reduces the workload but also avoids the occurrence of errors affecting the normal teaching work. In this paper, part of the cloud platform data is obtained through the My SQL database provided. According to the cloud platform database, the information is obtained to help analyze the goal of user behavior. The remaining cloud platform data is obtained through the provided cloud platform API interface, and the data processing is collated and executed for subsequent use. This paper designs the management system of distance education for agricultural talents, and initially constructs a new operation model of the design education platform which adapts to the era of mobile Internet and conforms to educational reform. The experiment tells that the related design of this paper plays a positive role in the reform of design education and teaching in practice.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qi Wang, Guanghai Li, and Jingang Song "Distance education management system for high-tech agricultural talents based on cloud computing", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126400A (22 May 2023); https://doi.org/10.1117/12.2673662
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KEYWORDS
Clouds

Agriculture

Cloud computing

Education and training

Computing systems

Databases

Online learning

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