Training System of New Rural Professional Farmers Based on Collaborative Filtering

DOI

10.2991/978-94-6463-102-9_39How to use a DOI?

Keywords

Collaborative filtering; Rural new vocational farmer training system; System architecture; User portrait; Resource matching; Fitness

Abstract

Cultivating new agricultural operators is an important measure to implement the strategy of rural revitalization, and the training of professional farmers is the key to speed up the construction of new professional farmers. Because the existing training system does not consider the different learning needs of different individuals, the user's satisfaction with the training system is low under the unified output mode. Therefore, this paper proposes a new type of rural professional farmer training system based on collaborative filtering. In this paper, MYD-JA5D2X development board is used as the core component of the system architecture, and efficient interfaces are set up to meet the operational requirements of the system. In the logical design of system operation, user portraits including age, education, agricultural field, retrieval records and browsing records are constructed, and the resources with the highest degree of fitting with the actual needs of users are matched according to user portraits in massive training resources by means of collaborative filtering. The test results show that the user's learning time for the output resources of the design system is more than 70%, and the satisfaction rate is 96. 5%.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qi Wang
PY  - 2022
DA  - 2022/12/29
TI  - Training System of New Rural Professional Farmers Based on Collaborative Filtering
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 366
EP  - 373
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_39
DO  - 10.2991/978-94-6463-102-9_39
ID  - Wang2022
ER  -