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Design of an Intelligent Tobacco Farmer Scoring Management System

Author(s)

Quan Gao1, Tiancheng Lu1, Zaosong Li1, Jing Liu2, Jingfang He2, Kun Feng2, Ying Kun Luo2,*

Affiliation(s)

1School of Big Data, Yunnan Agricultural University, Kunming 650201, China 2Lijiang Tobacco Company of Yunnan Province, Lijiang, Yunnan 674800, China *Corresponding author.

Abstract

This paper presents a comprehensive study of tobacco farmers in Lijiang, Yunnan Province. The design of the intelligent score system for tobacco farmers focuses on evaluating factors such as basic farmer information, purchasing data, and tobacco planting management levels. By analyzing and assessing these data, the system generates a comprehensive score for each farmer. The system employs multiple integrated technologies and includes features like system administrator permissions, WeChat mini-program geographic positioning for survey forms, and basic farmer data collection. It imports and processes field planting and purchasing data and offers automatic scoring capabilities. This scientific evaluation system allows for a more rational allocation of tobacco planting areas, regulates farming practices, prevents adverse effects of large-scale planting, promotes effective land use, and ensures stable farmer incomes as well as the quality and yield of tobacco leaves.

Keywords

Tobacco Farmer Scoring; Management System; SpringBoot; Vue; Uniapp

References

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