Evidence map›Paper›PMID 39814785›Full record

ArticleScientific reports2025

The intelligent selenium-enriched tea withering control system.

Shuang Ren, Sanjun Liu, Jinzhao Fan, Didi Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shuang RenCollege of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi, 445000, China.
Sanjun LiuCollege of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi, 445000, China. 2017067@hbmzu.edu.cn.
Jinzhao FanCollege of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi, 445000, China.
Didi LuCollege of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi, 445000, China.

Funding

Enshi State Science and Technology Bureau XYJ2022000006Hubei Minzu University MYK2024077Hubei Minzu University MYK2024083
6 · The paper itself

Abstract

This paper addresses the low level of intelligence in tea processing equipment in Enshi Prefecture by designing an intelligent withering control system based on the STMicroelectronics 32-bit Microcontroller (STM32). This control system can achieve real-time monitoring of the withering environment and automate the control of heating and ventilation dehumidification modules. By integrating IoT technology, relevant users can view the tea production process via mobile devices, enabling intelligent and remote production operations. Application results show that the system operates stably, accurately measures temperature and humidity in the withering environment, and achieves a control precision of [Formula: see text]% through a fuzzy control algorithm. It effectively meets the needs of tea processing in Enshi Prefecture. The system not only optimizes traditional processing workflows, enhancing processing efficiency and tea quality, but also provides new technological means for tea processing enterprises, contributing to the development and upgrading of the local tea industry.

Indexed as

Online monitoringSTM32Tea processing

Identifiers

PMID39814785
PMCPMC11735991

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.