Evidence map›Paper›PMID 40942993›Full record

ArticleSensors (Basel, Switzerland)2025

Development of Real-Time Water-Level Monitoring System for Agriculture.

Gaukhar Borankulova, Gabit Altybayev, Aigul Tungatarova, Bakhyt Yeraliyeva, Saltanat Dulatbayeva, Aslanbek Murzakhmetov, Samat Bekbolatov

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

7 authors.

Gaukhar BorankulovaDepartment of Information Systems, M.Kh. Dulaty Taraz University, Taraz 080000, Kazakhstan.ORCID 0000-0001-5701-8074
Gabit AltybayevDepartment of Radio Engineering, Electronics and Telecommunications, International Information Technologies University, Almaty 050040, Kazakhstan.ORCID 0000-0002-4542-4187
Aigul TungatarovaDepartment of Information Systems, M.Kh. Dulaty Taraz University, Taraz 080000, Kazakhstan.ORCID 0000-0001-7600-9608
Bakhyt YeraliyevaDepartment of Information Systems, M.Kh. Dulaty Taraz University, Taraz 080000, Kazakhstan.ORCID 0000-0002-8680-7694
Saltanat DulatbayevaDepartment of Information Systems, M.Kh. Dulaty Taraz University, Taraz 080000, Kazakhstan.ORCID 0000-0001-8155-7334
Aslanbek MurzakhmetovDepartment of Information Systems, M.Kh. Dulaty Taraz University, Taraz 080000, Kazakhstan.ORCID 0000-0002-5024-1174
Samat BekbolatovDepartment of Information Systems, M.Kh. Dulaty Taraz University, Taraz 080000, Kazakhstan.

Funding

Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan AP23489115
6 · The paper itself

Abstract

Water resource management is critical for sustainable agriculture, especially in regions like Kazakhstan that face significant water scarcity challenges. This paper presents the development of a real-time water-level monitoring system designed to optimize water use in agriculture. The system integrates IoT sensors and cloud technologies, and analyzes data on water levels, temperature, humidity, and other environmental parameters. The architecture comprises a data collection layer with solar-powered sensors, a network layer for data transmission, a storage and integration layer for data management, a data processing layer for analysis and forecasting, and a user interface for visualization and interaction. The system was tested at the Left Bypass Canal in Taraz, Kazakhstan, demonstrating its effectiveness in providing real-time data for informed decision-making. The results indicate that the system significantly improves water use efficiency, reduces non-productive losses, and supports sustainable agricultural practices.

Indexed as

internet of thingslow-cost sensorsvelocity measurementwater levelwater resource management

Identifiers

PMID40942993
PMCPMC12431106

What OpenQuestion holds

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Registered trials

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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.