Evidence map›Paper›PMID 40269065›Full record

ArticleScientific reports2025

Implementation of a wireless sensor network for irrigation management in drip irrigation systems.

Mehmet Kamil Meriç

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

1 author.

Mehmet Kamil MeriçEge University Bergama Vocational School, 35700, İzmir, Türkiye. m.kamil.meric@ege.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water scarcity and inefficient irrigation practices pose significant challenges to modern agriculture, particularly in semi-arid regions. Traditional irrigation methods often lead to excessive water consumption and uneven water distribution, reducing overall efficiency and sustainability. Effective water management in irrigated agriculture is crucial for maintaining high crop productivity and alleviating water scarcity. To improve water management techniques, the integration of drip irrigation systems with wireless sensor networks (WSNs) was investigated herein. In the proposed system, valve control and soil moisture monitoring nodes were added to obtain real-time data on irrigation water volume (IWV), flowrate, pipe inlet pressure, and soil moisture within the WSN. The hardware and software designs of the soil moisture monitoring and valve control nodes were created, including the selection of components, specific functionalities of software algorithms, and communication protocols used for data transmission. A field test was performed in an olive orchard to assess the performance of the proposed system during the irrigation season. The results showed that soil moisture content varied between 42.0% and 24.4%, 44.6% and 25.9%, and 46.7% and 30.2% at different depths, validating the system's capability to optimize irrigation scheduling. The system's automated valve control capability enabled the precise application of irrigation water volume of 2,209 m

Indexed as

Drip irrigation systemFlow rate monitoringOlive treePressure monitoringSoil moisture monitoringWireless sensor network

Identifiers

PMID40269065
PMCPMC12019383

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.