Evidence map›Paper›PMID 40245364›Full record

ArticlePloS one2025

Design and development of an irrigation monitoring and control system based on blynk internet of things and thingspeak.

Fahmy Rinanda Saputri, Ricardo Linelson, Muhammad Salehuddin, Danial Md Nor, Muhammad Imran Ahmad

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Fahmy Rinanda SaputriDepartment of Engineering Physics, Universitas Multimedia Nusantara, Tangerang, Indonesia.ORCID 0000-0002-2247-9361
Ricardo LinelsonDepartment of Engineering Physics, Universitas Multimedia Nusantara, Tangerang, Indonesia.
Muhammad SalehuddinDepartment of Engineering Physics, Universitas Multimedia Nusantara, Tangerang, Indonesia.
Danial Md NorDepartment of Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia.
Muhammad Imran AhmadInstitute of Sustainable Agrotechnology (INSAT), Universiti Malaysia Perlis, Arau, Perlis, Malaysia.ORCID 0000-0002-9157-5998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scarcity of water resources exacerbated by climate change poses a major challenge for sustainable agriculture. This study presents an Internet of Things (IoT)-enabled irrigation system designed for real-time monitoring and precise water control. Using the Blynk platform and ThingSpeak for data management, the system integrates sensors for soil moisture, temperature, and humidity with a NodeMCU module to optimize irrigation practices. Initial results demonstrate the system's effectiveness in improving water use efficiency and supporting sustainable agricultural practices, providing a low-cost, accessible solution for small and medium-scale farmers.

Indexed as

Agricultural IrrigationInternet of ThingsClimate ChangeHumansHumidityInternetSoilTemperatureSoil

Identifiers

PMID40245364
PMCPMC12005828

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.