Evidence map›Paper›PMID 36837963›Full record

ArticleMicromachines2023

Internet of Things (IoT) for Soil Moisture Tensiometer Automation.

Ahmed Ali Abdelmoneim, Roula Khadra, Bilal Derardja, Giovanna Dragonetti

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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 at 1 institution in 1 country.

Ahmed Ali AbdelmoneimSustainable Water and Land Management in Agriculture, CIHEAM Bari, 70010 Valenzano, Bari, Italy.ORCID 0000-0003-1513-2447
Roula KhadraSustainable Water and Land Management in Agriculture, CIHEAM Bari, 70010 Valenzano, Bari, Italy.ORCID 0000-0003-2117-1557
Bilal DerardjaSustainable Water and Land Management in Agriculture, CIHEAM Bari, 70010 Valenzano, Bari, Italy.ORCID 0000-0002-6251-8601
Giovanna DragonettiSustainable Water and Land Management in Agriculture, CIHEAM Bari, 70010 Valenzano, Bari, Italy.
International Centre for Advanced Mediterranean Agronomic Studies · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring of water retention behavior in soils is an essential process to schedule irrigation. To this end, soil moisture tensiometers usually equipped with mechanical manometers provide an easy and cost-effective monitoring of tension in unsaturated soils. Yet, periodic manual monitoring of many devices is a tedious task hindering the full exploitation of soil moisture tensiometers. This research develops and lab validates a low cost IoT soil moisture tensiometer. The IoT-prototype is capable of measuring tension up to -80 Kpa with R

Indexed as

BMP180ESP32IoT irrigationmicrocontrollerprecision agriculturesensors

Identifiers

PMID36837963
PMCPMC9967655
OpenAlexW4317624083

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.