Evidence map›Paper›PMID 34372355›Full record

ArticleSensors (Basel, Switzerland)2021

Monitoring Soil and Ambient Parameters in the IoT Precision Agriculture Scenario: An Original Modeling Approach Dedicated to Low-Cost Soil Water Content Sensors.

Pisana Placidi, Renato Morbidelli, Diego Fortunati, Nicola Papini, Francesco Gobbi, Andrea Scorzoni

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Pisana PlacidiDipartimento di Ingegneria, University of Perugia, 06125 Perugia, Italy.ORCID 0000-0002-5408-5180
Renato MorbidelliDipartimento di Ingegneria Civile e Ambientale, University of Perugia, 06125 Perugia, Italy.ORCID 0000-0001-8388-2149
Diego FortunatiDipartimento di Ingegneria, University of Perugia, 06125 Perugia, Italy.
Nicola PapiniDipartimento di Ingegneria, University of Perugia, 06125 Perugia, Italy.
Francesco GobbiDipartimento di Ingegneria, University of Perugia, 06125 Perugia, Italy.
Andrea ScorzoniDipartimento di Ingegneria, University of Perugia, 06125 Perugia, Italy.

Funding

Università degli Studi di Perugia Ricerca di base 2018-RICBA18-PPUniversità degli Studi di Perugia Ricerca di base 2019-RICBA19-PPUniversità degli Studi di Perugia Ricerca di base 2020-RICBA 20-PP
6 · The paper itself

Abstract

A low power wireless sensor network based on LoRaWAN protocol was designed with a focus on the IoT low-cost Precision Agriculture applications, such as greenhouse sensing and actuation. All subsystems used in this research are designed by using commercial components and free or open-source software libraries. The whole system was implemented to demonstrate the feasibility of a modular system built with cheap off-the-shelf components, including sensors. The experimental outputs were collected and stored in a database managed by a virtual machine running in a cloud service. The collected data can be visualized in real time by the user with a graphical interface. The reliability of the whole system was proven during a continued experiment with two natural soils, Loamy Sand and Silty Loam. Regarding soil parameters, the system performance has been compared with that of a reference sensor from Sentek. Measurements highlighted a good agreement for the temperature within the supposed accuracy of the adopted sensors and a non-constant sensitivity for the low-cost volumetric water contents (VWC) sensor. Finally, for the low-cost VWC sensor we implemented a novel procedure to optimize the parameters of the non-linear fitting equation correlating its analog voltage output with the reference VWC.

Indexed as

SoilWaterAgricultureReproducibility of ResultsTemperatureSoilWaterdistributed sensingIoT measurementsLoRaLoRaWAN™moisture sensorPrecision Agriculturesensor networkssoil water contentwireless communication

Identifiers

PMID34372355
PMCPMC8348011

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.