Evidence map›Paper›PMID 36904674›Full record

ArticleSensors (Basel, Switzerland)2023

Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring.

Lien Smeesters, Jef Verbaenen, Luca Schifano, Michael Vervaeke, Hugo Thienpont, Giancarlo Teti, Alessio Forconi, Filippo Lulli

Full text read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

8 authors.

Lien SmeestersBrussels Photonics (B-PHOT) and Flanders Make, Department of Applied Physics and Photonics, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.ORCID 0000-0002-2431-1052
Jef VerbaenenBrussels Photonics (B-PHOT) and Flanders Make, Department of Applied Physics and Photonics, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
Luca SchifanoBrussels Photonics (B-PHOT) and Flanders Make, Department of Applied Physics and Photonics, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
Michael VervaekeBrussels Photonics (B-PHOT) and Flanders Make, Department of Applied Physics and Photonics, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
Hugo ThienpontBrussels Photonics (B-PHOT) and Flanders Make, Department of Applied Physics and Photonics, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.ORCID 0000-0003-0483-0960
Giancarlo TetiRobotech, Via Mazzini 82, 19038 Sarzana, SP, Italy.
Alessio ForconiTurf Europe, Via Malasoma 24, 56122 Pisa, PI, Italy.
Filippo LulliTurf Europe, Via Malasoma 24, 56122 Pisa, PI, Italy.ORCID 0000-0002-4839-5668

Funding

ARTES 4.0 xEuropean Union 779472 (ACTPHAST 4.0)Flanders Make xInterreg NWE758Methusalem and Hercules Foundations xOZR of the Vrije Universiteit Brussel x
6 · The paper itself

Abstract

Sustainably using resources, while reducing the use of chemicals, is of major importance in agriculture, including turfgrass monitoring. Today, crop monitoring often uses camera-based drone sensing, offering an accurate evaluation but typically requiring a technical operator. To enable autonomous and continuous monitoring, we propose a novel five-channel multispectral camera design suitable for integrating it inside lighting fixtures and enabling the sensing of a multitude of vegetation indices by covering visible, near-infrared and thermal wavelength bands. To limit the number of cameras, and in contrast to the drone-sensing systems that show a small field of view, a novel wide-field-of-view imaging design is proposed, featuring a field of view exceeding 164°. This paper presents the development of the five-channel wide-field-of-view imaging design, starting from the optimization of the design parameters and moving toward a demonstrator setup and optical characterization. All imaging channels show an excellent image quality, indicated by an MTF exceeding 0.5 at a spatial frequency of 72 lp/mm for the visible and near-infrared imaging designs and 27 lp/mm for the thermal channel. Consequently, we believe our novel five-channel imaging design paves the way toward autonomous crop monitoring while optimizing resource usage.

Indexed as

camera designdemonstrator setupmodulation transfer functionmultispectral camerathermal imagingturfgrass monitoringvegetation indiceswide field of view

Identifiers

PMID36904674
PMCPMC10007062

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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.