To Örebro University

oru.seÖrebro universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
MSI-RPi: Affordable, Portable, and Modular Multispectral Imaging Prototype Suited to Operate in UV, Visible and Mid-Infrared Regions
Örebro universitet, Institutionen för naturvetenskap och teknik. (MRO LAB, Centre for Applied Autonomous Sensor Systems (AASS))ORCID-id: 0000-0003-1827-9698
Örebro universitet, Institutionen för naturvetenskap och teknik. (MRO LAB, Centre for Applied Autonomous Sensor Systems (AASS))ORCID-id: 0000-0002-2953-1564
2022 (engelsk)Inngår i: Journal of Mobile Multimedia, ISSN 1550-4646, E-ISSN 1550-4654, Vol. 18, nr 3, s. 723-742Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Digital plant inventory provides critical growth insights, given the associated data quality is good. Stable & high-quality image acquisition is critical for further examination. In this work, we showcase an affordable, portable, and modular spectral camera prototype, designed with open hardware’s and open-source software’s. The image sensors used were color, and infrared Pi micro-camera. The designed prototype presents the advantage as being low-cost and modular with respect to other general commercial market available spectral devices. The micro-size connected sensors make it a compact instrument that can be used for any general spectral acquisition purposes, along with the provision of custom selection of the bands, making the presented prototype design a Plug-nd-Play (PnP) setup that can be used in different wide application areas. The images acquired from our custom-built prototype were back-tested by performing image analysis and qualitative assessments. The image acquisition software, and processing algorithm has been programmed, which is bundled with our developed system. Further, an end-to-end automation script is integrated for the users to readily leverage the services on-demand. The design files, schematics, and all the related materials of the spectral block design is open-sourced with open-hardware license & is made available at https://github.com/ajayarunachalam/Multi-Spectral-Imaging-RaspberryPi-Design. The automated data acquisition scripts & the spectral image analysis done is made available at https://github.com/ajayarunachalam/SI-RPi.

sted, utgiver, år, opplag, sider
River Publishers , 2022. Vol. 18, nr 3, s. 723-742
Emneord [en]
imaging technology, low-cost, spectral, phenotype, plant science, vision, imaging sensors, agriculture, image analysis
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-97240DOI: 10.13052/jmm1550-4646.18312Scopus ID: 2-s2.0-85125836417OAI: oai:DiVA.org:oru-97240DiVA, id: diva2:1635462
Tilgjengelig fra: 2022-02-07 Laget: 2022-02-07 Sist oppdatert: 2022-04-22bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Arunachalam, AjayAndreasson, Henrik

Søk i DiVA

Av forfatter/redaktør
Arunachalam, AjayAndreasson, Henrik
Av organisasjonen
I samme tidsskrift
Journal of Mobile Multimedia

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 163 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf