2021
DOI: 10.1111/2041-210x.13610
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A Raspberry Pi‐based camera system and image processing procedure for low cost and long‐term monitoring of forest canopy dynamics

Abstract: Methods in Ecology and EvolutionThis article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Cited by 16 publications
(7 citation statements)
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“…Finally, this study additionally highlights the potential of low-cost video cameras, built with off-the-shelf components, as a powerful monitoring tool (Droissart et al, 2021;Klemens et al, 2021;Wilkinson et al, 2021), particularly in conservation projects with limited budget. The self-built, Raspberry Pi-based infrared cameras used in this study can be adapted to a wide range of contexts with minimal technical and programming skills.…”
Section: Discussionmentioning
confidence: 80%
“…Finally, this study additionally highlights the potential of low-cost video cameras, built with off-the-shelf components, as a powerful monitoring tool (Droissart et al, 2021;Klemens et al, 2021;Wilkinson et al, 2021), particularly in conservation projects with limited budget. The self-built, Raspberry Pi-based infrared cameras used in this study can be adapted to a wide range of contexts with minimal technical and programming skills.…”
Section: Discussionmentioning
confidence: 80%
“…More powerful camera monitoring systems capable of higher quality images could also be used (e.g., Kromer et al, 2019;Brezzi et al, 2020;Giacomini et al, 2020;Blanch et al, 2023). However, the acquisition costs, complexity of installation and maintenance are significantly higher, making the instruments less suitable for long-term unattended measurements (Wilkinson et al, 2021). In addition, our system has been built using universal components, all of which are commercially available (no in-house printed circuit boards have been used), which facilitates system expansion and acts as a proof of concept.…”
Section: Overall Approachmentioning
confidence: 99%
“…Images captured by Raspberry Pi Cameras are primarily utilized for 2D monitoring nowadays (Wilkinson et al, 2021), but they can also be used for advanced 3D monitoring through the application of Structure-From-Motion with Multi-View Stereo (SfM-MVS) photogrammetry techniques. The application of 3D monitoring has been recently applied across different environmental contexts, further emphasizing its potential as a cost-effective and versatile solution.…”
Section: Introductionmentioning
confidence: 99%
“…At the ecosystem-scale, solar-powered Raspberry Pis, cameras, and microphones have enabled the fully autonomous acoustic and visual monitoring of ecosystems with remote data transmission for <$320 USD ( Sethi et al 2018 ), and the long-term visual, high-frequency monitoring of forest canopy cover ( Wilkinson et al 2021 ). Experimental biologists tested the impact of light spectral quality and intensity on plant host–parasite interaction using an Arduino-controlled LED array ( Johnson et al 2016 ) (Arduino, Somerville, MA, SUS), and soil ecologists developed a “smart electronics nose” to monitor soil organic richness using Arduino-read gas sensors and IoT ZigBee boards to stream data from the field to the lab ( Dorji et al 2017 ).…”
Section: Application Potential For Open Electronicsmentioning
confidence: 99%