2019
DOI: 10.1016/j.ecoinf.2019.101016
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Using Raspberry Pi microcomputers to remotely monitor birds and collect environmental data

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Cited by 14 publications
(21 citation statements)
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“…Furthermore, its remote monitoring capabilities can help reduce potential experimental errors, mitigate human observer biases and minimise disturbances that could otherwise lead to changes in local environmental conditions or a (stress) response in experimental animals (e.g. Gurdita et al., 2016; Lendvai et al., 2015; McBride & Courter, 2019; Singh et al., 2019). The large number of interfaces and broad connectivity of the Raspberry Pi enable the development of solutions that provide a highly affordable alternative to expensive research equipment that many researchers do not have the budget for (Dolgin, 2018), such as operant conditioning devices, plant phenotyping systems and confocal microscopes (Maia Chagas et al., 2017; Stanton et al., 2020; Tausen et al., 2020).…”
Section: Why Use the Raspberry Pi?mentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, its remote monitoring capabilities can help reduce potential experimental errors, mitigate human observer biases and minimise disturbances that could otherwise lead to changes in local environmental conditions or a (stress) response in experimental animals (e.g. Gurdita et al., 2016; Lendvai et al., 2015; McBride & Courter, 2019; Singh et al., 2019). The large number of interfaces and broad connectivity of the Raspberry Pi enable the development of solutions that provide a highly affordable alternative to expensive research equipment that many researchers do not have the budget for (Dolgin, 2018), such as operant conditioning devices, plant phenotyping systems and confocal microscopes (Maia Chagas et al., 2017; Stanton et al., 2020; Tausen et al., 2020).…”
Section: Why Use the Raspberry Pi?mentioning
confidence: 99%
“…(2018) developed a special plant growth cabinet (Growcab) that uses the Raspberry Pi to help control light quality, intensity and photoperiod to optimise speed breeding parameters. McBride and Courter (2019) and Philson et al. (2018) automatically acquired temperature, wind speed and humidity of the micro‐climates around birdfeeders in the field, and, using a manual sensor connected to a Raspberry Pi, Bardunias et al.…”
Section: Overview Of Applications Across the Biological Domainmentioning
confidence: 99%
“…Agricultural, forest and ecological scientists have also been active in this emerging field and at the forefront of developing new measurement and monitoring technologies. For example, Raspberry Pi based systems have been developed for cost-effective remote monitoring of plant growth chambers Accepted Article (Grindstaff et al, 2019), automatic weed detection (Rajaa Vikhram et al, 2018) and to record observational and environmental data at avian feeding stations (McBride and Courter, 2019). To the best of our knowledge only one previous study has demonstrated the potential of a Raspberry Pi for hemispherical canopy images in forests (Kirby et al, 2018).…”
Section: Accepted Articlementioning
confidence: 99%
“…These technologies have allowed greater scope for the development of purposebuilt cameras and for addressing specific research questions (Allan et al, 2018;Greenville & Emery, 2016;Johnston & Cox, 2017;Jolles, 2021). The increasing popularity of these bespoke units is not only driven by their comparative flexibility in programmable settings, but also by the reduced costs and by the cameras being combined with other sensors, for example, temperature loggers (McBride & Courter, 2019). Do-it-yourself, self-assembly cameras can be produced more cheaply than commercially available models; for example, Cox et al (2012) calculated that their bespoke system ("System One") costs ~33% less than a comparable prebuilt unit.…”
Section: Introductionmentioning
confidence: 99%