ArticleApplications in plant sciences2019
Affordable remote monitoring of plant growth in facilities using Raspberry Pi computers.
Article in Applications in plant sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
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Who cites it
9 citing papers in PubMed.
- A low-cost, mobile real-time kinematic geolocation service for engineering and research applications.HardwareX · 2021Article
- Article
- Fly-by-Pi: Open source closed-loop control for geotechnical centrifuge testing applications.HardwareX · 2020Article
- iFO (infrared Fish Observation) - An open source low-cost infrared underwater video system.HardwareX · 2020Article
- Annotation-free learning of plankton for classification and anomaly detection.Scientific reports · 2020Article
- PlasPI marine cameras: Open-source, affordable camera systems for time series marine studies.HardwareX · 2020Article
- Greenotyper: Image-Based Plant Phenotyping Using Distributed Computing and Deep Learning.Frontiers in plant science · 2020Article
- Affordable remote monitoring of plant growth in facilities using Raspberry Pi computers.Applications in plant sciences · 2019Article
- Raspberry Pi-powered temperature monitoring of growth chamber microclimates.Applications in plant sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
premiseEnvironmentally controlled facilities, such as growth chambers, are essential tools for experimental research. Automated, low-cost, remote-monitoring hardware can greatly improve both reproducibility and maintenance. METHODS AND
resultsUsing a Raspberry Pi computer, open-source software, environmental sensors, and a camera, we developed Growth Monitor pi (GMpi), a cost-effective system for monitoring growth chamber conditions. Coupled with our software,
conclusionsGMpi offers access to environmental data logging, improving reproducibility of experiments and reinforcing the stability of controlled environmental facilities. The device is also flexible and scalable, allowing researchers the ability to customize and expand GMpi for their own needs.
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Registered trials
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.