ArticleSensors (Basel, Switzerland)2020
SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- An Optical Reporting Patch for Spatiotemporal Measurements of Water Activity in Complex Environments.Analytical chemistry · 2026Article
- Root system architecture and drought adaptation: emerging tools and genetic insights.Frontiers in plant science · 2026Review
- Repeatable Imaging of Soil Processes Through a Stabilized Port: Examples of (i) Soil Contaminants and (ii) Plant Root Growth.Sensors (Basel, Switzerland) · 2025Article
- Assembly and application of a low-cost high-resolution imaging device for hyphae in soil.PloS one · 2025Article
- Advancing hyperspectral imaging techniques for root systems: a new pipeline for macro- and microscale image acquisition and classification.Plant methods · 2024Article
- From phenotyping to genetic mapping: identifying water-stress adaptations in legume root traits.BMC plant biology · 2024Review
- Non-destructive real-time monitoring of underground root development with distributed fiber optic sensing.Plant methods · 2024Article
- Semantic segmentation of plant roots from RGB (mini-) rhizotron images-generalisation potential and false positives of established methods and advanced deep-learning models.Plant methods · 2023Article
- Pea Breeding for Resistance to Rhizospheric Pathogens.Plants (Basel, Switzerland) · 2022Review
- Recent trends in root phenomics of plant systems with available methods- discrepancies and consonances.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Review
- Installation and imaging of thousands of minirhizotrons to phenotype root systems of field-grown plants.Plant methods · 2022Article
- CMOS Image Sensors in Surveillance System Applications.Sensors (Basel, Switzerland) · 2021Review
- The Invisible Frontline: High-Tech Root Imaging for Crop Stress Adaptation.Physiologia plantarumReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation of a minirhizotron needs to be low cost, automated, and customizable to be effective and widely adopted. We present a newly designed root imaging system called SoilCam that addresses the above mentioned limitations. The imaging system is multi-modal, i.e., it supports both conventional white-light and multispectral imaging, with fully automated operations for long-term in-situ monitoring using wireless control and access. The system is capable of taking 360° images covering the entire area surrounding the tube. The image sensor can be customized depending on the spectral imaging requirements. The maximum achievable image quality of the system is 8 MP (Mega Pixel)/picture, which is equivalent to a 2500 DPI (dots per inch) image resolution. The length of time in the field can be extended with a rechargeable battery and solar panel connectivity. Offline image-processing software, with several image enhancement algorithms to eliminate motion blur and geometric distortion and to reconstruct the 360° panoramic view, is also presented. The system is tested in the field by imaging canola roots to show the performance advantages over commercial systems.
Indexed as
Identifiers
What OpenQuestion holds
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.