ArticleJournal of visualized experiments : JoVE2017
RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols.
Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Improved U-Shaped Convolutional Neural Network with Convolutional Block Attention Module and Feature Fusion for Automated Segmentation of Fine Roots in Field Rhizotron Imagery.Sensors (Basel, Switzerland) · 2025Article
- Developing a New Method of Transformation for Obtaining XYZ Color Values from RGB Images for Agricultural Applications.Sensors (Basel, Switzerland) · 2024Article
- High frequency root dynamics: sampling and interpretation using replicated robotic minirhizotrons.Journal of experimental botany · 2023Article
- A bench-top Dark-Root device built with LEGOFrontiers in plant science · 2023Article
- Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives.Plant communications · 2022Review
- Integrated omics approaches for flax improvement under abiotic and biotic stress: Current status and future prospects.Frontiers in plant science · 2022Review
- A method for obtaining field wheat freezing injury phenotype based on RGB camera and software control.Plant methods · 2021Article
- Applications of Multi-Omics Technologies for Crop Improvement.Frontiers in plant science · 2021Review
- Deep soil exploration vs. topsoil exploitation: distinctive rooting strategies between wheat landraces and wild relatives.Plant and soil · 2021Article
- Climatic changes and potatoes: How can we cope with the abiotic stresses?Breeding science · 2019Review
- Characterization of Cover Crop Rooting Types from Integration of Rhizobox Imaging and Root Atlas Information.Plants (Basel, Switzerland) · 2019Article
- Functional-structural root-system model validation using a soil MRI experiment.Journal of experimental botany · 2019Article
- An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients.Journal of visualized experiments : JoVE · 2018Article
- Raspberry Pi-powered imaging for plant phenotyping.Applications in plant sciences · 2018Article
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
Better understanding of plant root dynamics is essential to improve resource use efficiency of agricultural systems and increase the resistance of crop cultivars against environmental stresses. An experimental protocol is presented for RGB and hyperspectral imaging of root systems. The approach uses rhizoboxes where plants grow in natural soil over a longer time to observe fully developed root systems. Experimental settings are exemplified for assessing rhizobox plants under water stress and studying the role of roots. An RGB imaging setup is described for cheap and quick quantification of root development over time. Hyperspectral imaging improves root segmentation from the soil background compared to RGB color based thresholding. The particular strength of hyperspectral imaging is the acquisition of chemometric information on the root-soil system for functional understanding. This is demonstrated with high resolution water content mapping. Spectral imaging however is more complex in image acquisition, processing and analysis compared to the RGB approach. A combination of both methods can optimize a comprehensive assessment of the root system. Application examples integrating root and aboveground traits are given for the context of plant phenotyping and plant physiological research. Further improvement of root imaging can be obtained by optimizing RGB image quality with better illumination using different light sources and by extension of image analysis methods to infer on root zone properties from spectral data.
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.