ArticleScientific reports2015
Highly sensitive image-derived indices of water-stressed plants using hyperspectral imaging in SWIR and histogram analysis.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Wavelet-based compression method for scale-preserving in VNIR and SWIR hyperspectral data.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Role of genetic diversity and salicylic acid in drought stress memory of tall fescue.Scientific reports · 2025Article
- A hybrid method for water stress evaluation of rice with the radiative transfer model and multidimensional imaging.Plant phenomics (Washington, D.C.) · 2025Article
- MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture.Frontiers in plant science · 2025Article
- Strong Optical Coupling of Lattice Resonances in a Top-down Fabricated Hybrid Metal-Dielectric Al/Si/Ge Metasurface.Nano letters · 2024Article
- Salt stress memory in tall fescue: Interaction of different stress stages, pollination system and genetic diversity.PloS one · 2024Article
- Review on blueberry drought tolerance from the perspective of cultivar improvement.Frontiers in plant science · 2024Review
- High-throughput phenotyping reveals multiple drought responses of wild and cultivated Phaseolinae beans.Frontiers in plant science · 2024Article
- Monitoring of drought stress and transpiration rate using proximal thermal and hyperspectral imaging in an indoor automated plant phenotyping platform.Plant methods · 2023Article
- Image-Based High-Throughput Phenotyping in Horticultural Crops.Plants (Basel, Switzerland) · 2023Review
- Estimating insect pest density using the physiological index of crop leaf.Frontiers in plant science · 2023Article
- Multiresolution spectrally-encoded terahertz reflection imaging through a highly diffusive cloak.Optics express · 2022Article
- Spectral index selection method for remote moisture sensing under challenging illumination conditions.Scientific reports · 2022Article
- Sensor-based phenotyping of above-ground plant-pathogen interactions.Plant methods · 2022Review
- Morphological and Physiological Traits Associated with Yield under Reduced Irrigation in Chilean Coastal Lowland Quinoa.Plants (Basel, Switzerland) · 2022Article
- Proximal Hyperspectral Imaging Detects Diurnal and Drought-Induced Changes in Maize Physiology.Frontiers in plant science · 2021Article
- A Dual Strategy of Breeding for Drought Tolerance and Introducing Drought-Tolerant, Underutilized Crops into Production Systems to Enhance Their Resilience to Water Deficiency.Plants (Basel, Switzerland) · 2020Review
- Hyperspectral imaging and characterization of allergic contact dermatitis in the short-wave infrared.Journal of biophotonics · 2020Article
- Hyperspectral imaging: a novel approach for plant root phenotyping.Plant methods · 2018Article
- RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols.Journal of visualized experiments : JoVE · 2017Article
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
Abstract
The optical signature of leaves is an important monitoring and predictive parameter for a variety of biotic and abiotic stresses, including drought. Such signatures derived from spectroscopic measurements provide vegetation indices - a quantitative method for assessing plant health. However, the commonly used metrics suffer from low sensitivity. Relatively small changes in water content in moderately stressed plants demand high-contrast imaging to distinguish affected plants. We present a new approach in deriving sensitive indices using hyperspectral imaging in a short-wave infrared range from 800 nm to 1600 nm. Our method, based on high spectral resolution (1.56 nm) instrumentation and image processing algorithms (quantitative histogram analysis), enables us to distinguish a moderate water stress equivalent of 20% relative water content (RWC). The identified image-derived indices 15XX nm/14XX nm (i.e. 1529 nm/1416 nm) were superior to common vegetation indices, such as WBI, MSI, and NDWI, with significantly better sensitivity, enabling early diagnostics of plant health.
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.