Evidence map›Paper›PMID 39979976›Full record

ArticlePlant methods2025

Two-fold red excess (TREx): a simple and novel digital color index that enables non-invasive real-time monitoring of green-leaved as well as anthocyanin-rich crops.

Avinash Agarwal, Filipe de Jesus Colwell, Viviana Andrea Correa Galvis, Tom R Hill, Neil Boonham, Ankush Prashar

Erratum issuedAbstract read
In one paragraph

Article in Plant methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Digitally Quantifying Growth and Verdancy ofPlants (Basel, Switzerland) · 2025
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Avinash AgarwalSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK. avinash.agarwal.1612@gmail.com.ORCID http://orcid.org/0000-0002-9855-0144
Filipe de Jesus ColwellSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK.
Viviana Andrea Correa GalvisCrop Science R&D Division, Infarm - Indoor Urban Farming B.V, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8092-9148
Tom R HillHuman Nutrition and Exercise Research Centre, Population Health Science Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0003-3751-4534
Neil BoonhamSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-8886-5708
Ankush PrasharSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, UK. ankush.prashar@newcastle.ac.uk.ORCID http://orcid.org/0000-0001-6977-4774

Funding

Innovate UK TS/V002880/1
6 · The paper itself

Abstract

backgroundDigital color indices provide a reliable means for assessing plant status by enabling real-time estimation of chlorophyll (Chl) content, and are thus adopted widely for crop monitoring. However, as all prevalent leaf color indices used for this purpose have been developed using green-leaved plants, they do not perform reliably for anthocyanin (Anth)-rich red-leaved varieties. Hence, the present study investigates digital color indices for six types of leafy vegetables with different levels of Anth to identify congruent trends that could be implemented universally for non-invasive crop monitoring irrespective of species and leaf Anth content. For this, datasets from three digital color spaces, viz., RGB (Red, Green, Blue), HSV (Hue, Saturation, Value), and L*a*b* (Lightness, Redness-greenness, Yellowness-blueness), as well as various derived plant color indices were compared with Anth/Chl ratio and SPAD Chl meter readings of n = 320 leaf samples.

resultsLogarithmic decline of G/R, G-minus-R, and Augmented Green-Red Index (AGRI) with increasing Anth/Chl ratio (R

conclusionThe present study provides the first in-depth assessment of variations in RGB-based digital color indices due to high leaf Anth contents, and uses the data for Anth-rich as well as green-leaved crops belonging to different species to formulate a universal digital color index TREx that can be used as a reliable alternative to handheld Chl meters for rapid high-throughput monitoring of green-leaved as well as red-leaved crops.

Indexed as

AnthocyaninChlorophyllCrop monitoringImage analysisRGBVegetation indices

Identifiers

PMID39979976
PMCPMC11843946

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.