Paper · 2021 · IOP Conference Series Earth and Environmental Science

Quantitative assessment of mosaic disease severity based on digital image processing

A Hasan; Widodo; K H Mutaqin; et al.

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claims
5
verbatim quotes
10
citations
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research areas
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Open access · cc-by

Abstract

Abstract Quantitative assessment of plant diseases can be done relatively quickly and practically, especially when applying digital image processing. This paper discusses digital image potential for assessing mosaic symptoms caused by the Tobacco mosaic virus (TMV). Chili plants ( Capsicum annuum L.) were grown in pots and subjected to two treatments, i.e., non-inoculated (V0) and TMV inoculated (V1). Plant image recording using a Canon 750D camera with a kit lens was done once a week, starting when the mosaic symptoms are first visible, i.e., in the second-week post-inoculation. Recorded images in RAW format were first converted to TIFF, then subjected to further analysis using image processing applications, namely GIMP 2.8 and Fiji-ImageJ. Differences in the RGB profile of leaves given V0 and V1 treatment was observed. Non-inoculated leaves (V0) have a dark green color pattern, while TMV inoculated leaves (V1) tend to have a mixed color pattern of dark green and bright green. In general, this indicates a decrease in chloroplast’s ability to absorb light in diseased leaves, reducing the photosynthesis level. This preliminary experiment shows digital image processing’s potential for estimating the severity of mosaic disease with a high degree of accuracy and precision.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 5

Intervention effectobservedoriginal resultmeasured

Claim · model-written summary

TMV inoculation altered the RGB profile of chili leaves.

Treatment
V1 treatmente0
Outcome
RGB profile of leavese0
Direction
Differencese0
Comparator
V0e0

Not reportedTaxon

Verbatim

e0

“Differences in the RGB profile of leaves given V0 and V1 treatment was observed.”

✓ located verbatim in the source · abstract, characters 752–832 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Non-inoculated leaves had a dark green pattern.

Treatment
Non-inoculatede0
Outcome
dark green color patterne0

Not reportedTaxon

Verbatim

e0

“Non-inoculated leaves (V0) have a dark green color pattern, while TMV inoculated leaves (V1) tend to have a mixed color pattern of dark green and bright green.”

✓ located verbatim in the source · abstract, characters 833–992 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

TMV-inoculated leaves tended to show mixed dark and bright green patterns.

Treatment
TMV inoculatede0
Interactor
TMVTobacco mosaic viruse0pathogen
Outcome
mixed color pattern of dark green and bright greene0

Not reportedTaxon

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Tobacco mosaic virus
Tobacco mosaic virus · InteractorFrank Vincentz · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Non-inoculated leaves (V0) have a dark green color pattern, while TMV inoculated leaves (V1) tend to have a mixed color pattern of dark green and bright green.”

✓ located verbatim in the source · abstract, characters 833–992 · show in text ↑
Mechanismauthor interpretationoriginal resultmeasured

Claim · model-written summary

The authors interpret the diseased leaf colors as reduced light absorption and photosynthesis.

Organ / stage
diseased leavese0
Outcome
photosynthesis levele0
Qualifier
decrease in chloroplast’s ability to absorb lighte0

Not reportedTaxon

Verbatim

e0

“this indicates a decrease in chloroplast’s ability to absorb light in diseased leaves, reducing the photosynthesis level.”

✓ located verbatim in the source · abstract, characters 1005–1126 · show in text ↑
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Digital image processing was judged to estimate mosaic severity with high accuracy and precision.

Outcome
severity of mosaic diseasee0
Value
a high degree of accuracy and precisione0

Verbatim

e0

“This preliminary experiment shows digital image processing’s potential for estimating the severity of mosaic disease with a high degree of accuracy and precision.”

✓ located verbatim in the source · abstract, characters 1127–1289 · show in text ↑