Paper · 1999 · Crop Science

Measuring Wheat Senescence with a Digital Camera

F. J. Adamsen; Paul J. Pinter; Edward M. Barnes; et al.

7
claims
14
verbatim quotes
248
citations
3
research areas
—
Not open access

Abstract

Documenting crop senescence rates is often difficult because of the need for frequent sampling during periods of rapid change and the subjective nature of human visual observations. The purpose of this study was to determine the feasibility of using images produced by a digital camera to measure the senescence rate of wheat and to compare the results with changes in greenness determined by two established methods. Measurements were made as part of an experiment to determine the effects of elevated C0 2 and limited soil nitrogen on spring wheat ( Triticum aestivum L.) at the University of Arizona's Maricopa Agricultural Center, near Phoenix, AZ. “Greenness” measurements were made during senescence of the crop with a color digital camera, a hand‐held radiometer, and a SPAD chlorophyll meter. The green to red (GIR) for each pixel in an image was calculated and the average GIR computed for cropped images from a digital camera representing 1 m 2 for each treatment and sample date. The normalized difference vegetation index (NDVI) was calculated from the red and near‐infrared canopy reflectances measured with a hand held radiometer. A SPAD reading was obtained from randomly selected flag leaves. All three methods of measuring plant greenness showed similar temporal trends. The relationships between GIR with NDVI and SPAD were linear over most of the range of G/R. However, NDVI was more sensitive at low values than G/R. GIR was more sensitive above GIR values of 1.2 than SPAD because the upper limits of SPAD measurements were constrained by the amount of chlorophyll in the leaf, while GIR responded to both chlorophyll concentration in the leaves as well as the number of leaves present. Color digital imaging appears useful for quantifying the senescence of crop canopies. The cost of color digital cameras is expected to decrease and the quality and convenience of use to improve.

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Claims 7

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Digital camera, radiometer and SPAD greenness measures showed similar temporal trends.

Outcome
plant greennesse0
Comparator
All three methodse0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“All three methods of measuring plant greenness showed similar temporal trends”

✓ located verbatim in the source · abstract, characters 1209–1286 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 10–15 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

GIR related linearly to NDVI across most of its range.

Outcome
relationships between GIR with NDVIe0
Qualifier
over most of the range of G/Re0
Comparator
NDVIe0

Not reportedDirection

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The relationships between GIR with NDVI and SPAD were linear over most of the range of G/R”

✓ located verbatim in the source · abstract, characters 1288–1378 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 10–15 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

GIR related linearly to SPAD across most of its range.

Outcome
relationships between GIR with NDVI and SPADe0
Qualifier
over most of the range of G/Re0
Comparator
SPADe0

Not reportedDirection

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“The relationships between GIR with NDVI and SPAD were linear over most of the range of G/R”

✓ located verbatim in the source · abstract, characters 1288–1378 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 10–15 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

NDVI was more sensitive than G/R at low values.

Outcome
more sensitivee0
Direction
more sensitivee0
Qualifier
at low valuese0
Comparator
G/Re0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“NDVI was more sensitive at low values than G/R”

✓ located verbatim in the source · abstract, characters 1389–1435 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 10–15 · show in text ↑
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

GIR was more sensitive than SPAD above GIR 1.2.

Outcome
more sensitivee0
Direction
more sensitivee0
Qualifier
above GIR values of 1.2e0
Comparator
SPADe0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“GIR was more sensitive above GIR values of 1.2 than SPAD”

✓ located verbatim in the source · abstract, characters 1437–1493 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 10–15 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

GIR responded to leaf chlorophyll concentration and leaf number.

Outcome
GIR responded to both chlorophyll concentration in the leaves as well as the number of leaves presente0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“GIR responded to both chlorophyll concentration in the leaves as well as the number of leaves present”

✓ located verbatim in the source · abstract, characters 1605–1706 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 10–15 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Digital color imaging was judged useful for measuring canopy senescence.

Outcome
quantifying the senescence of crop canopiese0

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

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Color digital imaging appears useful for quantifying the senescence of crop canopies”

✓ located verbatim in the source · abstract, characters 1708–1792 · show in text ↑
t0

“Wheat”

✓ located verbatim in the source · title, characters 10–15 · show in text ↑