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Taxon: corn ✕

Taxon groups are the verbatim names found in the abstracts (case-insensitive), not normalised: maize, corn and Zea mays are separate groups here. The Organism view merges them through NCBI Taxonomy.

Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Feature importance suggests one camera may suffice without a significant accuracy decrease.

Outcome
accuracye0
Direction
without significant decreasee0
Comparator
one camerae0

Verbatim

e0

“Feature weight importance suggests that one camera may be sufficient for prediction without significant decrease in accuracy”

✓ located verbatim in the source · abstract, characters 991–1115
t0

“Corn Ear Height Prediction”

✓ located verbatim in the source · title, characters 10–36

Title

Automated Corn Ear Height Prediction Using Video-Based Deep Learning

Johnson Wong; Hao Sha; Mohammad Al Hasan; et al. 2020 IEEE International Conference on Big Data (Big Data) 2020. doi:10.1109/bigdata50022.2020.9378115

Other claims from this paper (3)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Increasing replications from five to six gave only a small decrease in L.S.D.

Outcome
L.S.D.e0
Direction
decreasee0
Value
5 to 6e0

Verbatim

e0

“There was only a small decrease in L.S.D. by increasing the replications from 5 to 6.”

✓ located verbatim in the source · abstract, characters 391–476
t0

“Hybrid Corn”

✓ located verbatim in the source · title, characters 26–37

Title

Field Plot Technique With Hybrid Corn Under Alabama Conditions1

A. A. Fleming; T. Hayden Rogers; T. A. Bancroft Agronomy Journal 1957. doi:10.2134/agronj1957.00021962004900010001x

Other claims from this paper (4)
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

The SDI models indicated a linear decline in relative yield with increasing wetness.

Outcome
relative yielde0
Direction
linear decreasee0
Comparator
increasing wetness (SDI values)e0

Verbatim

e0

“The SDI models indicated a linear decrease in the relative yield with increasing wetness (SDI values)”

✓ located verbatim in the source · abstract, characters 823–924
t0

“CORN”

✓ located verbatim in the source · title, characters 0–4

Title

CORN GROWTH AS AFFECTED BY EXCESS SOIL WATER

S. Mukhtar; J. L. Baker; R. S. Kanwar Transactions of the ASAE 1990. doi:10.13031/2013.31348

Other claims from this paper (9)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

DRIS indicated declining corn nutritional status.

Outcome
nutritional statuse0
Direction
decreasee0
Comparator
DRIS approache0

Verbatim

e0

“DRIS approach also reflected a decrease in the nutritional status of the crop”

✓ located verbatim in the source · abstract, characters 863–940
t0

“Corn”

✓ located verbatim in the source · abstract, characters 0–4

Title

Lowering the Fertilisation Rate for Corn Monocropping: Nutritional Parameters

José M Murillo; Félix Moreno; Francisco Cabrera; et al. Journal of the Science of Food and Agriculture 1997. doi:10.1002/(sici)1097-0010(199703)73:3<383::aid-jsfa741>3.3.co;2-d

Other claims from this paper (7)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Narrower calibration range decreased SEP for PLS models of SAC.

Outcome
SEP valuese0
Value
decreasee0

Verbatim

t0

“Corn”

✓ located verbatim in the source · title, characters 75–79
e0

“except for PLS models for SAC in which a decrease in SEP values was observed”

✓ located verbatim in the source · abstract, characters 1547–1623

Title

Prediction of Starch Amylose Content Versus Total Grain Amylose Content in Corn by Near‐Infrared Transmittance Spectroscopy

M. R. Campbell; S. R. Mannis; H. A. Port; et al. Cereal Chemistry 1999. doi:10.1094/cchem.1999.76.4.552

Other claims from this paper (8)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

DRIS analysis also indicated declining nutritional status.

Outcome
nutritional status of the crope0
Direction
decreasee0

Not reportedComparator

Verbatim

e0

“DRIS approach also reflected a decrease in the nutritional status of the crop”

✓ located verbatim in the source · abstract, characters 863–940
e1

“Corn (Zea mays cv Prisma) was cropped consecutively for 5 years”

✓ located verbatim in the source · abstract, characters 0–63

Title

Lowering the Fertilisation Rate for Corn Monocropping: Nutritional Parameters

José M Murillo; Félix Moreno; Francisco Cabrera; et al. Journal of the Science of Food and Agriculture 1997. doi:10.1002/(sici)1097-0010(199703)73:3<383::aid-jsfa741>3.0.co;2-m

Other claims from this paper (7)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Corn and weed classification results decreased slightly under the proposed method.

Outcome
corn and weed classification resultse3
Direction
decreasee3
Value
slighte3
Qualifier
not as significant as the resulting processing speede4

Verbatim

e0

“Corn and weed classification using video data is required to run in real-time.”

✓ located verbatim in the source · abstract, characters 0–78
e3

“The corn and weed classification results experienced a slight decrease”

✓ located verbatim in the source · abstract, characters 999–1069
e4

“This decrease in classification results is not as significant as the resulting processing speed”

✓ located verbatim in the source · abstract, characters 1071–1166

Title

Real-time early corn and weed classification using hybrid visual features based on parallel processing and tracking

Faisal Dharma Adhinata; Wahyono; Raden Sumiharto Smart Agricultural Technology 2025. doi:10.1016/j.atech.2025.101269

Other claims from this paper (1)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

Transect sampling accuracy was less than 1% below systematic sampling.

Outcome
accuracye0
Direction
decreasee0
Value
<1%e0
Comparator
systematic samplinge0

Verbatim

e0

“This error rate represented a decrease in accuracy of <1% compared with systematic sampling.”

✓ located verbatim in the source · abstract, characters 1057–1149
t0

“Transect Sampling to Enhance Efficiency of Corn Rootworm (Coleoptera: Chrysomelidae) Monitoring in Corn”

✓ located verbatim in the source · title, characters 0–103

Title

Transect Sampling to Enhance Efficiency of Corn Rootworm (Coleoptera: Chrysomelidae) Monitoring in Corn

John E. Losey; Leslie L. Allee; Vladimir Zbarsky; et al. Journal of Economic Entomology 2003. doi:10.1603/0022-0493-96.5.1420

Other claims from this paper (6)
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Transect sampling decreased accuracy by less than 1% compared with systematic sampling.

Outcome
accuracye2
Direction
decreasee2
Value
<1%e2
Comparator
systematic samplinge2

Verbatim

e0

“Crop monitoring for adult corn rootworms, Diabrotica virgifera virgifera LeConte and Diabrotica barberi Smith and Lawrence, remains the best means to assess fields at risk from this pest if replanted to corn, Zea mays (L.)”

✓ located verbatim in the source · abstract, characters 0–222
e2

“This error rate represented a decrease in accuracy of <1% compared with systematic sampling”

✓ located verbatim in the source · abstract, characters 1057–1148

Title

Transect Sampling to Enhance Efficiency of Corn Rootworm (Coleoptera: Chrysomelidae) Monitoring in Corn

John E. Losey; Leslie L. Allee; Vladimir Zbarsky; et al. Journal of Economic Entomology 2003. doi:10.1093/jee/96.5.1420

Other claims from this paper (6)
Method / resourceobservedoriginal resultno effectprojected

Claim · model-written summary

EPIC projected no change in corn yield under the fine scale scenario.

Direction
no changee0
Comparator
fine scale scenarioe0

Not reportedOutcomeValue

Verbatim

e0

“EPIC simulated a decrease for the coarse scenario but no change for the fine scale scenario”

✓ located verbatim in the source · abstract, characters 568–659
t0

“for wheat and corn”

✓ located verbatim in the source · abstract, characters 61–79

Title

Comparative responses of EPIC and CERES crop models to high and low spatial resolution climate change scenarios

L. O. Mearns; T. Mavromatis; E. Tsvetsinskaya; et al. Journal of Geophysical Research Atmospheres 1999. doi:10.1029/1998jd200061

Other claims from this paper (5)

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