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Taxon: plant ✕

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 / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

All four models had a slight accuracy decrease on workstations and mobile devices.

Taxon
Plantt0
Outcome
accuracye1
Direction
decreasee0
Comparator
workstation and mobile devicese0

Verbatim

e0

“the four models have a slight accuracy decrease on both workstation and mobile devices”

✓ located verbatim in the source · abstract, characters 765–851
e1

“Mason model has a highest accuracy of 90.54%”

✓ located verbatim in the source · abstract, characters 567–611
t0

“Plant Diseases”

✓ located verbatim in the source · title, characters 40–54

Title

Evaluation of CNN Models in Identifying Plant Diseases on a Mobile Device

Teddy Aristan; Gede Putra Kusuma Revue d intelligence artificielle 2023. doi:10.18280/ria.370221

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

Claim · model-written summary

A mechanics equation describes plant deflection and a dimensionless parameter represents its reduction by turgor.

Taxon
plante0
Outcome
decrease in deflectione0
Direction
decreasee0

Not reportedComparatorValue

Verbatim

e0

“We derived an equation describing the plant's consequent deflection, introducing a dimensionless parameter to express the decrease in deflection associated with the action of turgor pressure”

✓ located verbatim in the source · abstract, characters 660–850

Title

Rigidity control mechanism by turgor pressure in plants

Tohya Kanahama; Satoru Tsugawa; Motohiro Sato Scientific Reports 2023. doi:10.1038/s41598-023-29294-5

Other claims from this paper (1)
Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Processing time decreased significantly.

Taxon
plantt0
Outcome
processing timee0
Direction
decreasee0

Not reportedComparatorValue

Verbatim

e0

“significant decrease in processing time”

✓ located verbatim in the source · abstract, characters 1110–1149
t0

“plant leaf diseases”

✓ located verbatim in the source · title, characters 84–103

Title

Development of a cutting-edge ensemble pipeline for rapid and accurate diagnosis of plant leaf diseases

S.M. Nuruzzaman Nobel; Maharin Afroj; Md Mohsin Kabir; et al. Artificial Intelligence in Agriculture 2024. doi:10.1016/j.aiia.2024.10.005

Other claims from this paper (5)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

The six attention modules performed suboptimally and decreased model accuracy.

Taxon
Plantt0
Outcome
model accuracye0
Direction
decreasee0

Not reportedComparatorValue

Verbatim

e0

“The performance of the six attention modules is suboptimal, and their insertion leads to a decrease in model accuracy”

✓ located verbatim in the source · abstract, characters 1319–1436
t0

“Invasive Plant”

✓ located verbatim in the source · title, characters 37–51

Title

IPMCNet: A Lightweight Algorithm for Invasive Plant Multiclassification

Ying Chen; Xi Qiao; Feng Qin; et al. Agronomy 2024. doi:10.3390/agronomy14020333

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

Claim · model-written summary

Power for plant lighting decreased by more than 65%.

Taxon
plante0
Outcome
power for plant lightinge0
Direction
decreasee0
Value
65%e0

Not reportedComparator

Verbatim

e0

“more than a 65% decrease in power for plant lighting”

✓ located verbatim in the source · abstract, characters 1380–1432

Title

The Controlled Ecological Life Support System Antarctic Analog Project: Prototype Crop Production and Water Treatment System Performance

David L. Bubenheim; Michael T. Flynn; Maynard E. Bates; et al. NASA Technical Reports Server (NASA) 1997

Other claims from this paper (2)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

RAGA decreased gaps in plant genome assemblies.

Taxon
plante1
Outcome
gapse1
Direction
decreasee1

Not reportedComparator

Verbatim

e1

“The performance of RAGA across various plant genomes demonstrated its ability to reduce the number of contigs, decrease gaps, and correct genome assembly errors”

✓ located verbatim in the source · abstract, characters 689–849

Title

RAGA: a reference-assisted genome assembly tool for efficient population-scale assembly

Ru-Peng Zhao; Yu-Hong Luo; Wen-Zhao Xie; et al. Horticulture Research 2025. doi:10.1093/hr/uhaf207

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

Claim · model-written summary

Model optimization substantially decreased computational load.

Taxon
Plantt0
Outcome
computational loade0
Direction
decreasee0
Comparator
quantization, knowledge distillation and model pruninge0

Verbatim

e0

“the model is optimized via quantization, knowledge distillation and model pruning, with a substantial decrease in its computational load”

✓ located verbatim in the source · abstract, characters 1297–1433
t0

“Plant Disease”

✓ located verbatim in the source · title, characters 49–62
t1

“Plant Disease”

✓ located verbatim in the source · title, characters 49–62

Title

Multimodal Deep Learning Framework for Proactive Plant Disease Diagnosis

Purshottam J. Assudani; V. Rama Krishna Metallurgical and Materials Engineering 2025. doi:10.63278/1419

Other claims from this paper (5)
Method / resourceobservedoriginal resultbasis n/a

Claim · model-written summary

A new formulation combines constant-temperature nocturnal respiratory decline with temperature sensitivity.

Taxon
plante0
Outcome
model and understand nocturnal plant respiratione0
Comparator
temperature sensitivitye0

Verbatim

e0

“A new universal formulation is developed to model and understand nocturnal plant respiration, combining the nocturnal decrease in the rate of plant respiration at constant temperature with the decrease in plant respiration according to the temperature sensitivity.”

✓ located verbatim in the source · abstract, characters 553–817

Title

Nocturnal plant respiration is under strong non-temperature control

Dan Bruhn; Freya Newman; Mathilda Hancock; et al. Nature Communications 2022. doi:10.1038/s41467-022-33370-1

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

Claim · model-written summary

Leaf extracts stored at room temperature on FTA paper retained DNA amplification success for more than a month.

Taxon
Plantt0
Treatment
stored at room temperature on FTA papere0
Outcome
DNA amplification success ratee0
Direction
without a decreasee0
Value
more than a monthe0

Verbatim

e0

“extracts of leaf samples could be collected and stored at room temperature on FTA paper without a decrease in the DNA amplification success rate for more than a month.”

✓ located verbatim in the source · abstract, characters 537–704
t0

“Plant Genes”

✓ located verbatim in the source · title, characters 13–24

Title

Detection of Plant Genes Using a Rapid, Nonorganic DNA Purification Method

J.-J. Lin; R. Fleming; J. Kuo; et al. BioTechniques 2000. doi:10.2144/00282pf01

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

Claim · model-written summary

AttCM-Alex retained 0.93 accuracy at 30% decreased brightness.

Taxon
Plantt0
Outcome
accuracye0
Value
0.93e0
Qualifier
30% decrease in brightnesse0

Verbatim

e0

“The model achieved a peak detection accuracy of 0.97 with a 30% increase in image brightness and maintained an accuracy of 0.93 even with a 30% decrease in brightness, highlighting its robustness and reliability.”

✓ located verbatim in the source · abstract, characters 1342–1554
t0

“Plant diseases pose a significant threat”

✓ located verbatim in the source · abstract, characters 0–40

Title

AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming

Zhuo Zeng; Tariq Mahmood; Yu Wang; et al. Scientific Reports 2025. doi:10.1038/s41598-025-10537-6

Other claims from this paper (2)

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