Search claims · PlantClaims

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Canopy coverage correction produced a 35.76% decrease in error in the sparse-canopy dataset.

Taxon: rapeseedt0
Outcome: accuracy of LAI inversione0
Direction: positivee0
Value: 35.76%e0
Qualifier: sparse canopy datasete0

Verbatim

e0
“CC had a significantly positive impact on the accuracy of LAI inversion especially in sparse canopy structure with the 22.24% decrease in the entire dataset and 35.76% decrease in the sparse canopy dataset.”
✓ located verbatim in the source · abstract, characters 363–569

t0
“rapeseed”
✓ located verbatim in the source · title, characters 13–21

Title

Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter

Bo Sun; Chufeng Wang; Chenghai Yang; et al. International Journal of Applied Earth Observation and Geoinformation 2021. doi:10.1016/j.jag.2021.102373

Other claims from this paper (5)

Method / resource Canopy coverage correction significantly improved LAI inversion accuracy, with a 22.24% decrease in error for the entire dataset.
Method / resource The empirical statistical model performed better on the 2016 dataset, with NRMSE of 0.131 versus 0.152 for PROSAIL.
Method / resource The empirical statistical model had lower accuracy for 2018, with NRSME of 0.348 versus PROSAIL NRMSE of 0.168.
Method / resource PROSAIL was more robust across 2016 and 2018, with NRMSE values of 0.152 and 0.168.
Method / resource PROSAIL LAI inversion accuracy fell sharply at pixel sizes above 10 cm.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Canopy coverage correction significantly improved LAI inversion accuracy, with a 22.24% decrease in error for the entire dataset.

Taxon: rapeseedt0
Outcome: accuracy of LAI inversione0
Direction: positivee0
Value: 22.24%e0
Qualifier: entire datasete0

Verbatim

e0
“CC had a significantly positive impact on the accuracy of LAI inversion especially in sparse canopy structure with the 22.24% decrease in the entire dataset and 35.76% decrease in the sparse canopy dataset.”
✓ located verbatim in the source · abstract, characters 363–569

t0
“rapeseed”
✓ located verbatim in the source · title, characters 13–21

Title

Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter

Bo Sun; Chufeng Wang; Chenghai Yang; et al. International Journal of Applied Earth Observation and Geoinformation 2021. doi:10.1016/j.jag.2021.102373

Other claims from this paper (5)

Method / resource Canopy coverage correction produced a 35.76% decrease in error in the sparse-canopy dataset.
Method / resource The empirical statistical model performed better on the 2016 dataset, with NRMSE of 0.131 versus 0.152 for PROSAIL.
Method / resource The empirical statistical model had lower accuracy for 2018, with NRSME of 0.348 versus PROSAIL NRMSE of 0.168.
Method / resource PROSAIL was more robust across 2016 and 2018, with NRMSE values of 0.152 and 0.168.
Method / resource PROSAIL LAI inversion accuracy fell sharply at pixel sizes above 10 cm.

Method / resourceobservedoriginal resultnegativesignificant (as stated)measured

Claim · model-written summary

Field and UAV deployments showed a significant 5.1 percentage-point decrease in classification accuracy compared with controlled environments

Taxon: plant speciese0
Outcome: classification accuracye2
Direction: decreasee3
Value: 5.1 percentage-pointe3
Qualifier: p = 0.0163e3
Comparator: controlled environmentse1
Setting: field/UAV deploymentse2

Verbatim

e0
“encompassing 42 plant species and 74 pathogenic agents”
✓ located verbatim in the source · abstract, characters 962–1016

e1
“controlled environments achieved 91.4% ± 6.6% classification accuracy ( n = 48 )”
✓ located verbatim in the source · abstract, characters 1731–1811

e2
“classification accuracy ( n = 48 ) versus 86.3% ± 9.1% for field/UAV deployments ( n = 26 )”
✓ located verbatim in the source · abstract, characters 1777–1868

e3
“representing a significant 5.1 percentage-point performance decrease ( p = 0.0163 )”
✓ located verbatim in the source · abstract, characters 1870–1953

Title

Early detection of plant pathogens in the asymptomatic phase: A scoping review of hyperspectral imaging combined with machine learning

Weiqun Wang; Shirin Ghatrehsamani Smart Agricultural Technology 2026. doi:10.1016/j.atech.2026.102123

Other claims from this paper (11)

Method / resourceobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Pollen concentration decreased significantly in September.

Outcome: pollen concentratione0
Direction: decreasee0
Comparator: Septembere0

Not reportedTaxon

Verbatim

e0
“A significant decrease in pollen concentration in September”
✓ located verbatim in the source · abstract, characters 1103–1162

Title

Does season matter for moss surface sample collection? A case study from Kungur forest-steppe, pre-Urals, Russia

Lyudmila S. Shumilovskikh; Irina F. Abdulmanova; Elena G. Efimik Palynology 2020. doi:10.1080/01916122.2020.1776780

Other claims from this paper (10)

Observation Pollen assemblages reflected dominant Pinus-Betula forest and grassland vegetation.
Observation Pollen assemblages differed between open and forested areas.
Observation Pollen assemblages differed between abandoned fodder and semi-natural hay meadows.
Method / resource Dominant Pinus diploxylon-type, Betula and Poaceae pollen taxa did not differ significantly between seasons.
Method / resource The rarefied number of pollen taxa did not differ significantly between seasons.
Method / resource Artemisia pollen values were significantly higher in September.
Method / resource PCA indicated similar pollen spectra between seasons.
Method / resource The authors concluded collection season does not significantly influence pollen assemblages.
Recommendation Field studies can be carried out during the summer flowering season.
Recommendation The authors recommend bulk moss samples with basal parts and/or litter with surface soils.

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 / resource Different magnifications improved diagnostic agreement and accuracy.
Method / resource Test accuracy on Plantvillage was 99.65 %.
Method / resource Test accuracy on Tomato leaf was 98.96 %.
Method / resource Test accuracy on Appleleaf9 was 98.11 %.
Method / resource XAI visually identified critical leaf areas for disease identification.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Field testing found a significant decrease in bird numbers in targeted areas.

Taxon: riceOryza sativae1
Interactor: birdsAvese0pest
Outcome: number of birds in the targeted arease0
Direction: decreasinge0
Value: significante0

Verbatim

e0
“the result of the prototype field-testing showed a significant effect in decreasing the number of birds in the targeted areas”
✓ located verbatim in the source · abstract, characters 1282–1407

e1
“Filipino rice farmers, resulting in losses in annual harvest yield. Farmers suffer the challenge of crop damage by birds”
✓ located verbatim in the source · abstract, characters 45–165

Title

Bird-Repelling Device for Agricultural Application using Motion Detection

Maribelle Dequilla-Pabiania; Chris Julian C. Alcedo; Henry G. Morales; et al. 2024 16th International Conference on Computer and Automation Engineering (ICCAE) 2024. doi:10.1109/iccae59995.2024.10569619

Other claims from this paper (3)

Method / resource In field testing, the prototype deterred birds at 73% versus 42% for a scarecrow.
Method / resource In controlled testing, the prototype deterred birds at 67% versus 49% for a scarecrow.
Method / resource The controlled environment showed no significant change in bird numbers, attributed to low population.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

False positive detections significantly decreased.

Taxon: CoffeeCoffeat0
Outcome: false positivee0
Direction: decreasee0

Not reportedComparatorValue

Verbatim

e0
“a significant increase in true positive and decrease in false positive detections”
✓ located verbatim in the source · abstract, characters 775–856

t0
“Coffee”
✓ located verbatim in the source · title, characters 60–66

Title

Hybrid Consensus and Recovery Block-Based Detection of Ripe Coffee Cherry Bunches Using RGB-D Sensor

K. Sayyida Beegam; Meetha V. Shenoy; Nitin Chaturvedi IEEE Sensors Journal 2021. doi:10.1109/jsen.2021.3130747

Other claims from this paper (5)

Method / resource True positive detections significantly increased.
Method / resource Accuracy was 93%.
Method / resource Precision was 97%.
Method / resource Recall was 92%.
Method / resource F1 score was 93%.

Method / resourceobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Restricting comparisons within major subclades significantly decreased barcode discrimination.

Taxon: ViburnumViburnume0
Outcome: discriminatory powere0
Direction: decreasee0
Comparator: major Viburnum subcladese0

Verbatim

e0
“When comparisons were progressively restricted to species within major Viburnum subclades, there was a significant decrease in both the discriminatory power and the genetic distances”
✓ located verbatim in the source · abstract, characters 932–1114

Title

Barcoding success as a function of phylogenetic relatedness in Viburnum, a clade of woody angiosperms

Wendy L Clement; Michael J Donoghue BMC Evolutionary Biology 2012. doi:10.1186/1471-2148-12-73

Other claims from this paper (10)

Method / resource rbcL and matK discriminated at most 53% of Viburnum species.
Observation Only 18% of comparisons had genetic distances above 1%.
Observation Restricting comparisons within subclades significantly decreased genetic distance.
Method / resource trnH-psbA showed higher variation and potential discrimination.
Method / resource nrITS showed higher variation and potential discrimination.
Method / resource Discrimination succeeded more often in Japanese species than in Mexico and Central America.
Method / resource Closely related Viburnum species had very low barcode discrimination.
Method / resource Adding trnH-psbA and nrITS increased discrimination rates.
Method / resource The supplementary barcodes were often more effective alone than alongside rbcL and matK.
Recommendation The authors recommend incorporating phylogenetic information when assessing barcode loci.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

The proposed pollen tube segmentation method significantly reduced processing time relative to an earlier method.

Taxon: Pollen Tubet0
Outcome: processing timee0
Direction: decreasee0
Comparator: a previous methode1

Verbatim

e0
“but significant decrease in processing time”
✓ located verbatim in the source · abstract, characters 1324–1367

e1
“comparable accuracy to a previous method”
✓ located verbatim in the source · abstract, characters 1282–1322

t0
“Pollen Tube Growth Videos”
✓ located verbatim in the source · title, characters 16–41

Title

Segmentation of Pollen Tube Growth Videos Using Dynamic Bi-Modal Fusion and Seam Carving

Asongu L. Tambo; Bir Bhanu IEEE Transactions on Image Processing 2016. doi:10.1109/tip.2016.2538468

Other claims from this paper (1)

Method / resource The proposed pollen tube segmentation method had accuracy comparable to an earlier method.

Method / resourceobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Measured moisture content decreased significantly as sample size rose from 1 to 5 g.

Taxon: sunflower seedHelianthus annuust0
Outcome: moisture contente0
Direction: decreasee0
Value: 1 to 5 ge0

Verbatim

e0
“a significant decrease in moisture content with increase in sample size from 1 to 5 g.”
✓ located verbatim in the source · abstract, characters 212–298

t0
“sunflower seed”
✓ located verbatim in the source · title, characters 48–62

Title

Automatic karl fischer titration of moisture in sunflower seed

James A. Robertson; W. R. Windham Journal of the American Oil Chemists Society 1983. doi:10.1007/bf02680353

Other claims from this paper (7)

Method / resource For 5.5–10.5% moisture, 3–4 g samples gave Karl Fischer values closest to the official oven method.
Method / resource Karl Fischer moisture values were not significantly different from air oven values.
Method / resource Karl Fischer moisture values were not significantly different from vacuum oven values.
Method / resource Karl Fischer measurements had mean standard deviation of 0.11% moisture content.
Method / resource Forced draft oven measurements had mean standard deviation of 0.05%.
Method / resource Karl Fischer moisture values were generally slightly lower than air oven values.
Method / resource Grinding sunflower seed with Hyflo Super Cel led to 0.6% moisture loss from a sample containing 8.9% moisture.

“decrease in A”

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