Search claims · PlantClaims

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

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“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

Image processing reduced processing time and significantly improved crop identification.

Taxon: RiceOryza sativat0
Outcome: time of action and enhanced the crop identificatione0
Direction: condensede0

Not reportedComparatorValue

Verbatim

e0
“The performance of image processing condensed the time of action and enhanced the crop identification significantly”
✓ located verbatim in the source · abstract, characters 1238–1353

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“Rice Granules”
✓ located verbatim in the source · title, characters 12–25

Title

Analysis of Rice Granules using Image Processing and Neural Network Pattern Recognition Tool

Abirami. S; Neelamegam. P; Kala. H. International Journal of Computer Applications 2014. doi:10.5120/16806-6530

Other claims from this paper (1)

Method / resource Digital imaging extracted rice granule features without contact.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Automatic ripening significantly reduced ripening time and saved post-processing time.

Taxon: fruitt0
Outcome: ripening time and saves a lot of post‐processing timee0
Direction: reducese0
Value: a lot of post‐processing timee0

Verbatim

e0
“The whole ripening process runs automatically, which significantly reduces the ripening time and saves a lot of post‐processing time.”
✓ located verbatim in the source · abstract, characters 1874–2007

t0
“post‐ripening fruit”
✓ located verbatim in the source · title, characters 58–77

Title

Consumer‐oriented intelligent ripening control system for post‐ripening fruit

Yuliang Li; Wentao Huang; Hanyu Li; et al. Journal of Food Process Engineering 2023. doi:10.1111/jfpe.14442

Other claims from this paper (5)

Method / resource The RSSA‐PID model had high smoothness, fast response and high stability for ethylene and temperature control.
Method / resource RSSA‐PID had better dynamic performance and stability than traditional PID.
Method / resource The system achieved intelligent ripening, precise control and low power consumption in post-ripening fruits.
Method / resource Temperature and ethylene concentration variation was at most 0.5%.
Method / resource Humidity, oxygen and carbon dioxide were maintained within reasonable thresholds.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Lower resolution reduced processing time and storage space.

Outcome: processing time and storage spacee0
Direction: reducinge0

Not reportedTaxonValue

Verbatim

e0
“significantly reducing processing time and storage space.”
✓ located verbatim in the source · abstract, characters 1994–2051

Title

RGB image-based method for phenotyping rust disease progress in pea leaves using R

Salvador Osuna-Caballero; Tiago Olivoto; Manuel A. Jiménez-Vaquero; et al. Plant Methods 2023. doi:10.1186/s13007-023-01069-z

Other claims from this paper (8)

Method / resource A method automatically estimates pustule and leaf area parameters.
Method / resource The method reconstructs leaf time series and disease progression parameters.
Observation Disease response varied significantly among pea genotypes using visual and image analysis.
Method / resource NGRDI analyzed 600 leaflets at 60% resolution in 62 seconds.
Method / resource Image and visual pustule counts had concordance above 0.98.
Method / resource Lower image resolution slightly reduced accuracy, without significant differences for most progression measures.
Method / resource NGRDI was optimal at all time points with high accuracy and little accumulated error.
Method / resource The method was more accurate than other image approaches and comparable to visual methods.

Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Processing time significantly affected early flowering of tobacco.

Taxon: tobaccoNicotiana tabacume0
Treatment: different processing timee0
Outcome: early floweringe0

Not reportedComparatorDirection

Verbatim

e0
“the effects of different processing time on early flowering of tobacco were significant”
✓ located verbatim in the source · abstract, characters 354–441

Title

Effects of Temperature-light Factor on Budding Time and Hormones of Tobacco in Seedling Period

Qingming Zhou Hunan Agricultural Sciences 2010

Other claims from this paper (4)

Intervention effect Low temperature significantly affected tobacco budding time.
Intervention effect Low temperature significantly affected tobacco gibberellin content.
Intervention effect The combined temperature and light effect was greater.
Association Short day length was identified as a factor affecting early tobacco flowering.

Intervention effectobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Mechanical dewinging significantly reduced the processing time of four dipterocarp species.

Taxon: dipterocarpt0
Treatment: Mechanical dewinginge1
Outcome: processing timee1
Direction: reducede1

Not reportedComparator

Verbatim

t0
“Dewinging dipterocarp seeds”
✓ located verbatim in the source · title, characters 0–27

e1
“Mechanical dewinging of four dipterocarp species significantly reduced the processing time without affecting seed viability”
✓ located verbatim in the source · abstract, characters 864–987

Title

Dewinging dipterocarp seeds.

M. Marzalina; W. A. Wan Tarmeze; Harry Staines JOURNAL OF TROPICAL FOREST SCIENCE 2004

Other claims from this paper (5)

Intervention effect Mechanical dewinging did not affect seed viability.
Association Dewinging took longer for seeds with greater wing length.
Association Dewinging took longer for seeds with smaller wing waist.
Association Dewinging took longer for heavier seeds.
Method / resource The best-fit model for the duration of dewinging has an intercept of 0.65548.

Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Microwave processing time significantly influenced chlorophyll content.

Taxon: Momordica Charantia L.t0
Treatment: microwave processing timee0
Outcome: chlorophylle0

Not reportedDirection

Verbatim

e0
“microwave power and microwave processing time had tremely significant influences on chlorophyll”
✓ located verbatim in the source · abstract, characters 233–328

t0
“Momordica Charantia L.”
✓ located verbatim in the source · title, characters 42–64

Title

Influences of microwave on chlorophyll in Momordica Charantia L.

Jianxiong Li Food Science and Technology International 2008

Other claims from this paper (10)

Association Microwave power significantly influenced chlorophyll content.
Association Section thickness had no significant influence on chlorophyll.
Association Sample load had no significant influence on chlorophyll.
Observation Factor influence ranked power, time, thickness and load from greatest to least.
Association Microwave power interacted with processing time.
Association Processing time interacted with sample load.
Association No obvious interaction was reported between power and section thickness.
Association No obvious interaction was reported between power and sample load.
Association No obvious interaction was reported between time and thickness.
Association No obvious interaction was reported between thickness and load.

Intervention effectobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Processing time significantly affected PPO inactivation.

Taxon: AppleMalus domesticat0
Treatment: processing timee0
Outcome: inactivation of PPOe0

Not reportedComparatorDirection

Verbatim

e0
“The inactivation of PPO could be significantly affected by the ultrasound of power,processing temperature,and processing time.”
✓ located verbatim in the source · abstract, characters 493–619

t0
“Fresh-cut Apple”
✓ located verbatim in the source · title, characters 47–62

Title

Inactivation Kinetics of Polyphenol Oxidase of Fresh-cut Apple by Ultrasonic Treatment

Yang Minggua Journal of Food Science and Technology-mysore 2015

Other claims from this paper (9)

Observation Apple PPO had an optimal temperature of 30 ℃.
Intervention effect PPO activity decreased with longer heat treatment.
Intervention effect Ultrasound power significantly affected PPO inactivation.
Intervention effect Processing temperature significantly affected PPO inactivation.
Intervention effect Increasing ultrasound power, temperature and duration increased PPO inactivation.
Method / resource A first-order model fit PPO inactivation well.
Intervention effect The k value rose with ultrasound power and processing temperature.
Intervention effect The D value fell with ultrasound power and processing temperature.
Intervention effect Ultrasonic treatment reduced PPO thermal sensitivity.

Method / resourceobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

Pyramid processing significantly lowers processing time relative to the original Support Vector Machine procedure.

Outcome: time consumptione0
Direction: lowere0
Comparator: original Support Vector Machine Proceduree0

Not reportedTaxon

Verbatim

e0
“Through this method, the time consumption is significantly lower than the original Support Vector Machine Procedure.”
✓ located verbatim in the source · abstract, characters 589–705

Title

Support Vector Machine-based image segmentation approach for automatic agriculture vehicle

Yonghua Han; Yaming Wang; Yun Zhao 2012 International Conference on Image Analysis and Signal Processing 2012. doi:10.1109/iasp.2012.6425034

Other claims from this paper (3)

Method / resource Support Vector Machine effectively identifies crop rows despite intersections.
Method / resource The proposed method changes examination accuracy little.
Method / resource Support Vector Machine kernel and main parameters were selected using farmland-image spatial structure and color distribution.

Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Pectin methylesterase had slight but significant activity in tomato fruit during in vitro oral processing, generating methanol with processing time.

Taxon: tomatoSolanum lycopersicume2
Treatment: in vitro oral processinge2
Gene: PMEe2
Outcome: activitye2
Qualifier: generating methanol as a function of oral processing timee2

Verbatim

e2
“PME had slight but significant activity in the tomato fruit during in vitro oral processing generating methanol as a function of oral processing time”
✓ located verbatim in the source · abstract, characters 854–1003

Title

In vitro oral processing of raw tomato: Novel insights into the role of endogenous fruit enzymes

Davide Rabiti; Caroline Orfila; Melvin Holmes; et al. Journal of Texture Studies 2018. doi:10.1111/jtxs.12338

Other claims from this paper (3)

“processing time”

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