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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 / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The proposed model reduced processing time by 30%.

Taxon
Tomato PlantsSolanum lycopersicumt0
Outcome
processing timee0
Direction
reducese0
Value
30%e0

Verbatim

t0

“Tomato Plants”

✓ located verbatim in the source · title, characters 48–61
e0

“reduces processing time by 30%”

✓ located verbatim in the source · abstract, characters 674–704

Title

Comparative Analysis of Disease Detection Among Tomato Plants Using Machine and Deep Learning Techniques

Jyoti Wadmare; Jai Joisar; Maulik Jadav; et al. 2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP) 2024. doi:10.1109/innocomp63224.2024.00066

Other claims from this paper (5)
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 / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

A real time image processing algorithm synthesized over FPGAs may yield faster results, with processing time of few seconds, than manual or simulated methods, which are much slower.

Taxon
Rice Kernelst0
Outcome
processing timee0
Value
few secondse0
Comparator
manual methods or simulated methodse0

Verbatim

t0

“Rice Kernels”

✓ located verbatim in the source · title, characters 38–50
e0

“may yield faster results with processing time of few seconds, whereas the manual methods or simulated methods are much slower in terms of their speed”

✓ located verbatim in the source · abstract, characters 1137–1286

Title

Real Time Computer Vision Systems for Rice Kernels

Bhupinder Verma; Gurpreet Kaur Indian Journal of Science and Technology 2016. doi:10.17485/ijst/2016/v9i45/106366

Other claims from this paper (1)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Processing time interacted with sample load.

Taxon
Momordica Charantia L.t0
Treatment
microwave processing time and sample loade0
Outcome
interactione1

Not reportedDirection

Verbatim

e0

“microwave processing time and sample load”

✓ located verbatim in the source · abstract, characters 696–737
t0

“Momordica Charantia L.”

✓ located verbatim in the source · title, characters 42–64
e1

“The interactions between the factors were as follows: there was some interaction between microwave power and microwave processing time, microwave processing time and sample load”

✓ located verbatim in the source · abstract, characters 560–737

Title

Influences of microwave on chlorophyll in Momordica Charantia L.

Jianxiong Li Food Science and Technology International 2008

Other claims from this paper (10)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The segmentation method shortened processing time.

Taxon
leaft0
Outcome
processing timee0
Direction
shortere0
Comparator
existing object detection methode1

Not reportedValue

Verbatim

e0

“produced a shorter processing time”

✓ located verbatim in the source · abstract, characters 614–648
t0

“Leaf Lesion”

✓ located verbatim in the source · title, characters 67–78
e1

“existing object detection method”

✓ located verbatim in the source · abstract, characters 201–233

Title

Segmentation Method Based on Artificial Bee Colony for Recognizing Leaf Lesion

Faudziah Ahmad; Ku Ruhana Ku‐Mahamud; Mohd Shamrie Sainin; et al. Journal of Telecommunication Electronic and Computer Engineering (JTEC) 2017

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

Claim · model-written summary

Xception processing time was around 741 seconds.

Taxon
plante1
Outcome
time processinge0
Value
around 741 secondse0

Verbatim

e0

“with a time processing around 741 seconds”

✓ located verbatim in the source · abstract, characters 1025–1066
e1

“Xception was the best model for plant classification”

✓ located verbatim in the source · abstract, characters 919–971

Title

Deep Learning for Plant Classification in Precision Agriculture

Carlos A. Mamani Diaz; Edgar E. Medina Castaneda; Carlos A. Mugruza Vassallo 2019 International Conference on Computer, Control, Informatics and its Applications (IC3INA) 2019. doi:10.1109/ic3ina48034.2019.8949612

Other claims from this paper (2)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Repeated chitosan processing increased chitinase activity and retention time.

Taxon
cropst0
Treatment
repeat processinge0
Outcome
chitinase activity and retention timee0
Direction
increasede0

Not reportedComparator

Verbatim

e0

“after repeat processing chitinase activity and retention time both increased”

✓ located verbatim in the source · abstract, characters 273–349
t0

“crops”

✓ located verbatim in the source · title, characters 35–40

Title

Induction character of chitosan on crops chitinase

Jiang GuoLiang Haiyang kexue 2004

Other claims from this paper (2)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Processing time was important for canned apricot texture.

Taxon
apricotsPrunus armeniacat0
Treatment
processing timee0
Outcome
canned texturee0

Not reportedDirection

Verbatim

e0

“Important factors influencing canned texture were ripeness level of the fresh fruit and processing time.”

✓ located verbatim in the source · abstract, characters 150–254
t0

“Apricots”

✓ located verbatim in the source · title, characters 37–45

Title

Texture and Pectin Changes in Canned Apricots

B. S. LUH; K. D. DASTUR Journal of Food Science 1966. doi:10.1111/j.1365-2621.1966.tb00475.x

Other claims from this paper (8)
Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Ultrasound affected hydration rate, equilibrium moisture and lag phase time, reducing the processing time by 50%.

Taxon
Beanst0
Treatment
ultrasounde0
Outcome
processing timee0
Direction
reducinge0
Value
50%e0

Not reportedComparator

Verbatim

t0

“Beans Hydration and Germination”

✓ located verbatim in the source · title, characters 70–101
e0

“ultrasound affected them, reducing 50% of the processing time”

✓ located verbatim in the source · abstract, characters 783–844

Title

Combining Ionizing Irradiation and Ultrasound Technologies: Effect on Beans Hydration and Germination

Alberto Claudio Miano; Viviane Deroldo Sabadoti; Pedro Esteves Duarte Augusto Journal of Food Science 2019. doi:10.1111/1750-3841.14819

Other claims from this paper (5)

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