Refine

Claim type

Research area

Polarity

Statistics

More filters

A claim can belong to several research areas, so group counts add up to more than the total.

Breeding, agronomy & horticulture 1516

Show all 1,516 →
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Processing time decreased by 10 ms.

Outcome
processing timee0
Direction
reducede0
Value
10 mse0

Not reportedTaxon

Verbatim

e0

“processing time was reduced by 10 ms”

✓ located verbatim in the source · abstract, characters 1080–1116

Title

YOLOv5s-T: A Lightweight Small Object Detection Method for Wheat Spikelet Counting

Lei Shi; Jiayue Sun; Yuanbo Dang; et al. Agriculture 2023. doi:10.3390/agriculture13040872

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

Claim · model-written summary

Algorithm processing time met real-time tea picking requirements.

Taxon
Teat0
Outcome
processing timee0
Comparator
real-time requirementse0

Verbatim

e0

“the processing time of the algorithm met the real-time requirements for effective tea-picking operations”

✓ located verbatim in the source · abstract, characters 1269–1373
t0

“Tea”

✓ located verbatim in the source · title, characters 46–49

Title

Development and Experiment of Adaptive Oolong Tea Harvesting Robot Based on Visual Localization

Ruidong Yu; Yinhui Xie; Qiming Li; et al. Agriculture 2024. doi:10.3390/agriculture14122213

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

Claim · model-written summary

Processing can be controlled by shaft speed and processing time.

Taxon
Prairie Grassest0
Outcome
Processing can be controllede0

Not reportedComparatorValue

Verbatim

e0

“Processing can be controlled by varying shaft rotation speed and processing time”

✓ located verbatim in the source · abstract, characters 531–611
t0

“Prairie Grasses”

✓ located verbatim in the source · title, characters 77–92

Title

Technical Note: A Rotary Seed Processor for Removing Pubescence from Seed of Prairie Grasses

K. P. Vogel; R. A. Masters; P. J. Callahan; et al. Journal of Range Management 1998. doi:10.2307/4003371

Other claims from this paper (9)

Physiology, metabolism & abiotic stress 1210

Show all 1,210 →
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The computer procedure increased processing time.

Taxon
Plantt0
Outcome
time requirements for processinge0
Direction
increasede0

Not reportedComparatorValue

Verbatim

e0

“time requirements for processing were increased”

✓ located verbatim in the source · abstract, characters 834–881
t0

“Plant”

✓ located verbatim in the source · title, characters 31–36

Title

Image Processing Technique for Plant Canopy Cover Evaluation

D. L. Thomas; F. J. K. daSilva; W. A. Cromer Transactions of the ASAE 1988. doi:10.13031/2013.30726

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

Claim · model-written summary

EfficientDet D0 required more processing time.

Taxon
PlantsViridiplantaet0
Outcome
processing timee0
Direction
moree0
Comparator
EfficientDet D0 modele0

Verbatim

e0

“EfficientDet D0 model required more processing time”

✓ located verbatim in the source · abstract, characters 864–915
t0

“Plants”

✓ located verbatim in the source · title, characters 56–62

Title

Using Deep Learning Model to Identify Iron Chlorosis in Plants

Munir Majdalawieh; Shafaq Khan; Md. T. Islam IEEE Access 2023. doi:10.1109/access.2023.3273607

Other claims from this paper (4)
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

The reduction effect of processing increased as processing time was extended.

Taxon
Bambara GroundnutVigna subterraneat0
Treatment
processing timee2
Outcome
effecte2
Direction
increasede2

Verbatim

t0

“Bambara Groundnut Cultivars”

✓ located verbatim in the source · title, characters 129–156
e2

“the effect increased as processing time was elongated”

✓ located verbatim in the source · abstract, characters 590–643

Title

Effect of Soaking and Boiling on Anti-nutritional Factors, Oligosaccharide Contents and Protein Digestibility of Newly Developed Bambara Groundnut Cultivars

Olaposi Adeleke; Oladipupo Qudus Adiamo; Olumide Samson Fawale; et al. Turkish Journal of Agriculture - Food Science and Technology 2017. doi:10.24925/turjaf.v5i9.1006-1014.949

Other claims from this paper (10)

Methods & resources 1113

Show all 1,113 →
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The computer procedure increased processing time.

Taxon
Plantt0
Outcome
time requirements for processinge0
Direction
increasede0

Not reportedComparatorValue

Verbatim

e0

“time requirements for processing were increased”

✓ located verbatim in the source · abstract, characters 834–881
t0

“Plant”

✓ located verbatim in the source · title, characters 31–36

Title

Image Processing Technique for Plant Canopy Cover Evaluation

D. L. Thomas; F. J. K. daSilva; W. A. Cromer Transactions of the ASAE 1988. doi:10.13031/2013.30726

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

Claim · model-written summary

The algorithm was precise and reduced processing time.

Outcome
processing timee0
Direction
decreasede0

Not reportedComparatorValue

Verbatim

e0

“The algorithm is precious and the processing time is decreased.”

✓ located verbatim in the source · abstract, characters 586–649
t0

“Tobacco”

✓ located verbatim in the source · title, characters 33–40

Title

A Classification Algorithm for a Tobacco Leaf Structure with Image Processing

Shang Qing-qing Journal of Donghua University 2007

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

Claim · model-written summary

Processing time decreased by 10 ms.

Outcome
processing timee0
Direction
reducede0
Value
10 mse0

Not reportedTaxon

Verbatim

e0

“processing time was reduced by 10 ms”

✓ located verbatim in the source · abstract, characters 1080–1116

Title

YOLOv5s-T: A Lightweight Small Object Detection Method for Wheat Spikelet Counting

Lei Shi; Jiayue Sun; Yuanbo Dang; et al. Agriculture 2023. doi:10.3390/agriculture13040872

Other claims from this paper (10)

Woody plants 466

Show all 466 →
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Algorithm processing time met real-time tea picking requirements.

Taxon
Teat0
Outcome
processing timee0
Comparator
real-time requirementse0

Verbatim

e0

“the processing time of the algorithm met the real-time requirements for effective tea-picking operations”

✓ located verbatim in the source · abstract, characters 1269–1373
t0

“Tea”

✓ located verbatim in the source · title, characters 46–49

Title

Development and Experiment of Adaptive Oolong Tea Harvesting Robot Based on Visual Localization

Ruidong Yu; Yinhui Xie; Qiming Li; et al. Agriculture 2024. doi:10.3390/agriculture14122213

Other claims from this paper (7)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

The described confocal data processing method reduced processing time.

Organ / stage
pollen and pistile1
Outcome
time needed for processing data in LCSMe0
Direction
decreasede0

Not reportedValue

Verbatim

e0

“the time needed for processing data in LCSM will be largely decreased”

✓ located verbatim in the source · abstract, characters 210–279
e1

“with pollen and pistil of pear”

✓ located verbatim in the source · abstract, characters 164–194

Title

Technolog of data collection and analysis from Laser Confocal Scanning Microscope

Shaoling Zhang Guoshu xuebao 2005

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

Claim · model-written summary

FTIR distinguished Forsythis samples by processing time.

Taxon
Forsythis suspense(Thunb.)Vahle0
Outcome
different processing timee0
Comparator
different processing timee0

Verbatim

e0

“Forsythis suspense(Thunb.)Vahl can be distinguished by different processing methods and different processing time,according to the number,the shape and the relative intensity of the absorption peaks”

✓ located verbatim in the source · abstract, characters 669–867

Title

Identify Different Processing Methods of Forsythis suspense(Thunb.)Vahl by FTIR Spectrometry

Bao Li Chinese Journal of Spectroscopy Laboratory 2011

Other claims from this paper (3)

Plant interactions & biotic stress 404

Show all 404 →
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

LLC averaged 1.66 milliseconds processing time.

Outcome
processing timee0
Value
1.66 millisecondse0

Not reportedTaxon

Verbatim

e0

“average 1.66 milliseconds of processing time”

✓ located verbatim in the source · abstract, characters 663–707

Title

Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC)

Faudziah Ahmad; Ku Ruhana Ku‐Mahamud; Mohd Shamrie Sainin; et al. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) 2015

Other claims from this paper (2)
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 resultpositivemeasured

Claim · model-written summary

YOLOv11 required less processing time than YOLOv10.

Taxon
Cropt0
Outcome
processing timee0
Direction
lesse0

Not reportedComparatorValue

Verbatim

t0

“Crop”

✓ located verbatim in the source · title, characters 29–33
e0

“YOLOv11 was more efficient, consuming less computational resources and processing time”

✓ located verbatim in the source · abstract, characters 1384–1470

Title

Deep Learning Approaches for Crop Disease Detection Using Yolov11 and Yolov10

Akansh Vishwakarma; Murugan A 2025 International Conference on Computing Technologies & Data Communication (ICCTDC) 2025. doi:10.1109/icctdc64446.2025.11158725

Other claims from this paper (4)

Molecular genetics & genomics 133

Show all 133 →
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The modified protocol reduced processing time.

Taxon
bananat0
Treatment
this protocole0
Outcome
processing timee0
Direction
reducede0

Not reportedComparator

Verbatim

e0

“this protocol reduced the processing time, lowered costs, used less expensive equipment”

✓ located verbatim in the source · abstract, characters 1111–1198
e1

“modified Valderrama-Cháirez protocol”

✓ located verbatim in the source · abstract, characters 929–965
t0

“banana leaves”

✓ located verbatim in the source · title, characters 83–96

Title

Isolation of retro-transcribed RNA from in vitro Mycosphaerella fijiensis-infected banana leaves

C.M. Rodrguez-Garca; L. Peraza-Echeverra; I.R. Islas-Flores; et al. Genetics and Molecular Research 2010. doi:10.4238/vol9-3gmr865

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

Claim · model-written summary

Bayesian LASSO was the slowest in processing time.

Outcome
processing timee0
Direction
sloweste0
Comparator
rrBLUPe0

Not reportedTaxonValue

Verbatim

e0

“Considering the processing time, the three methodologies were statistically different, rrBLUP was the fastest, and Bayesian LASSO was the slowest.”

✓ located verbatim in the source · abstract, characters 960–1106

Title

Comparison of methods used to identify superior individuals in genomic selection in plant breeding

L.L. Bhering; V.S. Junqueira; L.A. Peixoto; et al. Genetics and Molecular Research 2015. doi:10.4238/2015.september.9.26

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

Claim · model-written summary

By avoiding semi-automated steps, NODeJ is stated to reduce processing time and analytical bias.

Outcome
processing time and analytical biase0
Direction
reducede0
Comparator
semi-automated stepse0

Not reportedTaxon

Verbatim

e0

“avoiding the semi-automated steps, resulting in reduced processing time and analytical bias”

✓ located verbatim in the source · abstract, characters 1212–1303

Title

NODeJ: an ImageJ plugin for 3D segmentation of nuclear objects

Tristan Dubos; Axel Poulet; Geoffrey Thomson; et al. BMC Bioinformatics 2022. doi:10.1186/s12859-022-04743-6

Other claims from this paper (2)

Development, reproduction & morphology 131

Show all 131 →
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The algorithm was precise and reduced processing time.

Outcome
processing timee0
Direction
decreasede0

Not reportedComparatorValue

Verbatim

e0

“The algorithm is precious and the processing time is decreased.”

✓ located verbatim in the source · abstract, characters 586–649
t0

“Tobacco”

✓ located verbatim in the source · title, characters 33–40

Title

A Classification Algorithm for a Tobacco Leaf Structure with Image Processing

Shang Qing-qing Journal of Donghua University 2007

Other claims from this paper (4)
Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

The segmentation approach has low inference time for near real-time processing.

Taxon
plant rootse1
Outcome
inference timee5
Qualifier
near real-time processinge5

Verbatim

e1

“generate realistic and high resolution images of plant roots”

✓ located verbatim in the source · abstract, characters 207–267
e5

“low inference time for near real-time processing”

✓ located verbatim in the source · abstract, characters 1083–1131

Title

Plant Root Phenotyping Using Deep Conditional GANs and Binary Semantic Segmentation

Vaishnavi Thesma; Javad Mohammadpour Velni Sensors 2022. doi:10.3390/s23010309

Other claims from this paper (5)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

The described confocal data processing method reduced processing time.

Organ / stage
pollen and pistile1
Outcome
time needed for processing data in LCSMe0
Direction
decreasede0

Not reportedValue

Verbatim

e0

“the time needed for processing data in LCSM will be largely decreased”

✓ located verbatim in the source · abstract, characters 210–279
e1

“with pollen and pistil of pear”

✓ located verbatim in the source · abstract, characters 164–194

Title

Technolog of data collection and analysis from Laser Confocal Scanning Microscope

Shaoling Zhang Guoshu xuebao 2005

Other claims from this paper (2)

Ecology, evolution & diversity 32

Show all 32 →
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Feature reduction decreased processing time in many cases.

Taxon
Two Basil Speciest0
Outcome
processing timee0
Direction
decreasee0
Comparator
Feature reductione0

Verbatim

t0

“Two Basil Species”

✓ located verbatim in the source · title, characters 64–81
e0

“Feature reduction provides the decrease in processing time in many cases”

✓ located verbatim in the source · abstract, characters 553–625

Title

Feature Reduction from Correlation Matrix for Classification of Two Basil Species in Common Genus

Varin Chouvatut; Supawit Wattanapairotrat 2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE) 2019. doi:10.1109/jcsse.2019.8864221

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

Claim · model-written summary

GoogLeNet required longer processing time than the other models.

Taxon
leaft0
Outcome
processing timee0
Direction
longere0
Qualifier
high number of layerse0
Comparator
the other modelse0

Verbatim

e0

“the processing time for GoogLeNet is longer compared to the other models due to the high number of layers in its architecture”

✓ located verbatim in the source · abstract, characters 746–871
t0

“Leaf Recognition”

✓ located verbatim in the source · title, characters 48–64

Title

Comparing Convolution Neural Network Models for Leaf Recognition

Nurbaity Sabri; Zalilah Abdul Aziz; Zaidah Ibrahim; et al. International Journal of Engineering & Technology 2018. doi:10.14419/ijet.v7i3.15.17518

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

Claim · model-written summary

The procedure reduced data size and processing time without substantial information loss.

Taxon
PlantsViridiplantaee1
Outcome
data size and processing timee0
Comparator
important informatione0

Verbatim

e0

“The procedure did not eliminate too much important information while reducing data size and processing time.”

✓ located verbatim in the source · abstract, characters 471–579
e1

“Plants can be identified using several variables”

✓ located verbatim in the source · abstract, characters 9–57

Title

Machine Learning As Seed Image Identification Using Principal Component Analysis (PCA)

Indra Laksmana; Hendra; Jamaluddin; et al. IOP Conference Series Earth and Environmental Science 2022. doi:10.1088/1755-1315/1097/1/012001

Other claims from this paper (4)

not stated 14

Observationobservedoriginal resultmeasured

Claim · model-written summary

The processing time of the leaf identification method was reduced

Taxon
Ipomoea spp.Ipomoeae0
Outcome
processing timee3
Qualifier
was reducede3

Verbatim

e0

“Ipomoea spp., a dicotyledon weed present in sugarcane plantations”

✓ located verbatim in the source · abstract, characters 65–130
e3

“the processing time was reduced”

✓ located verbatim in the source · abstract, characters 943–974

Title

A deterministic technique for identifying dicotyledons in images

Josué Leal Moura Dantas; André Riyuiti Hirakawa; Bruno Albertini Smart Agricultural Technology 2022. doi:10.1016/j.atech.2022.100092

schema checkedfield values found in the cited quotesPermalinkReport an issue

Other claims from this paper (2)
Observationauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

The enhanced photogrammetric workflow for multitemporal data is claimed to reduce processing time for experts and nonprofessionals.

Taxon
vegetatione0
Outcome
processing timee3
Direction
reducee3

Verbatim

e0

“for vegetation analysis and monitoring”

✓ located verbatim in the source · abstract, characters 420–458
e3

“helps experts and nonprofessionals to reduce their processing time”

✓ located verbatim in the source · abstract, characters 1104–1170

Title

Evaluating the Performance of Airborne and Ground Sensors for Applications in Precision Agriculture: Enhancing the Postprocessing State-of-the-Art Algorithm

Karel Pavelka; Paulina Raeva; Karel Pavelka Sensors 2022. doi:10.3390/s22197693

schema checkedfield values found in the cited quotesPermalinkReport an issue

Other claims from this paper (2)
Observationobservedoriginal resultbasis n/a

Claim · model-written summary

The processing methods of Succus Bambusae were revealed for the first time.

Taxon
bambooBambuseaee0
Outcome
processing methods of Succus Bambusaee3

Verbatim

e0

“This traditional Chinese medicine (TCM) is derived from bamboo species”

✓ located verbatim in the source · abstract, characters 216–286
e3

“Revealing processing methods of Succus Bambusae for the first time”

✓ located verbatim in the source · abstract, characters 1342–1408

Title

Comprehensive review of botany, phytochemistry and pharmacology of quality control of Succus Bambusae

Biao Liu; Wenyue Zhang; Ziwei Chen; et al. Industrial Crops and Products 2025. doi:10.1016/j.indcrop.2025.120979

schema checkedfield values found in the cited quotesPermalinkReport an issue

Other claims from this paper (2)

Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.