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Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Feedback lighting reduced CO2 required for fresh mass yield by 17%.

Outcome
CO 2 required to generate fresh mass yielde0
Direction
decreasee0
Value
17%e0

Verbatim

e0

“delivering a 17% decrease in CO 2 required to generate fresh mass yield”

✓ located verbatim in the source · abstract, characters 1008–1079
t0

“basil at the end of the photoperiod”

✓ located verbatim in the source · abstract, characters 785–820

Title

Green instructions: Intelligent lighting via real-time chlorophyll fluorescence feedback: Enhancing yield and energy efficiency in controlled environment agriculture

Jim Stevens; Phillip Davey; Piotr Kasznicki; et al. Smart Agricultural Technology 2025. doi:10.1016/j.atech.2025.101593

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

Claim · model-written summary

Decreasing stable organic carbon by 15% raised predicted PK yield by 57.6%.

Taxon
maizeZea mayst0
Treatment
treatment PKe0
Outcome
grain yieldse0
Direction
increasede0
Value
57.6%e0
Qualifier
15% decreasee0

Verbatim

e0

“For stable organic carbon content, a 15% decrease increased grain yields for treatment PK by 57.6%”

✓ located verbatim in the source · abstract, characters 964–1062
t0

“maize intensification”

✓ located verbatim in the source · title, characters 32–53

Title

Soil data importance in guiding maize intensification and yield gap estimations in East Africa

Kenneth Nyombi Archives of Agronomy and Soil Science 2018. doi:10.1080/03650340.2018.1528497

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

Claim · model-written summary

The largest model uncertainty was the start of the senescent decline in canopy quantum yield.

Outcome
predicting a start time for the senescent decrease of canopy quantum yielde0
Direction
most uncertaintye0

Not reportedComparatorValue

Verbatim

e0

“The most uncertainty arose in predicting a start time for the senescent decrease of canopy quantum yield.”

✓ located verbatim in the source · abstract, characters 958–1063
e1

“for wheat (Triticum aestivum L.)”

✓ located verbatim in the source · abstract, characters 278–310

Title

An approach to crop modeling with the energy cascade.

T Volk; B Bugbee; R M Wheeler PubMed 1995

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

Claim · model-written summary

AI methods decreased fertilizer application by 20% without sacrificing output.

Taxon
Cropt0
Outcome
fertilizer applicatione0
Direction
decreasee0
Value
20%e0
Qualifier
without sacrificing outpute0

Verbatim

e0

“a 20% decrease in fertilizer application, all without sacrificing output”

✓ located verbatim in the source · abstract, characters 633–705
t0

“Crop Recommendation and Yield Maximization”

✓ located verbatim in the source · title, characters 36–78

Title

Agri- wiz An AI Driven Platform for Crop Recommendation and Yield Maximization

Jathar Raj Girish INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 2025. doi:10.55041/ijsrem50964

Other claims from this paper (2)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

The reparameterized t-Student distribution decreased the influence of discrepant values in soybean yield data.

Taxon
SOYBEANGlycine maxt0
Outcome
influence of these pointse0
Direction
decreasee0
Qualifier
data with discrepant valuese0

Not reportedComparatorValue

Verbatim

e0

“The reparameterized t-Student distribution is an alternative in studying data with discrepant values, showing the ability to decrease the influence of these points.”

✓ located verbatim in the source · abstract, characters 791–955
t0

“SOYBEAN”

✓ located verbatim in the source · title, characters 23–30

Title

SPATIAL VARIABILITY OF SOYBEAN YIELD THROUGH A REPARAMETERIZED T-STUDENT MODEL

Rosangela C. Schemmer; Miguel A. Uribe-Opazo; Manuel Galea; et al. Engenharia Agrícola 2017. doi:10.1590/1809-4430-eng.agric.v37n4p760-770/2017

Other claims from this paper (1)
Method / resourceauthor interpretationoriginal resultmeasured

Claim · model-written summary

Using uncorrelated SNPs may reduce dataset dimensions.

Taxon
perennial ryegrassLolium perennet0
Outcome
data set dimensionse0
Direction
decreasee0

Not reportedComparator

Verbatim

t0

“perennial ryegrass”

✓ located verbatim in the source · title, characters 47–65
e0

“allowing for a potential decrease of the data set dimensions”

✓ located verbatim in the source · abstract, characters 816–876

Title

Genomic prediction of seasonal forage yield in perennial ryegrass

Agnieszka Konkolewska; Steffie Phang; Patrick Conaghan; et al. Grassland Research 2023. doi:10.1002/glr2.12058

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Smart irrigation decreased water consumption by up to 25%.

Taxon
Sugarcanet0
Outcome
water consumptione0
Direction
decreasee0
Value
$25 \%$e0

Not reportedComparator

Verbatim

t0

“Sugarcane Cultivation”

✓ located verbatim in the source · title, characters 50–71
e0

“the system can decrease water consumption by up to $25 \%$ while increasing crop yield by $15 \%$”

✓ located verbatim in the source · abstract, characters 698–795

Title

IoT-Based Smart Irrigation System for Sustainable Sugarcane Cultivation: Enhancing Resource Management and Optimizing Crop Yield

Raksha Vishwanath; Sinchana N Makam; H S Gururaja 2024 First International Conference on Software, Systems and Information Technology (SSITCON) 2024. doi:10.1109/ssitcon62437.2024.10796232

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

Claim · model-written summary

Using PCA to select influencing variables reduced the error and inflation of the constructed yield models.

Outcome
decrease of the error and inflation of constructed modelse1

Not reportedComparator

Verbatim

e1

“applying PCA technique as a powerful statistical tool leads to decrease of the error and inflation of constructed models”

✓ located verbatim in the source · abstract, characters 2472–2592

Title

Modeling Rain-fed Wheat and Barley based on Meteorological Features and Drought Indices

A. Mosaedi; S. Mohammadi Moghaddam; M. Ghabaei Sough DOAJ (DOAJ: Directory of Open Access Journals) 2016. doi:10.22067/jsw.v0i0.36894

Other claims from this paper (13)
Method / resourceobservedoriginal resultnegativesimulated

Claim · model-written summary

Modeled UAN concentrations of 1, 3 and 12% corresponded to 5, 10 and 20% soybean yield reductions.

Taxon
soybeanGlycine maxe0
Outcome
soybean yielde0
Direction
decreasee0
Value
1, 3, and 12%e0

Verbatim

e0

“The predicted percent UAN concentration that caused a 5, 10, and 20% decrease in soybean yield was 1, 3, and 12%, respectively”

✓ located verbatim in the source · abstract, characters 1323–1449

Title

The Impact of the Addition of Urea Ammonium Nitrate to 2,4-D on the Control of Multiple-Herbicide-Resistant Canada Fleabane

Nader Soltani; Christy Shropshire; Peter H. Sikkema Journal of Agricultural Science 2023. doi:10.5539/jas.v15n6p68

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

Claim · model-written summary

The model reproduced the 2007 decrease in leaf area index and biomass.

Taxon
soybeanGlycine maxt0
Outcome
reduction in the leaf area index (LAI) and in biomass production during this year, which was reproduced by the modele0

Not reportedValue

Verbatim

e0

“There was a reduction in the leaf area index (LAI) and in biomass production during this year, which was reproduced by the model.”

✓ located verbatim in the source · abstract, characters 526–655
t0

“soybean growth and yield under northeastern Amazon climatic conditions”

✓ located verbatim in the source · title, characters 14–84

Title

Simulation of soybean growth and yield under northeastern Amazon climatic conditions

Paulo Jorge de Oliveira Ponte de Souza; José Renato Bouças Farias; José Paulo Mourão de Melo e Abreu; et al. Pesquisa Agropecuária Brasileira 2011. doi:10.1590/s0100-204x2011000600001

Other claims from this paper (5)

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