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Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Prediction errors matched the magnitude of calculated probable errors.

Taxon
tobacco plantNicotiana tabacume1
Outcome
Prediction errorse0
Direction
same magnitudee0
Comparator
calculated probable errorse0

Verbatim

e0

“Prediction errors were of the same magnitude as the calculated probable errors.”

✓ located verbatim in the source · abstract, characters 962–1041
e1

“living tobacco plant”

✓ located verbatim in the source · abstract, characters 580–600

Title

Temperature Predictions for Plant and Controlled-Resistance Artificial Leaves

John E. Morrison; Jr.; Billy J. Barfield Transactions of the ASAE 1981. doi:10.13031/2013.34421

Other claims from this paper (3)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Cross-validation prediction errors were similar to fitting errors.

Outcome
root mean squared errors of prediction (RMSEPs)e0
Direction
similare0
Comparator
fitting errorse0

Verbatim

e0

“The root mean squared errors of prediction (RMSEPs) were similar to fitting errors”

✓ located verbatim in the source · abstract, characters 1002–1084

Title

Estimating Genetic Coefficients for the CSM‐CERES‐Maize Model in North Carolina Environments

Zhengyu Yang; Gail G. Wilkerson; Gregory S. Buol; et al. Agronomy Journal 2009. doi:10.2134/agronj2008.0234x

Other claims from this paper (3)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Cross-validation errors were similar to errors from independent data.

Outcome
errorse0
Direction
similare0
Comparator
independent datae0

Verbatim

e0

“These errors were similar to those computed using independent data.”

✓ located verbatim in the source · abstract, characters 1275–1342

Title

Evaluating Methods for Simulating Soybean Cultivar Responses Using Cross Validation

Ayse Irmak; James W. Jones; Theodoros Mavromatis; et al. Agronomy Journal 2000. doi:10.2134/agronj2000.9261140x

Other claims from this paper (3)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Country and crop forecasting errors were comparable to group-level errors.

Outcome
errorse0
Direction
comparablee0
Comparator
the ones obtained for the groupe0

Not reportedTaxon

Verbatim

e0

“the errors obtained are comparable to the ones obtained for the group.”

✓ located verbatim in the source · abstract, characters 1003–1073

Title

Global Cropland Yield Monitoring with Gaussian Processes

Maria Piles; Anna Mateo-Sanchis; Jordi Munoz-Mari; et al. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS 2021. doi:10.1109/igarss47720.2021.9554315

Other claims from this paper (3)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Errors associated with NIRS estimations were often one-half as large as the experimental and sampling errors.

Outcome
Errors associated with NIRS estimationse0
Value
one‐halfe0
Comparator
experimental and sampling errorse0

Verbatim

e0

“Errors associated with NIRS estimations were often one‐half as large as the experimental and sampling errors”

✓ located verbatim in the source · abstract, characters 1633–1741

Title

Estimation of Botanical Composition in Alfalfa/Ryegrass Mixtures by Near Infrared Spectroscopy

J. A. Shaffer; G. A. Jung; J. S. Shenk; et al. Agronomy Journal 1990. doi:10.2134/agronj1990.00021962008200040004x

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

Claim · model-written summary

Thermal conductance estimation errors were similar in order to porometer measurement errors.

Taxon
vineyarde1
Outcome
errors in thermal estimates of conductancee0
Comparator
measurement errors using a porometere0
Setting
Southern Portugale1

Verbatim

e0

“The errors in thermal estimates of conductance were of the same order as the measurement errors using a porometer”

✓ located verbatim in the source · abstract, characters 683–796
e1

“measured gs data from a vineyard in Southern Portugal”

✓ located verbatim in the source · abstract, characters 628–681

Title

Estimating stomatal conductance with thermal imagery

I. LEINONEN; O. M. GRANT; C. P. P. TAGLIAVIA; et al. Plant Cell & Environment 2006. doi:10.1111/j.1365-3040.2006.01528.x

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

Claim · model-written summary

Detection errors included more commission errors in upper stems.

Taxon
Scots pinePinus sylvestrist0
Organ / stage
upper stem regionse0
Outcome
commission errorse0
Direction
moree0

Not reportedValue

Verbatim

e0

“Error patterns revealed more commission errors in upper stem regions”

✓ located verbatim in the source · abstract, characters 1215–1283
t0

“Scots pine (Pinus sylvestris L.) trees”

✓ located verbatim in the source · abstract, characters 463–501

Title

Stem crook detection in terrestrial laser scanning data using semi-empirical simulations

Raul de Paula Pires; Nils Lindgren; Henrik J Persson; et al. Forestry An International Journal of Forest Research 2026. doi:10.1093/forestry/cpag026

Other claims from this paper (3)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Nutrient delivery errors were in part due to inaccuracies in the tank concentrations rather than operational errors.

Taxon
willowSalixt0
Outcome
errorse2
Qualifier
inaccuracies in the tank concentrationse2
Comparator
operational errorse2

Verbatim

t0

“Computer-Controlled Delivery of Five Levels of Nutrients to Container-Grown Willow”

✓ located verbatim in the source · title, characters 0–82
e2

“the errors were in part due to inaccuracies in the tank concentrations rather than operational errors”

✓ located verbatim in the source · abstract, characters 848–949

Title

Computer-Controlled Delivery of Five Levels of Nutrients to Container-Grown Willow

Jessica J. Prenger; Robert C. Hansen; Carolyn Glynn; et al. 2001 Sacramento, CA July 29-August 1,2001 2001. doi:10.13031/2013.7499

Other claims from this paper (1)
Method / resourceobservedoriginal resultnegativesignificant (as stated)simulated

Claim · model-written summary

Temperature data errors influenced both crop models significantly more than precipitation errors.

Taxon
cropt0
Outcome
influence on both modelse0
Direction
strongere0
Comparator
errors in precipitatione0

Verbatim

e0

“errors in temperature data have a significantly stronger influence on both models than errors in precipitation”

✓ located verbatim in the source · abstract, characters 521–631
t0

“a process-based crop model and a statistical crop model”

✓ located verbatim in the source · abstract, characters 451–506

Title

Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model

James Watson; Andrew J. Challinor; Thomas E. Fricker; et al. Climatic Change 2014. doi:10.1007/s10584-014-1264-3

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

Claim · model-written summary

Prototype testing recorded four communication errors in 10,250 operations.

Outcome
communication errorse0
Value
four communication errorse0
Qualifier
10,250 operationse0

Not reportedComparator

Verbatim

e0

“four communication errors and three valve errors occurred out of 10,250 operations”

✓ located verbatim in the source · abstract, characters 894–976
e1

“nectarine orchard”

✓ located verbatim in the source · abstract, characters 150–167

Title

Design of a System for Individual Microsprinkler Control

R. W. Coates; M. J. Delwiche; P. H. Brown Transactions of the ASABE 2006. doi:10.13031/2013.22276

Other claims from this paper (5)

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