Adapting the QUEFTS model to predict attainable yields when training data are characterized by imperfect management Article Swipe
Arie Pieter Paulus Ravensbergen
,
Jordan Chamberlin
,
Peter Craufurd
,
Bello Muhammad Shehu
,
Renske Hijbeek
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.fcr.2021.108126
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.fcr.2021.108126
Related Topics
Concepts
Quantile regression
Agriculture
Soil fertility
Yield (engineering)
Agricultural engineering
Production (economics)
Environmental science
Crop yield
Regression analysis
Statistics
Econometrics
Soil water
Mathematics
Agronomy
Ecology
Soil science
Economics
Biology
Metallurgy
Materials science
Macroeconomics
Engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.fcr.2021.108126
- OA Status
- hybrid
- Cited By
- 10
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3146561917
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3146561917Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.fcr.2021.108126Digital Object Identifier
- Title
-
Adapting the QUEFTS model to predict attainable yields when training data are characterized by imperfect managementWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-03-31Full publication date if available
- Authors
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Arie Pieter Paulus Ravensbergen, Jordan Chamberlin, Peter Craufurd, Bello Muhammad Shehu, Renske HijbeekList of authors in order
- Landing page
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https://doi.org/10.1016/j.fcr.2021.108126Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.fcr.2021.108126Direct OA link when available
- Concepts
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Quantile regression, Agriculture, Soil fertility, Yield (engineering), Agricultural engineering, Production (economics), Environmental science, Crop yield, Regression analysis, Statistics, Econometrics, Soil water, Mathematics, Agronomy, Ecology, Soil science, Economics, Biology, Metallurgy, Materials science, Macroeconomics, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 3, 2023: 1, 2022: 4, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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