Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1746-4811
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning ; volume:17 ; number:1 ; day:19 ; month:10 ; year:2021 ; pages:1-15 ; date:12.2021
Plant methods ; 17, Heft 1 (19.10.2021), 1-15, 12.2021
- Creator
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Furbank, Robert T.
Silva-Perez, Viridiana
Evans, John R.
Condon, Anthony G.
Estavillo, Gonzalo M.
He, Wennan
Newman, Saul
Poiré, Richard
Hall, Ashley
He, Zhen
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13007-021-00806-6
- URN
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urn:nbn:de:101:1-2022011219181472622325
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Furbank, Robert T.
- Silva-Perez, Viridiana
- Evans, John R.
- Condon, Anthony G.
- Estavillo, Gonzalo M.
- He, Wennan
- Newman, Saul
- Poiré, Richard
- Hall, Ashley
- He, Zhen
- SpringerLink (Online service)
Other Objects (12)
Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
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An Enhanced Method for Studying Wheat Stomata Physiology
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Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat
Application of leaf multispectral analyzer in comparison to hyperspectral device to assess the diversity of spectral reflectance indices in wheat genotypes
Phenotyping of wheat resistance to Fusarium head blight using hyperspectral imaging
Egyptian wheat
Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data
An Enhanced Method for Studying Wheat Stomata Physiology
Assessing Wheat Yellow Rust Disease through Hyperspectral Remote Sensing
Hyperspectral in-field sensing of foliar diseases of wheat
Wheat grain yield response to N application evaluated through canopy reflectance
Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat
Application of leaf multispectral analyzer in comparison to hyperspectral device to assess the diversity of spectral reflectance indices in wheat genotypes
Phenotyping of wheat resistance to Fusarium head blight using hyperspectral imaging
Egyptian wheat
Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data
An Enhanced Method for Studying Wheat Stomata Physiology
Assessing Wheat Yellow Rust Disease through Hyperspectral Remote Sensing
Hyperspectral in-field sensing of foliar diseases of wheat
Wheat grain yield response to N application evaluated through canopy reflectance
Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat
Application of leaf multispectral analyzer in comparison to hyperspectral device to assess the diversity of spectral reflectance indices in wheat genotypes
Phenotyping of wheat resistance to Fusarium head blight using hyperspectral imaging