Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1746-4811
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data ; volume:19 ; number:1 ; day:20 ; month:1 ; year:2023 ; pages:1-11 ; date:12.2023
Plant methods ; 19, Heft 1 (20.1.2023), 1-11, 12.2023
- Urheber
-
Pacheco-Gil, Rosa Angela
Velasco-Cruz, Ciro
Pérez-Rodríguez, Paulino
Burgueño, Juan
Pérez-Elizalde, Sergio
Rodrigues, Francelino
Ortiz-Monasterio, Ivan
del Valle-Paniagua, David Hebert
Toledo, Fernando
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13007-023-00980-9
- URN
-
urn:nbn:de:101:1-2023032821175588463570
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Pacheco-Gil, Rosa Angela
- Velasco-Cruz, Ciro
- Pérez-Rodríguez, Paulino
- Burgueño, Juan
- Pérez-Elizalde, Sergio
- Rodrigues, Francelino
- Ortiz-Monasterio, Ivan
- del Valle-Paniagua, David Hebert
- Toledo, Fernando
- SpringerLink (Online service)
Ähnliche Objekte (12)
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Wheat grain yield response to N application evaluated through canopy reflectance
Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance
INVESTIGATION OF LATENT TRACES USING INFRARED REFLECTANCE HYPERSPECTRAL IMAGING
Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics
EVALUATION OF ZY1-02D HYPERSPECTRAL SATELLITE SURFACE REFLECTANCE PRODUCTS
Hyperspectral reflectance dataset of pristine, weathered and biofouled plastics
REFLECTANCE RECONSTRUCTION OF HYPERSPECTRAL IMAGE BASED ON GAUSSIAN SURFACE FITTING
Hyperspectral-reflectance dataset of dry, wet and submerged marine litter
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Wheat grain yield response to N application evaluated through canopy reflectance
Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance
INVESTIGATION OF LATENT TRACES USING INFRARED REFLECTANCE HYPERSPECTRAL IMAGING
Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics
EVALUATION OF ZY1-02D HYPERSPECTRAL SATELLITE SURFACE REFLECTANCE PRODUCTS
Hyperspectral reflectance dataset of pristine, weathered and biofouled plastics
REFLECTANCE RECONSTRUCTION OF HYPERSPECTRAL IMAGE BASED ON GAUSSIAN SURFACE FITTING
Hyperspectral-reflectance dataset of dry, wet and submerged marine litter
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Wheat grain yield response to N application evaluated through canopy reflectance
Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning
Identification of plant leaf phosphorus content at different growth stages based on hyperspectral reflectance
INVESTIGATION OF LATENT TRACES USING INFRARED REFLECTANCE HYPERSPECTRAL IMAGING
Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics
EVALUATION OF ZY1-02D HYPERSPECTRAL SATELLITE SURFACE REFLECTANCE PRODUCTS
Hyperspectral reflectance dataset of pristine, weathered and biofouled plastics
REFLECTANCE RECONSTRUCTION OF HYPERSPECTRAL IMAGE BASED ON GAUSSIAN SURFACE FITTING