Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Plant methods(13, 2017), H. 97
- Klassifikation
-
Biowissenschaften, Biologie
- Ereignis
-
Veröffentlichung
- (wo)
-
Ilmenau
- (wer)
-
TU Ilmenau
- (wann)
-
2017
- Urheber
- DOI
-
10.1186/s13007-017-0245-8
- URN
-
urn:nbn:de:101:1-2019101403123880573591
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 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
Entstanden
- 2017
Ähnliche Objekte (12)
Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain
Rule-based maintenance of post-requirements traceability
The benefits of traceability during software implementation
Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
The SEOSS 33 dataset - requirements, bug reports, code history, and trace links for entire projects
Synaptic scaling - an artificial neural network regularization inspired by nature
7 Dimensions of software change patterns
Multi-view classification with convolutional neural networks
Flipped Classroom: Effective Teaching for Time Series Forecasting
A definition-by-example approach and visual language for activity patterns in engineering disciplines
Integrating context-based recommendation with deep NN image classification for plant identification tasks
Konzipierung und Realisierung eines Kommunikationsverfahrens zum Austausch von Modellierungsdaten und zur Erstellung und Aufrechterhaltung von Traceability zwischen verteilten Applikationen
Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain
Rule-based maintenance of post-requirements traceability
The benefits of traceability during software implementation
Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
The SEOSS 33 dataset - requirements, bug reports, code history, and trace links for entire projects
Synaptic scaling - an artificial neural network regularization inspired by nature
7 Dimensions of software change patterns
Multi-view classification with convolutional neural networks
Flipped Classroom: Effective Teaching for Time Series Forecasting
A definition-by-example approach and visual language for activity patterns in engineering disciplines
Integrating context-based recommendation with deep NN image classification for plant identification tasks
Konzipierung und Realisierung eines Kommunikationsverfahrens zum Austausch von Modellierungsdaten und zur Erstellung und Aufrechterhaltung von Traceability zwischen verteilten Applikationen
Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain
Rule-based maintenance of post-requirements traceability
The benefits of traceability during software implementation
Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
The SEOSS 33 dataset - requirements, bug reports, code history, and trace links for entire projects
Synaptic scaling - an artificial neural network regularization inspired by nature
7 Dimensions of software change patterns
Multi-view classification with convolutional neural networks
Flipped Classroom: Effective Teaching for Time Series Forecasting
A definition-by-example approach and visual language for activity patterns in engineering disciplines
Integrating context-based recommendation with deep NN image classification for plant identification tasks