Sunpheno: A Deep Neural Network for Phenological Classification of Sunflower Images
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Plants (13:14) - Basel : MDPI - Art.-Id. 1998
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Technische Universität Berlin
- (when)
-
2024
- Creator
-
Luoni, Sofia Ailin Bengoa
Ricci, Riccardo
Corzo, Melanie Anahi
Hoxha, Genc
Melgani, Farid
Fernandez, Paula Del Carmen
- DOI
-
10.14279/depositonce-21093
- Handle
-
11303/22292
- URN
-
urn:nbn:de:101:1-2408210159291.798557828485
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:53 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Luoni, Sofia Ailin Bengoa
- Ricci, Riccardo
- Corzo, Melanie Anahi
- Hoxha, Genc
- Melgani, Farid
- Fernandez, Paula Del Carmen
- Technische Universität Berlin
Time of origin
- 2024
Other Objects (12)
Investigating Yield and Phenological Stages of Sunflower Varieties in Agro-Ecological Environment
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
Sex classification of 3D skull images using deep neural networks
Lightweight convolutional neural network for chest X-ray images classification
Classification of rotation-invariant biomedical images using equivariant neural networks
Hyperspectral Image Classification of Satellite Images Using Compressed Neural Networks
Convolutional Neural Networks for Classification and Segmentation of Medical Images
Phenological and spectral optimisation of multi-temporal land use classification : [kumulative Dissertation]
Encoding candlesticks as images for pattern classification using convolutional neural networks
Encoding candlesticks as images for pattern classification using convolutional neural networks
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information
Investigating Yield and Phenological Stages of Sunflower Varieties in Agro-Ecological Environment
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
Sex classification of 3D skull images using deep neural networks
Lightweight convolutional neural network for chest X-ray images classification
Classification of rotation-invariant biomedical images using equivariant neural networks
Hyperspectral Image Classification of Satellite Images Using Compressed Neural Networks
Convolutional Neural Networks for Classification and Segmentation of Medical Images
Phenological and spectral optimisation of multi-temporal land use classification : [kumulative Dissertation]
Encoding candlesticks as images for pattern classification using convolutional neural networks
Encoding candlesticks as images for pattern classification using convolutional neural networks
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information
Investigating Yield and Phenological Stages of Sunflower Varieties in Agro-Ecological Environment
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
Sex classification of 3D skull images using deep neural networks
Lightweight convolutional neural network for chest X-ray images classification
Classification of rotation-invariant biomedical images using equivariant neural networks
Hyperspectral Image Classification of Satellite Images Using Compressed Neural Networks
Convolutional Neural Networks for Classification and Segmentation of Medical Images
Phenological and spectral optimisation of multi-temporal land use classification : [kumulative Dissertation]
Encoding candlesticks as images for pattern classification using convolutional neural networks
Encoding candlesticks as images for pattern classification using convolutional neural networks
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks