P32 - Improving high throughput sensor-based data acquisition of breeding material.
- Published in:
- Julius-Kühn-Archiv, 2022, n. 470, p. 114
- By:
- Publication type:
- Article
Works by Gauweiler, Pascal
Results: 7
1
2
P28 - Using near-infrared spectroscopy to quantify quality-determining sugars and acids in grape must.
- Published in:
- Julius-Kühn-Archiv, 2022, n. 470, p. 110
- By:
- Publication type:
- Article
3
Sensor based screening of yield relevant characteristics within grapevine breeding research.
- Published in:
- Julius-Kühn-Archiv, 2022, n. 470, p. 32
- By:
- Publication type:
- Article
4
Non-destructive quantification of key quality characteristics in individual grapevine berries using near-infrared spectroscopy.
- Published in:
- Frontiers in Plant Science, 2024, p. 1, doi. 10.3389/fpls.2024.1386951
- By:
- Publication type:
- Article
5
Determination of Sugars and Acids in Grape Must Using Miniaturized Near-Infrared Spectroscopy.
- Published in:
- Sensors (14248220), 2023, v. 23, n. 11, p. 5287, doi. 10.3390/s23115287
- By:
- Publication type:
- Article
6
A Concept Study for Feature Extraction and Modeling for Grapevine Yield Prediction.
- Published in:
- Vitis, 2024, v. 63, p. 1, doi. 10.5073/vitis.2024.63.03
- By:
- Publication type:
- Article
7
PHENOquad: A new multi sensor platform for field phenotyping and screening of yield relevant characteristics within grapevine breeding research.
- Published in:
- Vitis, 2023, v. 62, p. 41, doi. 10.5073/vitis.2023.62.special-issue.41-48
- By:
- Publication type:
- Article