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
Works matching AU Steinhage, Volker
Results: 15
1
2
A semi‐automated camera trap distance sampling approach for population density estimation.
- Published in:
- Remote Sensing in Ecology & Conservation, 2024, v. 10, n. 2, p. 156, doi. 10.1002/rse2.362
- By:
- Publication type:
- Article
3
Action Detection for Wildlife Monitoring with Camera Traps Based on Segmentation with Filtering of Tracklets (SWIFT) and Mask-Guided Action Recognition (MAROON).
- Published in:
- Applied Sciences (2076-3417), 2024, v. 14, n. 2, p. 514, doi. 10.3390/app14020514
- By:
- Publication type:
- Article
4
Evaluation of an automated 3D based phenotyping pipeline for grapevine bunches to determine bunch architecture traits.
- Published in:
- 2017
- By:
- Publication type:
- Abstract
5
Evaluation of an automated 3D based phenotyping pipeline for grapevine bunches to determine bunch architecture traits.
- Published in:
- 2017
- By:
- Publication type:
- Abstract
6
Conditional Feature Selection: Evaluating Model Averaging When Selecting Features with Shapley Values.
- Published in:
- Geomatics (2673-7418), 2024, v. 4, n. 3, p. 286, doi. 10.3390/geomatics4030016
- By:
- Publication type:
- Article
7
Image-Based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
- Published in:
- Systematic Biology, 2022, v. 71, n. 2, p. 320, doi. 10.1093/sysbio/syab048
- By:
- Publication type:
- Article
8
SOCRATES: Introducing Depth in Visual Wildlife Monitoring Using Stereo Vision.
- Published in:
- Sensors (14248220), 2022, v. 22, n. 23, p. 9082, doi. 10.3390/s22239082
- By:
- Publication type:
- Article
9
High-Precision Phenotyping of Grape Bunch Architecture Using Fast 3D Sensor and Automation.
- Published in:
- Sensors (14248220), 2018, v. 18, n. 3, p. 763, doi. 10.3390/s18030763
- By:
- Publication type:
- Article
10
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
11
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
12
Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches.
- Published in:
- Remote Sensing, 2019, v. 11, n. 24, p. 2953, doi. 10.3390/rs11242953
- By:
- Publication type:
- Article
13
Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 5, p. 1604, doi. 10.3390/s24051604
- By:
- Publication type:
- Article
14
The Potential of Diffusion-Based Near-Infrared Image Colorization.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 5, p. 1565, doi. 10.3390/s24051565
- By:
- Publication type:
- Article
15
Leveraging Remote Sensing Data for Yield Prediction with Deep Transfer Learning.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 3, p. 770, doi. 10.3390/s24030770
- By:
- Publication type:
- Article