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Competence Network
Collaborative Project
Coordinating institution:
Institute of Crop Science and Resource Conservation
Collaborative Projects
Collaborative Project Barley - plant architecture and stress reactions
Leading institution:
Institute of Crop Science and Resource Conservation
Research projects
- Radar signal processing to determine the biomass of barley ears in the field
- Non-destructive analysis of barley growth
- High throughput screening in plant nurseries
- Automatic detection and genetic analysis of quantitatively inherited characteristics of drought tolerance in barley
- Sensor data - Characteristics - Marker association of the genetic Co/localization of plant stress responses
- Sensor Validation for biotic and abiotic stress in barley breeding
- Differentiation and quantification of leaf diseases on the basis of their spectral signature
- Drought Stress Tolerance in Barley
- Sensor validation under realistic conditions
- Validation of sensors under practical conditions
Collaborative Project Sugarbeet - Plant architecture and stress reactions
Leading institution:
Institute of Crop Science and Plant Breeding
Research projects
- RADAR-sensor system for determination of sugar beet root growth in pot experiments
- Application of non-destructive sensors to the genetic characterisation of the storage root formation in sugar beet
- 3D tomography of sugar beet in natural soil with co-registered MRI/PET
- Phenotyping of the infestation dynamics of leaf pathogens with non-invasive sensors
- Non-invasive sensor technologies for estimating the population of Heterodera schachtii on the leaves of sugar beet
- Assessment and differentiation of abiotic stresses using volatile indicators
Collaborative Project Soil and site characterisation
Leading institution:
Department of Soil Science
Research projects
- Detection of soil heterogeneity in breeding plots and field experiments
- Sensor based detection of patterns of nutrient contents and nutrient availability in soil
- Non-invasive characterization of plant stress at the field scale
- Identifying drought stress in the soil root zone by NMR imaging and relaxometry
Collaborative Project Sensors and methods
Leading institution:
Research Center Juelich
Research projects
- Fluorescence image analysis of leaf compounds
- Non-invasive detection and discrimination of biotic and abiotic stress factors in barley and sugar beet by means of highly-resolved spatial and temporal fluorescence techniques for efficient breeding programmes and crop management
- Non-invasive determination of water and salt content with a portable microwave resonator
- Determination of leaf water status via Terahertz-sensors
- Determination of leaf water status via Sub-Terahertz-sensors
- Using hyperspectral sensors in plant breeding
- Chlorophyll fluorescence sensor optimization and data analysis
- Quantification of upper canopy spatial structure
- Sensor Beta testing under field conditions
- Development of sensor technologies for the analysis of the whole soil-plant system
- PhenoCrops: Integrated sensors for crop research, breeding and agricultural management
Collaborative Project Data management and evaluation
Leading institution:
Institute for Geodesy and Geoinformation
Research projects
- Interpretative 3D plant architecture
- Detection of spatial and temporal patterns
- Analysis of sugar beet form and structure based on 3D ground shots
- Network server and data management
- Definition of crop parameters by using imaging spectrometry in combination with terrestric laserscanning
- AgroClustEr: CROP.SENSe.net - Complex sensor systems for crop research, breeding and crop management - Coordination Project
- Competence networks in the agri-food research: Complex Sensors for crop research, breeding and inventory control: CROP.SENSe.net, Proposal Preparation