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    • GA1 Radar signal processing to determine the biomass of barley ears in the field
    • GA2 Non-destructive analysis of barley growth
    • GA3 High throughput screening in plant nurseries
    • GS1 Automatic and genetic analysis of quantitative inherited traits for drought tolerance in spring barley
    • GS2 Sensor data - Characteristics - Marker association of the genetic Co/localization of plant stress responses
    • GS3 Sensor Validation for biotic and abiotic stress in barley breeding
    • GS4 Use of spectral signatures for the differentiation and quantification of leaf diseases
    • GS5 Drought stress tolerance in Barley
    • GS6 Sensor validation under realistic conditions
    • ZA1 RADAR-sensor system for determination of sugar beet root growth in pot experiments
    • ZA2 Genetic characterization of storage root formation in sugar beet by applying non destructive sensing technology
    • ZA3 3D imaging of sugar beet in natural soils using MRI-PET
    • ZS1 Phenotyping of the infestation dynamics of leaf pathogens with non-invasive sensors
    • ZS2 Non-invasive sensor technologies for estimating the population of Heterodera schachtii on the leaves of sugar beet
    • ZS3 Assessment and differentiation of abiotic stresses using volatile indicators
    • ZS4 Development of a measurement system for the determination and quantification of VOC emissions from plants
    • B1 Detection of soil heterogeneity in breeding plots and field experiments
    • B2 Sensor based detection of patterns of nutrient contents and nutrient availability in soil
    • B3 Non-invasive characterization of plant stress at the field scale
    • B4 Identifying drought stress in the soil root zone by NMR imaging and relaxometry
    • S1 Fluorescence image analysis of leaf compounds
    • S2 Non-invasive detection and discrimination of biotic and abiotic stress factors in barley and sugar beet using fluorescence techniques
    • S3 Non-invasive determination of water and salt content with a portable microwave resonator
    • S4 Determination of leaf water status via Terahertz-sensors
    • S5 Determination of leaf water status via Sub-Terahertz sensors
    • S8 Chlorophyll fluorescence sensor optimization and data analysis
    • S9 Quantification of upper canopy spatial structure
    • D1 Information system for Phenotyping experiments
    • D2 Interpretative 3D plant architecture
    • D3 Detection of spatial and temporal patterns
    • D4 4D structural analysis of the sugar beet geometry
    • D5 Network server and data management
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