Competence Network
CROP.SENSe.net is a network of researchers and stakeholders dedicated to the development and deployment of novel sensor technologies to enable the assessment of the internal and external properties of crop plants. The network will quantify morphological and physiological characteristics of crop varieties using fast measurement non-destructive scanning methods including high throughput Phenomics, determine elucidation of metabolic processes via Deep Phenotyping, and assist improved crop management through Precision farming. CROP.SENSe.net aims to develop, and further improve existing, non- or minimal-invasive sensor techniques for the application, deployment and implementation of sensory methods in crop research, crop breeding and crop management.
Total budget:
Coordinating Institution:
Institute of Crop Science and Resource Conservation (INRES) Details of INRES
Work package leader:
- Institute of Crop Science and Resource Conservation
Details of Institute of Crop Science and Resource Conservation
Collaborative Project Barley - plant architecture and stress reactions - Institute of Crop Science and Plant Breeding
Details of Institute of Crop Science and Plant Breeding
Collaborative Project Sugarbeet - Plant architecture and stress reactions - Department of Soil Science
Details of Department of Soil Science
Collaborative Project Soil and site characterisation - Research Center Juelich
Details of Research Center Juelich
Collaborative Project Sensors and methods - Institute for Geodesy and Geoinformation
Details of Institute for Geodesy and Geoinformation
Collaborative Project Data management and evaluation
Subprojects
Collaborative Project Barley - plant architecture and stress reactions
- Radar signal processing to determine the biomass of barley ears in the field - Detailsof Radar signal processing to determine the biomass of barley ears in the field
- Non-destructive analysis of barley growth - Detailsof Non-destructive analysis of barley growth
- High throughput screening in plant nurseries - Detailsof High throughput screening in plant nurseries
- Automatic detection and genetic analysis of quantitatively inherited characteristics of drought tolerance in barley - Detailsof 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 - Detailsof Sensor data - Characteristics - Marker association of the genetic Co/localization of plant stress responses
- Sensor Validation for biotic and abiotic stress in barley breeding - Detailsof Sensor Validation for biotic and abiotic stress in barley breeding
- Differentiation and quantification of leaf diseases on the basis of their spectral signature - Detailsof Differentiation and quantification of leaf diseases on the basis of their spectral signature
- Drought Stress Tolerance in Barley - Detailsof Drought Stress Tolerance in Barley
- Sensor validation under realistic conditions - Detailsof Sensor validation under realistic conditions
- Validation of sensors under practical conditions - Detailsof Validation of sensors under practical conditions
Collaborative Project Sugarbeet - Plant architecture and stress reactions
- RADAR-sensor system for determination of sugar beet root growth in pot experiments - Detailsof 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 - Detailsof 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 - Detailsof 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 - Detailsof 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 - Detailsof 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 - Detailsof Assessment and differentiation of abiotic stresses using volatile indicators
- Development of a measurement system for the determination and quantification of VOC emissions from plants - Detailsof Development of a measurement system for the determination and quantification of VOC emissions from plants
Collaborative Project Soil and site characterisation
- Detection of soil heterogeneity in breeding plots and field experiments - Detailsof Detection of soil heterogeneity in breeding plots and field experiments
- Sensor based detection of patterns of nutrient contents and nutrient availability in soil - Detailsof Sensor based detection of patterns of nutrient contents and nutrient availability in soil
- Non-invasive characterization of plant stress at the field scale - Detailsof Non-invasive characterization of plant stress at the field scale
- Identifying drought stress in the soil root zone by NMR imaging and relaxometry - Detailsof Identifying drought stress in the soil root zone by NMR imaging and relaxometry
Collaborative Project Sensors and methods
- Fluorescence image analysis of leaf compounds - Detailsof 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 - Detailsof 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 - Detailsof Non-invasive determination of water and salt content with a portable microwave resonator
- Determination of leaf water status via Terahertz-sensors - Detailsof Determination of leaf water status via Terahertz-sensors
- Determination of leaf water status via Sub-Terahertz-sensors - Detailsof Determination of leaf water status via Sub-Terahertz-sensors
- Laser scanning for the determination of plant parameters - Detailsof Laser scanning for the determination of plant parameters
- Using hyperspectral sensors in plant breeding - Detailsof Using hyperspectral sensors in plant breeding
- Chlorophyll fluorescence sensor optimization and data analysis - Detailsof Chlorophyll fluorescence sensor optimization and data analysis
- Quantification of upper canopy spatial structure - Detailsof Quantification of upper canopy spatial structure
- Sensor Beta testing under field conditions - Detailsof Sensor Beta testing under field conditions
- Development of sensor technologies for the analysis of the whole soil-plant system - Detailsof Development of sensor technologies for the analysis of the whole soil-plant system
- PhenoCrops: Integrated sensors for crop research, breeding and agricultural management - Detailsof PhenoCrops: Integrated sensors for crop research, breeding and agricultural management
Collaborative Project Data management and evaluation
- Information system for Phenotyping experiments - Detailsof Information system for Phenotyping experiments
- Interpretative 3D plant architecture - Detailsof Interpretative 3D plant architecture
- Detection of spatial and temporal patterns - Detailsof Detection of spatial and temporal patterns
- Analysis of sugar beet form and structure based on 3D ground shots - Detailsof Analysis of sugar beet form and structure based on 3D ground shots
- Network server and data management - Detailsof Network server and data management
- Definition of crop parameters by using imaging spectrometry in combination with terrestric laserscanning - Detailsof Definition of crop parameters by using imaging spectrometry in combination with terrestric laserscanning