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Sensor Platform and UAV for multiple, simultaneous measurements in Precision Farming field trials
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Sensor Platform and UAV for multiple, simultaneous measurements in Precision Farming field trials

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Sensor Platform and UAV for multiple, simultaneous measurements in Precision Farming field trials - Christoph Zecha - Hohenheim University

Sensor Platform and UAV for multiple, simultaneous measurements in Precision Farming field trials - Christoph Zecha - Hohenheim University

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Sensor Platform and UAV for multiple, simultaneous measurements in Precision Farming field trials Sensor Platform and UAV for multiple, simultaneous measurements in Precision Farming field trials Presentation Transcript

  • Sensor platform and UAV Christoph Zecha, Sensor platform and UAV Martin Weis1. Aims2. Methods and Multiple, simultaneous measurements indata Precision Farming field trials2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase Christoph Zecha 1 Martin Weis 23.1 Interfaces3.2 Geo-databasestructure3.3 User SenGIS  Competence Centre for Sensors and Geoinformation Systems4. Conclusion November 25, 2010 1 Institute of Crop Science (340), University of Hohenheim 2 Institute of Weed Science (360b), University of Hohenheim
  • Content Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims 1 Aims2. Methods and Methods and datadata2.1 Sensor platform2.2 UAV 22.3 Data fusion2.4 Map data Geodatabase3. Geodatabase3.1 Interfaces3.2 Geo-database 3structure3.3 User Conclusion4. Conclusion 4
  • 1. Aims Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims Main aims of the SenGIS project:2. Methods anddata Provide geodata infrastructure components for2.1 Sensor platform2.2 UAV2.3 Data fusion Precision Farming2.4 Map data Simultaneous eld measurement methods3. Geodatabase3.1 Interfaces3.2 Geo-database Long term data storagestructure3.3 User Research collaboration and partnerships4. Conclusion
  • 2. Methods and data Sensor platform and UAV Christoph Zecha, Martin Weis Acquire data Measure in-eld1. Aims2. Methods and Knowledge about sensors and data preprocessingdata2.1 Sensor platform2.2 UAV2.3 Data fusion Data handling2.4 Map data Denition of data ow3. Geodatabase3.1 Interfaces3.2 Geo-database Handle data between diverse users/systemsstructure3.3 User4. Conclusion Application knowledge What can the measurements be used for? Algorithms, expert systems and modeling
  • 2. Methods and data Sensor platform and UAV Aerial and ground-based sensor data acquisition Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 2.1 Sensor platform Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion Sensicle with some sensors: Multiplex (440nm − 750nm) FieldSpec HandHeld (325nm − 1075nm) Luxmeter IR - Red Camera
  • 2.1 Sensor platform  Sensors Sensor platform and UAV Christoph Zecha, Martin Weis Optical1. Aims Cameras (Bi-/Multispectral, RGB, Infrared)2. Methods anddata Spectrometer (FieldSpec, Handyspec, Yara N-Sensor)2.1 Sensor platform2.2 UAV Fluorescence (Multiplex, MiniVeg)2.3 Data fusion2.4 Map data Luminance meter3. Geodatabase3.1 Interfaces Digital camera3.2 Geo-databasestructure3.3 User4. Conclusion
  • 2.1 Sensor platform  Sensors Sensor platform and UAV Christoph Zecha, Martin Weis Optical1. Aims Cameras (Bi-/Multispectral, RGB, Infrared)2. Methods anddata Spectrometer (FieldSpec, Handyspec, Yara N-Sensor)2.1 Sensor platform2.2 UAV Fluorescence (Multiplex, MiniVeg)2.3 Data fusion2.4 Map data Luminance meter3. Geodatabase3.1 Interfaces Digital camera3.2 Geo-databasestructure3.3 User4. Conclusion Mechanical, electromagnetic,. . . Soil sensor (harrow project) EM38
  • 2.2 UAV  SENGIS Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion Type: Power glider small, < 5 kg Measuring equipment: camera, spectrometer Auto pilot Micropilot, uplink Logging unit: PDA
  • 2.2 UAV  University of Stuttgart Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion Stuttgarter Adler: Power glider (4 m wing span) Higher load capacity Measuring equipment: cameras, spectrometer Auto pilot Micropilot, uplink
  • 2.3 Data fusion Sensor platform and UAV Easy data Christoph Zecha, Martin Weis comparison1. Aims Yield: NH yield2. Methods and sensordata2.1 Sensor platform NDVI: Yara2.2 UAV2.3 Data fusion N-Sensor2.4 Map data3. Geodatabase EM383.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion Research site Lammwirt (University of Hohenheim)
  • 2.4 Map data I Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 2.4 Map data II Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 2.4 Map data III Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 2.4 Map data IV Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 2.4 Map data V Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 3. Geodatabase Sensor platform and UAV http://geoserver.phytomed.uni-hohenheim.de/ Christoph Zecha, Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 3.1 Interfaces Sensor platform and UAV Christoph Zecha, Martin Weis Interfaces  OGC standards1. Aims WMS Web Map Service, delivery of2. Methods anddata rendered maps2.1 Sensor platform2.2 UAV2.3 Data fusion WFS(-T) Web Feature Service,2.4 Map data transactional3. Geodatabase3.1 Interfaces ISO 19115 Standard for Geospatial3.2 Geo-databasestructure metadata3.3 User4. Conclusion SQL Structured Query Language WPS Web Processing Service, server based GIS functionality
  • 3.2 Geo-database Structure Sensor platform and UAV Christoph Zecha, Martin Weis Technology:1. Aims Virtual Server, IT Hohenheim2. Methods anddata2.1 Sensor platform Ubuntu operating system2.2 UAV2.3 Data fusion2.4 Map data Applications:3. Geodatabase3.1 Interfaces Analysis3.2 Geo-databasestructure3.3 User Statistics4. Conclusion Visualization Modeling
  • 3.3 Users Sensor platform and UAV University of Hohenheim Christoph Zecha, Institutes Martin Weis Research stations1. Aims2. Methods and Students, Phd students, Scientic stadata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion
  • 3.3 Users Sensor platform and UAV University of Hohenheim Christoph Zecha, Institutes Martin Weis Research stations1. Aims2. Methods and Students, Phd students, Scientic stadata2.1 Sensor platform2.2 UAV External partners2.3 Data fusion2.4 Map data Researchers at other universities3. Geodatabase3.1 Interfaces Industry (Transfer of Know-How, Sensor development)3.2 Geo-databasestructure3.3 User Governmental departments4. Conclusion
  • 3.3 Users Sensor platform and UAV University of Hohenheim Christoph Zecha, Institutes Martin Weis Research stations1. Aims2. Methods and Students, Phd students, Scientic stadata2.1 Sensor platform2.2 UAV External partners2.3 Data fusion2.4 Map data Researchers at other universities3. Geodatabase3.1 Interfaces Industry (Transfer of Know-How, Sensor development)3.2 Geo-databasestructure3.3 User Governmental departments4. Conclusion SenGIS integrates its partners . . . and provides Structural and Technical components
  • 4. Conclusion Sensor platform and UAV Christoph Zecha, Martin Weis1. Aims2. Methods and Sensor platform for simultaneous sensor measurementsdata2.1 Sensor platform2.2 UAV UAVs good for larger research sites2.3 Data fusion2.4 Map data Correlation: aerial vs. ground-based results?3. Geodatabase3.1 Interfaces Geoserver for easy access and exchange of data3.2 Geo-databasestructure3.3 User Standardised data formats for data handling4. Conclusion
  • Sensor platform and UAV Christoph Zecha, Thank you for your attention. Martin Weis1. Aims2. Methods anddata2.1 Sensor platform2.2 UAV2.3 Data fusion2.4 Map data3. Geodatabase3.1 Interfaces3.2 Geo-databasestructure3.3 User4. Conclusion Our homepage: http://sengis.uni-hohenheim.de/