Data Visualization and Decision Support for Sensor Based Crop Management

Yongni Shao, Li Tan, Qin Zhang

Summary: A prototype of a data visualization and decision support tool has been developed with the following features and capabilities:

  • Built based on an open-source data mining tool. It has an open architecture design with which users can add their own visualization/data processing lug-ins.
  • Supports 2-D visualization for geo-spatial data collected in the field. The 2-D images can be overlaid with Google earth. We have implemented this idea with the PAR data provided by UC Davis.
  • Supports 3-D visualization for geo-spatial data collected in the field. The visualization is done through OpenGL, and users can perform on-the-fly rotations and zoom the 3-D image.
  • Imports data in user-defined formats. We drafted a meta-data definition standard in XMI and sent out to other teams for discussion.
  • Identify the position of tree using the young trees with simple geometry.

 

Data Visualization and Decision Support for Sensor Based Crop Management1

 Equipment for PAR data collection

Data Visualization and Decision Support for Sensor Based Crop Management2

 Data visualization based on the GIS