Development Of An Automated System For Monitoring Redscale Population Using Image Analysis, Wireless Networks And Gis Technologies

Summary:

The aim of the “RedScale ID” research program is to develop an automated, energy-independent trap for continuous monitoring / identification of the RedScale population and in addition to record other relevant parameters related to the population. Such kind of parameter is temperature which is related to day-degrees growth calculation for estimating RedScale population. For this purpose satellite image data were used in order to estimate LST and then to correlate with air temperature. The use of satellite data has many advantages against traditional techniques such as local meteorological stations places in agricultural areas, since they can provide a synoptic coverage on a systematic daily basis.

Consortium:

  • CYPROFRESH
  • CNE TECHNOLOGY CENTER
  • CYPRUS UNIVERSITY OF TECHNOLOGY (Partner, Contact Person: D.G.Hadjimitsis)
  • AGRICULTURAL RESEARCH INSTITUTE


Website: www.redscaletrap.com