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Objectives
  • To develop methodology for distinguishing among varieties/ germplasm of rice, Indian mustard, chickpea and okra using visible imaging
  • To optimize imaging and image processing parameters under visible spectral domain
Name(s) of the Cooperating Institution(s)
  • Indian Agricultural Research Institute, New Delhi
  • National Bureau of Plant Genetics Resources, New Delhi
  • Centre for Development of Advanced Computing, Kolkata
Expected output of the project
  • Machine vision hardware and software systems for identification of plant varieties at different degree of precision.
  • A database of digital signatures of different plant parts of different varieties of rice, mustard, chickpea and okra.

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