01456naa a2200229 a 450000100080000000500110000800800410001910000190006024500740007926000090015330000150016252006890017765300200086665300410088665300280092765300320095565300420098765300440102970000160107370000170108977301200110610047612010-03-25       1994    bl uuuu     u00u1 u    #d1 aBALABAN, M. O.  aCount and uniformity ratio determination of shrimp by machine vision.  c1994  ap. 99-104.  aCurrent evaluation of shrimp quality is a sum of visual, smell and texture attributes, and the manual determination of count and uniformity ratio of a batch. The automation and computerization of this process is desirable for a more rapid, objective and repeatable ealuation. As a first step towards this goal, the count and uniformity ratio of whole, headless, peeled-tail-on, and peeled-tail-off tiger and white shrimp were evaluated. The weight and view area were correlated by three different equations (linear, power, and forced-power curves) to find the best correlation. The lightness values were also measured. Data equations and statistics for the correlations are presented.  aAgroinformatics  aComputadores aplicados a agricultura  aComputer in agriculture  aInformatica na agropecuaria  aInformation technology in agriculture  aTecnologia de informacao na agricultura1 aYERALAN, S.1 aBERGMANN, Y.  tIn: INTERNATIONAL CONFERENCE, 5., 1994, Orlando. Computers in agriculture: proceedings. St. Joseph, MI: ASAE, 1994.