S M Kim - Department of Biological and Agricultural Engineering, University of California, Davis, California, USA.
M J McCarthy - Department of Biological and Agricultural Engineering, University of California, Davis, California, USA
P Chen - Department of Biological and Agricultural Engineering, University of California, Davis, California, USA
One‐dimensional magnetic resonance projections of pickled olives were acquired while they were travelling on a conveyor belt which passed through a 2‐tesla NMR magnet and a 150‐mm imaging coil. The projections were used to distinguish between pitted and non‐pitted olives. The effect of fruit position in the coil was tested and coil end effects were noticed when projections were generated under dynamic conditions. Sorting of 300 pitted and non‐pitted olives at various belt speeds was tested. Classification errors (pitted olives classified as non‐pitted and vice versa) were 4·3, 4·7, 2·3 and 4·0% at 0, 5, 15 and 25 cm s−1 belt speeds, respectively.
S M Kim - Department of Biological and Agricultural Engineering, University of California, Davis, California, USA.
M J McCarthy - Department of Biological and Agricultural Engineering, University of California, Davis, California, USA
P Chen - Department of Biological and Agricultural Engineering, University of California, Davis, California, USA
One‐dimensional magnetic resonance projections of pickled olives were acquired while they were travelling on a conveyor belt which passed through a 2‐tesla NMR magnet and a 150‐mm imaging coil. The projections were used to distinguish between pitted and non‐pitted olives. The effect of fruit position in the coil was tested and coil end effects were noticed when projections were generated under dynamic conditions. Sorting of 300 pitted and non‐pitted olives at various belt speeds was tested. Classification errors (pitted olives classified as non‐pitted and vice versa) were 4·3, 4·7, 2·3 and 4·0% at 0, 5, 15 and 25 cm s−1 belt speeds, respectively.