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Detection of pits in olives under motion by nuclear magnetic resonance
Author(s) -
Zion B,
Kim S M,
McCarthy M J,
Chen P
Publication year - 1997
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/(sici)1097-0010(199712)75:4<496::aid-jsfa906>3.0.co;2-y
Subject(s) - electromagnetic coil , nuclear magnetic resonance , sorting , magnet , conveyor belt , physics , materials science , mathematics , mechanical engineering , engineering , algorithm , quantum mechanics
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. ©1997 SCI