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פותח על ידי קלירמאש פתרונות בע"מ -
Detection of Pits in Olives Under Motion by Nuclear Magnetic Resonance
Year:
1999
Authors :
ציון, בועז
;
.
Volume :
Co-Authors:

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

Facilitators :
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Total pages:
1
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Abstract:

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. 

Note:
Related Files :
Motion
nuclear magnetic resonance
olive
Pits
עוד תגיות
תוכן קשור
More details
DOI :
10.1002/(SICI)1097-0010(199712)75:4<496::AID-JSFA906>3.0.CO;2-Y
Article number:
0
Affiliations:
Database:
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
49932
Last updated date:
02/03/2022 17:27
Creation date:
13/09/2020 17:34
Scientific Publication
Detection of Pits in Olives Under Motion by Nuclear Magnetic Resonance

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

Detection of Pits in Olives Under Motion by Nuclear Magnetic Resonance

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. 

Scientific Publication
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