Halkjaer Olesen, Merete
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4

Classification of Viable and Non-Viable Spinach (Spinacia O..:

Olesen, Merete Halkjaer ; Shetty, Nisha ; Gislum, Rene.
Journal of Near Infrared Spectroscopy.  19 (2011)  4 - p. 285-286 , 2011
 
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Classification of Viable and Non-Viable Spinach (Spinacia O..:

Olesen, Merete Halkjaer ; Shetty, Nisha ; Gislum, Rene.
Journal of Near Infrared Spectroscopy.  19 (2011)  3 - p. 171-180 , 2011
 
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Optimal Sample Size for Predicting Viability of Cabbage and..:

Shetty, Nisha ; Min, Tai-Gi ; Gislum, René..
Journal of Near Infrared Spectroscopy.  19 (2011)  6 - p. 451-461 , 2011
 
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The Use of Image-Spectroscopy Technology as a Diagnostic Me..:

Vrešak, Martina ; Halkjaer Olesen, Merete ; Gislum, René..
Vrešak , M , Halkjaer Olesen , M , Gislum , R , Bavec , F & Ravn Jørgensen , J 2016 , ' The Use of Image-Spectroscopy Technology as a Diagnostic Method for Seed Health Testing and Variety Identification ' , PLOS ONE , vol. 11 , no. 3 , pp. e0152011 . https://doi.org/10.1371/journal.pone.0152011.  , 2016
 
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Effect of Verticillium dahliae soil inoculum levels on spin..:

Sapkota, Rumakanta ; Olesen, Merete Halkjær ; Deleuran, Lise Christina..
Sapkota , R , Olesen , M H , Deleuran , L C , Boelt , B & Nicolaisen , M 2016 , ' Effect of Verticillium dahliae soil inoculum levels on spinach seed infection ' , Plant Disease , vol. 100 , no. 8 , pp. 1564-1570 . https://doi.org/10.1094/PDIS-01-16-0058-RE.  , 2016
 
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11

Use of Multispectral Imaging in Varietal Identification of ..:

Shrestha, Santosh ; Deleuran, Lise Christina ; Olesen, Merete Halkjær.
Shrestha , S , Deleuran , L C , Olesen , M H & Gislum , R 2015 , ' Use of Multispectral Imaging in Varietal Identification of Tomato ' , Sensors , vol. 15 , no. 2 , pp. 4496-4512 . https://doi.org/10.3390/s150204496.  , 2015
 
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Viability Prediction of Ricinus cummunis L. Seeds Using Mul..:

Olesen, Merete Halkjær ; Nikneshan, Pejman ; Shrestha, Santosh...
Olesen , M H , Nikneshan , P , Shrestha , S , Tadayyon , A , Deleuran , L C , Boelt , B & Gislum , R 2015 , ' Viability Prediction of Ricinus cummunis L. Seeds Using Multispectral Imaging ' , Sensors , vol. 15 , no. 2 , pp. 4592-4604 . https://doi.org/10.3390/s150204592.  , 2015
 
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