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To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

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For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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GEE Christelle

GEE Christelle
Director / Teacher
Department : ECOLDUR
Team : Agroequipments
Email :
Phone number :
Fax :


Entre 2007-2012 :
  • Villette S.,  Piron E., Miclet D., Martin R.,  Jones G., Paoli J.N.,  Gée C., 2012 How mass flow and rotational speed affect fertiliser centrifugal spreading: Potential interpretation in terms of the amount of fertiliser per vane, Biosystem Engineering Journal, Vol. 111(1), January 2012, Pages 133–138
  • Villette S., E. Piron, R. Martin, D. Miclet, M. Boilletot, Ch. Gée, 2010-Measurement of an equivalent friction coefficient to characterise the behaviour of fertilisers in the context of centrifugal spreading. Precision Agriculture Vol. 11, N°6 p. 664-683, 2010. IF: 1,3
  • Jones G., Gée Ch.,Villette S., Truchetet F., 2010. Validation of a crop field modeling to simulate agronomic images. Optics Express, Vol 18(10), p. 10694-10703. doi:10.1364/OE.18.010694.- IMPACT FACTOR = 3.88
  • Jones G., Gée Ch., Truchetet F., 2009. Assessment of an inter-row Weed Infestation Rate on simulated agronomic images by image processing .Computers and Electronics in Agriculture , Vol 67 p.43-50
  • Bossu J., Gée Ch., Jones G., Truchetet F., 2009. Wavelet transform to discriminate between crop and weed in perspective agronomic images. Computers and Electronics in Agriculture Vol 65(1) p.133-143
  • Jones G., Gée Ch., Truchetet F., 2009. Modelling agronomic images for weed detection. Application to the comparison of crop/weed discrimination algorithm performances. Precision Agriculture Journal Vol 10 (1) p.1-15.
  • Bossu J., Gée Ch., Truchetet F., 2007. Development of a machine vision system for a real time precision sprayer. Electronic Letters on Computer Vision and Image Analysis Vol 7(3):54-66