Laboratory responsible

Juan Antonio FERNANDEZ PIERNA
Building Maurice Henseval
Chée de Namur, 24 5030 Gembloux Belgique Tel : +32 81 87 40 09 Fax : +32 81 87 40 19Les articles de Juan Antonio FERNANDEZ PIERNA
Détection de contaminations d'aliments composés par des farines animales et discrimination des farines animales et de poisson par analyse de spectres issus de l'imagerie spectrale proche infrarouge
Fernández Pierna, J.A. , Michotte Renier, A. , Baeten, V. & Dardenne, P. (2003). Détection de contaminations d'aliments composés par des farines animales et discrimination des...
NAPLS: Noise addition PLS
Fernández Pierna, J.A. , Dardenne, P. & Fernández Pierna, J.A. (2005). NAPLS: Noise addition PLS. Poster in: Chimiométrie 2005, Paris, 01-02/12/2005.
Chemometrics for hyperspectral data : application to screening of compound feeds
Fernández Pierna, J.A. , Didelez, G. , Baeten, V. , Michotte Renier, A. , Dardenne, P. & Fernández Pierna, J.A. (2004). Chemometrics for hyperspectral data : application to screening...
The combination of a NIR camera and chemometrics (SVM) for the detection of MBM in compound feed
Fernández Pierna, J.A. , Baeten, V. , Michotte Renier, A. , Cogdill, R. , Dardenne, P. & Fernández Pierna, J.A. (2004). The combination of a NIR camera and chemometrics (SVM) for...
The NIR camera: a new perspective for meat and bone meal detection in feedingstuffs
Michotte Renier, A. , Baeten, V. , Sinnaeve, G. , Dardenne, P. & Fernández Pierna, J.A. (2003). The NIR camera: a new perspective for meat and bone meal detection in feedingstuffs....

Towards a better control of the geographical origin of virgin olive oil in Europe
The supply of virgin olive oil (VOO) of well-defined geographical origin is one of the expectations of European consumers. Currently, no standards for geographical identification have...
EFFORT
Transition to efficient use of forage resources in dairy farming: a case of precision in farm feeding
Imaginglab
Development of analytical solutions based on near-infrared hyperspectral imaging for the agricultural and food sectors


