Scientific publications
1002 Results
- Godin, B. , Werrie, P-Y. , Chandelier, A. , Pissard, A. , Jacquemin, G. , Van der Verren, B. , Nysten, A. , Meza, R. & Eylenbosch, D. (2023). V. Qualité technologique et sanitaire des froments d’hiver de la récolte 2023. Livre Blanc Céréales, Edition Septembre 2023:
- Matenda, R. , Rip, D. , Fernández Pierna, J.A. , Baeten, V. & Williams, P.J. (2023). Differentiation of Listeria monocytogenes serotypes using near infrared hyperspectral imaging. Poster in: NIR 2023 : 21st International Conference On Near Infrared Spectroscopy, Congress Innsbruck, Austria, August 20-24, 2023.
- Anselmo, A. , Veys, P. , Fernández Pierna, J.A. , Gofflot, S. , Pissard, A. & Baeten, V. (2023). Insect meal in feed : use of Near-Infrared Spectroscopy (NIRS) techniques to support the detection of authorized and unauthorized insect species. Proceedings in: 8th International Feed Conference Present and Future Challenges (FEED 2023), Milan, Italy, October 9-10,
- Leclère,L. , Curnel, Y. , Vermeulen, P. , Stevens, F. , Scaut, B. , Malice, D. , Troiani, M. , Defourny, P. , Baeten, V. & Planchon, V. (2023). Development of crop applications based on hyperspectral satellite imagery. - SPAGHYTI. Proceedings in: AGreenSmart, Gembloux,
- Marien, A. , Fumière, O. , Maljean, J. & Berben, G. (2023). Evaluation of the PCR method for the detection of poultry DNA.CRA-W, 1-32.
- Fernández Pierna, J.A. , Stevens, F. , Vincke, D. , Demoitié, C. , Vermeulen, P. , Kayoka, N. & Baeten, V. (2023). Perspectives offered by Near Infrared Hyperspectral Imaging to Agro-Food Analysis. Proceedings in: 2nd International Workshop on Hyperspectral Imaging – Unicamp, Campinas (Brasil), 29 March 2023,
- Veys, P. & Fumière, O. (2023). 2023 IAG proficiency test on animal proteins in feed.1-20.
- Vermeulen, P. , Cadot, V. , Terzi, V. & Treier, S. (2022). Sélection variétale : les nouveaux outils du phénotypage Phytoma 751,
- Lesnoff, M. , Andueza, D. , Barotin, C. , Barre, P. , Bonnal, L. , Fernández Pierna, J.A. , Picard, F. , Vermeulen, P. & Roger, J.M. (2022). Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data. Applied sciences, 12: (7850),