![]() | Douh, C., Doucet, J.-L., Tosso, D.-N. F., Daïnou, K., Gorel, A., Deryck, A., & Fernandez Pierna, J. A. (23 October 2024). Exploration du potentiel de l’imagerie hyperspectrale proche infrarouge et de la chimiométrie pour discriminer la banque de graines du sol de deux espèces de bois d’Afrique centrale : Erythrophleum suaveolens (Guill. & Perr.) Brenan et Erythrophleum ivorense A. Chev. Bois et Forêts des Tropiques, 360, 1 - 10. doi:10.19182/bft2024.360.a37138 Peer reviewed |
![]() | Grelet, C., Dardenne, P., Soyeurt, H., Fernandez Pierna, J. A., Vanlierde, A., Stevens, F., Gengler, N., & Dehareng, F. (February 2021). Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions. Methods, 186, 97-111. doi:10.1016/j.ymeth.2020.07.012 Peer Reviewed verified by ORBi |
![]() | Grelet, C., Froidmont, É., Foldager, L., Salavati, M., Hostens, M., Ferris, C. P. W., Ingvartsen, K. L., Crowe, M. A., Sorensen, M. T., Fernandez Pierna, J. A., Vanlierde, A., Gengler, N., Dehareng, F., & GplusE Consortium (Other coll.). (May 2020). Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation. Journal of Dairy Science, 103 (5), 4435-4445. doi:10.3168/jds.2019-17910 Peer Reviewed verified by ORBi |
![]() | Fernandez Pierna, J. A., Vermeulen, P., Eylenbosch, D., Burger, J., Bodson, B., Dardenne, P., & Baeten, V. (2020). Chemometrics in NIR Hyperspectral Imaging: Theory and Applications in the Agricultural Crops and Products Sector. In S. Brown, R. Tauler, ... B. Walczak, Comprehensive Chemometrics Chemical and Biochemical Data Analysis (2ème éd, pp. 361-379). Elsevier. Peer reviewed |
![]() | Grelet, C., Dardenne, P., Soyeurt, H., Vanlierde, A., Fernandez Pierna, J. A., Gengler, N., & Dehareng, F. (2019). New phenotypes from milk MIR spectra: challenges to obtain reliable predictions. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Ghent 2019, pp. 605). Wageningen, Netherlands: Wageningen Academic Publishers. Peer reviewed |
![]() | Eylenbosch, D., Baeten, V., Bodson, B., & Fernandez Pierna, J. A. (May 2019). Perspectives offertes par l'imagerie hyperspectrale proche infrarouge dans l'étude de systèmes racinaires de légumineuses. Innovations Agronomiques, 74. doi:10.15454/yaf8pl Peer Reviewed verified by ORBi |
![]() | Eylenbosch, D., Baeten, V., Delaplace, P., Dumont, B., Fernandez Pierna, J. A., & Bodson, B. (2018). Mesure de la concentration et de la distribution de la leghémoglobine au sein de nodosités de pois protéagineux par imagerie hyperspectrale proche infrarouge. In M.-B. Magrini (Ed.), Rencontres Francophones Légumineuses #2 - Livre des Résumés (pp. 76). |
![]() | Colinet, F., Fernandez Pierna, J. A., Dehareng, J., Bertozzi, C., Veselko, D., Sindic, M., Tielemenans, M., & Gengler, N. (2016). Potential use of MIR spectroscopy to assess the origin of milk produced in a PDO area. In Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science (Belfast 2016, pp. 291). Wageningen, Netherlands: Wageningen Academic Publishers. Peer reviewed |