  | Carlier, A. (2023). Wheat Yield Assessment Using In-Field Organ-Scale Phenotyping and Deep Learning Methods [Doctoral thesis, ULiège. GxABT - Liège Université. Gembloux Agro-Bio Tech [BE]]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/306283 |
 | Carlier, A., Dandrifosse, S., Dumont, B.* , & Mercatoris, B.*. (2023). To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? Plant Phenomics. doi:10.34133/plantphenomics.0083  Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Carlier, A., Dandrifosse, S., Dumont, B., & Mercatoris, B. (2023). Comparing CNNs and PLSr for estimating wheat organs biophysical variables using proximal sensing. Frontiers in Plant Science, 14, 1204791. doi:10.3389/fpls.2023.1204791 Peer Reviewed verified by ORBi |
Ennadifi, E., Dandrifosse, S., Mokhtari, M. E. A., Carlier, A., Laraba, S., Mercatoris, B., & Gosselin, B. (2022). Local Unsupervised Wheat Head Segmentation. In S. Nedevschi (Ed.), Proceedings - 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing Conference, ICCP 2022. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICCP56966.2022.10053964 Peer reviewed |
  | Dandrifosse, S.* , Ennadifi, E.* , Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (07 July 2022). Deep learning for wheat ear segmentation and ear density measurement: From heading to maturity. Computers and Electronics in Agriculture, 199, 107161. doi:10.1016/j.compag.2022.107161 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Dandrifosse, S., Ennadifi Elias, Carlier, A., Gosselin Bernard, Dumont, B., & Mercatoris, B. (28 June 2022). Effect of the sun on the measurement of wheat ear density by deep learning [Paper presentation]. 15th International Conference on Precision Agriculture. |
 | Dandrifosse, S., Carlier, A., Dumont, B., & Mercatoris, B. (27 April 2022). In-Field Wheat Reflectance: How to Reach the Organ Scale? Sensors, 22 (9), 3342. doi:10.3390/s22093342 Peer Reviewed verified by ORBi |
 | Carlier, A., Dandrifosse, S., Dumont, B., & Mercatoris, B. (2022). Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification. Plant Phenomics. doi:10.34133/2022/9841985 Peer Reviewed verified by ORBi |
 | Carlier, A., Dandrifosse, S., Dumont, B., & Mercatoris, B. (2022). Organ scale nitrogen map: a novel approach for leaf nitrogen concentration estimation [Paper presentation]. ICPA 2022. Editorial reviewed |
 | Dandrifosse, S., Carlier, A., Dumont, B., & Mercatoris, B. (2021). Registration and fusion of close-range multimodal wheat images in field conditions. Remote Sensing. doi:10.3390/rs13071380 Peer Reviewed verified by ORBi |
 | David, E., Serouart, M., Smith, D., Madec, S., Velumani, K., Liu, S., Wang, X., Pinto, F., Shafiee, S., Tahir, I. S. A., Tsujimoto, H., Nasuda, S., Zheng, B., Kirchgessner, N., Aasen, H., Hund, A., Sadhegi-Tehran, P., Nagasawa, K., Ishikawa, G., ... Guo, W. (2021). Global Wheat Head Detection 2021: an improved dataset for benchmarking wheat head detection methods. Plant Phenomics, 2021. doi:10.34133/2021/9846158 Peer Reviewed verified by ORBi |
Carlier, A., Dandrifosse, S., Dumont, B., & Mercatoris, B. (20 October 2020). Proximal sensing for wheat field trials phenotyping [Paper presentation]. Erasmus + KA2 Smart-Farming closing conference. |
Dandrifosse, S., Carlier, A., Dumont, B., & Mercatoris, B. (02 September 2020). Assessment of the impact on wheat yield of the interaction between fertilization and yellow rust through multi-sensors machine vision [Paper presentation]. 16 ième Congrès de la Société Européenne d'Agronomie (ESA2020). |
Carlier, A., Dandrifosse, S., Dumont, B., & Mercatoris, B. (September 2020). WHEAT NITROGEN AND SENESCENCE DYNAMICS IN FIELD ASSESSMENT THROUGH TWO PHENOTYPING APPROACHES LATE IN SEASON [Paper presentation]. XVI European Society for Agronomy Congress. |
Carlier, A., Dandrifosse, S., Bouvry, A., Bustillo Vazquez, E., Dumont, B., & Mercatoris, B. (2020). Le phénotypage numérique en champs : un outil de caractérisation des cultures. Livre Blanc Céréales. |
Dandrifosse, S., Carlier, A., Bustillo Vazquez, E., Bouvry, A., Leemans, V., Dumont, B., & Mercatoris, B. (31 January 2020). Added value of plant height and multi-temporal modelling to improve the estimation of wheat above-ground traits based on proxy-sensing RGB cameras [Paper presentation]. 25th National Symposium for Applied Biological Sciences (NSABS 2020). |
Carlier, A., Dandrifosse, S., & Mercatoris, B. (2020). PhenWheat: A field phenotyping platform for wheat trials [Paper presentation]. 25th National Symposium for Applied Biological Sciences. |
  | Bebronne, R., Carlier, A., Meurs, R., Leemans, V., Vermeulen, P., Dumont, B., & Mercatoris, B. (2020). In-field proximal sensing of septoria tritici blotch, stripe rust and brown rust in winter wheat by means of reflectance and textural features from multispectral imagery. Biosystems Engineering, 197, 257-269. doi:10.1016/j.biosystemseng.2020.06.011 Peer Reviewed verified by ORBi |
