Publications and communications of Alexis Carlier

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
* 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

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

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
* 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

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

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.

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

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

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).

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

Carlier, A., Dandrifosse, S., & Mercatoris, B. (2020). PhenWheat: A field phenotyping platform for wheat trials [Paper presentation]. 25th National Symposium for Applied Biological Sciences.