Pour les lecteurs intéressés, mon mémoire de thèse (en anglais) est disponible sur le réseau de recherche ResearchGate. J’ai travaillé sur l’exploitation et la valorisation d’informations spatialisées en Agriculture de Précision, et plus particulièrement sur les données de rendement intra-parcellaires. Bonne lecture !

• Araya-Alman, A., Acevedo-Opazo, C., Guillaume, S., Valdés-Gomez, H., Verdugo-Vasquez, N., Leroux, C., Pañitrur-De la Fuente, C., Tisseyre, B. (2018). A new spatialised sampling method to improve grape yield estimation of the current season through the use of yield historical data. Precision Agriculture (Under review)

• Devaux, N., Crestey, T., Leroux, C., Tisseyre, B. (2018). Potential of Sentinel-2 satellite images to monitor vine fields grown under Mediterranean conditions. Oeno One, Technical note (Under Review)

• Leroux, C., Jones, H., Clenet, A., & Tisseyre, B. (2017). A new approach for zoning irregularly-spaced, within-field data. Computers and Electronics in Agriculture, 141 (C), 196-206. DOI: https://doi.org/10.1016/j.compag.2017.07.025

• Leroux, C., Jones, H., Clenet, A., Dreux, B., Becu, M., & Tisseyre, B. (2018). A general method to filter out defective spatial observations from yield mapping datasets. Precision Agriculture. DOI :https://doi.org/10.1007/s11119-017-9555-0

• Leroux, C., Jones, H., Taylor, J, Clenet, A., & Tisseyre, B. (2018). A zone-based approach for processing and interpreting variability in multitemporal yield data sets. Computers and Electronics in Agriculture, 148, 299-308. https://doi.org/10.1016/j.compag.2018.03.029

• Leroux, C., Jones, H., Pichon, L., Guillaume, S., Lamour, J., Taylor, J., Naud, O., Crestey, T., Lablée, J-L., & Tisseyre, B. (2018). GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture data. Agriculture, 8, 6. https://doi.org/10.3390/agriculture8060073

• Leroux, C., & Tisseyre, B. (2018). How to measure and report within-field variability – A review of common indicators and their sensitivity. Precision Agriculture. https://doi.org/10.1007/s11119-018-9598-x

• Leroux, C., Jones, H., Clenet, A., & Tisseyre, B. (2018). Knowledge discovery and unsupervised detection of within-field yield defective observations. Computers and Electronics in Agriculture, 156, 645-659. https://doi.org/10.1016/j.compag.2018.12.024

• Leroux, C., Jones, H., Pichon, L., Taylor, J, & Tisseyre, B. (2018). Aspatial and spatial approaches to automatic harmonization of heterogeneous agronomical and environmental spatial datasets. Precision Agriculture (Under review)

• Leroux, C., Jones, H., Clenet, A., & Tisseyre, B. (2018). Evaluation and comparison of several yield filtering approaches using simulated datasets. Disponible dans le mémoire de thèse

• Pichon, L., Leroux, C., & Tisseyre, B. (2019). What relevant information can be identified by experts on unmanned aerial vehicles’ visible images for precision viticulture ? Precision Agriculture, https://doi.org/10.1007/s11119-019-09634-0

• Roudier, P, Hedley, C., Lobsey, C.R., Viscarra-Rossel, R.A., Leroux, C. (2017). Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon. Geoderma, 296 (15), 98-107: https://doi.org/10.1016/j.geoderma.2017.02.014 

• Taylor, J., Tisseyre, B., & Leroux, C. (2018). A simple index to determine if within-field spatial production variation exhibits potential management effects: Application in vineyards using yield monitor data. Precision Agriculture. https://doi.org/10.1007/s11119-018-9620-3

• Tisseyre, B., Leroux, C., Pichon, L., Géraudie, V., Sari, T. (2018). How to define the optimal grid size to map high resolution spatial data? Precision Agriculture. https://doi.org/10.1007/s11119-018-9566-5

• Leroux, C., Vismara, P. (2021). A Constraint Programming approach to optimize the delineation of within-field zones. Submitted to the 13th European Conference on Precision Agriculture (ECPA 2021), Budapest, Hongrie
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• Lamour, J., Leroux, C., Naud, O., & Tisseyre, B. (2019) Disentangling the sources of chlorophyll-content variability in banana leaves: A case-study in an African commercial plantation using an optical chlorophyll meter. Submitted to the 12th European Conference on Precision Agriculture (ECPA 2019), Montpellier SupAgro, Montpellier, France.

• Leroux, C., Jones, H., Clenet, A., Dreux, B., Becu, M., & Tisseyre, B. (2017b). Simulating yield datasets: an opportunity to improve data filtering algorithms. Paper presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017, Advances in Animal Biosciences, 8(2), 600-605. https://doi.org/10.1017/S2040470017000899

• Leroux, C., Taylor, J., & Tisseyre, B. (2019). Production gap analysis – an operational approach to yield gap analysis using historical high-resolution yield data sets. Submitted to the 12th European Conference on Precision Agriculture (ECPA 2019), Montpellier SupAgro, Montpellier, France.

• Leroux, C., & Jones, H. (2019). An iterative region growing algorithm to generate fuzzy management zones within fields. Submitted to the 12th European Conference on Precision Agriculture (ECPA 2019), Montpellier SupAgro, Montpellier, France

• Tisseyre, B., & Leroux, C. (2017). How significantly different are your within-field zones? Paper presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017, Advances in Animal Biosciences, 8(2), 620-624. https://doi.org/10.1017/S2040470017000012