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References


After a bachelor in agronomy and a master in communication and information technologies for agriculture, I realised a PhD with a private company in Precision Agriculture (with the #Digitag label). After several experiences in public structures (CITRA [Chile], Landcare Research [New-Zealand], Montpellier SupAgro, Irstea [France]) and private companies (Telespazio, SMAG) on the processing and analysis of spatial agriculture data, I decided to create my company to help the actors involved in digital agriculture to make value of their agronomical data.

My academic background and my profesional experiences enabled me to :

  • Develop pluri-disciplinary skills in agronomy, geomatics, informatics, and statistics
  • To work on multiple methods and approaches of interest to process agricultural data: outlier detection, zoning, evaluation of within-field variability, smart sampling, data harmonisation, data simulation, sensitivity analyses, mapping, variance decomposition….
  • Applied to various types of data : from embedded sensors (within-field yield data, apparent soil electrical conductivity), flying platforms (vigor), or hand-held sensors,
  • And considering operational constraints: automation, robustness, non-parametric methods, incorporation of the farmer’s expertise

 

For interested readers, my PhD dissertation is available on the ResearchGate research network. I have worked on the exploitation and valorization of spatialized information in Precision Agriculture, and more particularly on within-field yield data.

 

Publications in international peer-reviewed journals

  • 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, 645-656. 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. Available in PhD dissertation
  • 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

 

Publications in international conferences

  • 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