[Defended thesis] Mathilde Chen
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[Defended thesis] Mathilde Chen

[Defended thesis] Mathilde Chen: Analysis of disease risk on wheat and vine by combining regional databases and local information during the season

Mathilde Chen defended her PhD on 12 December 2019 @AgroParisTech (Paris).

Analysis of disease risk on wheat and vine by combining regional databases and local information during the season

 

Hello, my name is Mathilde Chen and I'm working on a thesis project at Acta, in partnership with INRA. I'm mostly based at the UMR Agronomie of INRA Versailles-Grignon, but I also work with a number of technical institutes such as the Institut Français de la Vigne et du Vin and ARVALIS - Institut du Végétal.
I'm a graduate of Institut Polytechnique LaSalle Beauvais, an agricultural engineering school. I specialized in Agroecology, Soils, Waters and Territories during my last 2 years of study.
My first assignment at INRA was for a data analysis internship where I studied the effect of landscape on field crop diseases using statistical analysis. I then had the opportunity to apply for a PhD in data analysis, supervised by David Makowski of INRA and François Brun of Acta.

  • Starting date: January 2017
  • University: Paris Saclay
  • PhD school: ABIES
  • Scientific field:  Agronomy, statistics analysis
  • Thesis management: David Makowski (INRA)
  • Thesis supervisors: François Brun (Acta)
  • Funding: Acta - Les instituts techniques
  • Research project: Smart Pic
  • #DigitAg : Labeled PhD – Challenge 3

Keywords:  Statistical models, plant pathology, grapevine, regional database, expertise, machine learning, plant protection, grapevine downy mildew

Abstract: The objective of drastically reducing the use of phytosanitary products has just been reaffirmed (ECOPHYTO V2). This thesis aims at improving the tools used in the analysis of disease risk in agricultural plots by using different sources of information: regional information from the BSV, epidemiological models simulating the disease dynamics, and information derived directly from farmers' observations and expertise. The combination of different sources of information to analyze the risks of occurrence of crop diseases raises real practical and methodological questions: What local information could be mobilized by farmers in real time at a lower cost, depending on crops and diseases ? What is the level of uncertainty associated with this information? How can this information be combined with, on the one hand, the regional observation data provided by the BSV and, on the other, the epidemiological models developed by the technical institutes to predict the evolution of diseases? How to communicate results to farmers and advisors? The objective of the thesis is to answer these questions by working on two cultures presenting important issues for the reduction of pesticides: the cultivation of common wheat at the national level and the vineyard of the Atlantic facade. The ambition is to develop an operational procedure allowing to estimate in real time the evolution of the diseases of these crops.

Contact :  francois.brun [AT] acta.asso.fr

Social networks: ResearchGate – LinkedIn

Communications & Papers

Magazine articles

M. Chen, F. Brun, M. Raynal, C. Debord, D. Makowski, (2019). Use of probabilistic expert elicitation for assessing risk of appearance of grape downy mildew. Crop Protection, 126.  –  https://doi.org/10.1016/j.cropro.2019.104926

Chen, M., Brun, F., Raynal, M. & Makowski, D., 2018. Timing of grape downy mildew onset in Bordeaux vineyards. Phytopathology. 2018 Oct 30. https://doi.org/10.1094/PHYTO-12-17-0412-R

Chen M.a,Brun F.b,Raynal M.c,Makowski D. (2020) Forecasting severe grape downy mildew attacks using machine learning, PLoS ONE https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0230254 

Chen M., Brun F., Raynal M., Makowski D. (2020) Delaying the first grapevine fungicide application reduces exposure on operators by half, Scientific Reports

Acts of conference

Chen, M., Brun, F., Raynal, M. & Makowski, D., 2018. Estimer la date d’apparition du mildiou de la vigne grâce à l’élicitation probabiliste d’experts. Végéphyl – 12ème Conférence Internationale sur les Maladies des plantes. Tours, le 11 et 12 décembre 2018.

Brun, François, & Chen, Mathilde, Michel, Lucie, Veslot, Jacques, Makowski, David & al. (2017). Valorisation des données agricoles d’épidémio-surveillance. Création d’outils pour les acteurs régionaux du Bulletin de santé du végétal. VigiCultures, Réfléxions collectives à son évolution, 22 juin 2017, Paris, Acta-INRA – DOI : https://doi.org/10.13140/rg.2.2.36295.60320

Brun, François, Chen, Mathilde, Van de Kerckhove, Simon & al, et. (2017). Epi Agro – Visualiser la santé du blé. Phttps://doi.org/10.13140/rg.2.2.36295.60320résentation du prototype. Pitch au Hackathon Api Agro – SIMA 2017, Paris, DOI :  https://doi.org/10.13140/RG.2.2.28326.42568

Brun, François, Michel, Lucie, Veslot, Jacques, Chen, Mathilde, Makowski, David & al. (2017). Real-time analysis and prediction tools based on data for regional plant health monitoring: application on wheat and wine in France. EFITA 2017, Montpellier (France), July 2nd-6th (European conference dedicated to the future use of ICT in the agri-food sector, bioresource and biomass sector,

Télécharger son mémoire : Mathilde Chen. Analyse du risque de mildiou de la vigne dans le Bordelais à partir de données
régionales et d’informations locales collectées en cours de saison. Agronomie. Université Paris-Saclay,
2019. Français. ffNNT : 2019SACLA031ff. fftel-02457148

Modification date: 12 October 2023 | Publication date: 23 August 2022 | By: ZM