ORGANISATION/COMPANYUMR Mathématiques, Informatique, STatistique pour l'Environnement et l'Agronomie
RESEARCH FIELDAgricultural sciences › AgronomicsComputer science › Digital systemsMathematics
RESEARCHER PROFILEFirst Stage Researcher (R1)Recognised Researcher (R2)Established Researcher (R3)Leading Researcher (R4)
APPLICATION DEADLINE20/07/2022 00:00 - Europe/Brussels
LOCATIONFrance › Montpellier
TYPE OF CONTRACTTemporary
The Optirrig model is developed at the Reserach Unit G-EAU (Montpellier) for the generation, analysis and optimization of irrigation and fertilization scenarios, for a wide variety of species (cereals, market gardening, grasslands, perennial crops, urban vegetated areas), irrigation techniques (aspersion, surface or underground drip) and uses (conventional or conservation agriculture, agricultural or urban REUSE, agroforestry)
However, Optirrig is not yet able to connect the operational horizon (a few days) and the tactical horizon (the season) and therefore to recommend decisions according to what can be expected in fine, depending on the current soil reserve, the state of development of the crop, the resources already consumed (water, nitrogen) and the weather forecasts available in the short or medium term.
To do this, a simpler mathematical model adapted to this horizon would be relevant, in order to deploy the tools of the optimal control theory that allow to obtain control strategies by feedback on the variables recorded over time (soil moisture, nitrogen conc., plant cover...). Initial work has been carried out in this direction at the Reserach Unit MISTEA (Montpellier) on simplified crop models.
The objective of this thesis project will be to extend these approaches, particularly in the context of adaptive control. The envisaged approach is to rely on a double modeling consisting in developing the simplified mathematical model (an "Optirrig companion model") of lower dimension and on which the targeted methods can provide decisional and also adaptive strategy structures, depending on unknowns over time (notably climatic).
Contact: Alain Rapaport, Sébastien Roux
Boumaza, K., Kalboussi, N., Roux, S., Rapaport, A. and Sinfort, C. (2021). Optimal control of a crop irrigation model under water scarcity. Optimal Control, Applications and Methods. https://hal.inrae.fr/hal-03226630
Cheviron, B., Vervoort, R. W., Albasha, R., Dairon, R., Le Priol, C. and Mailhol, J. C. (2016). A framework to use crop models for multi-objective constrained optimization of irrigation strategies. Environmental Modelling & Software. https://hal.inrae.fr/hal-02604719
Harmand, J. Lobry, C., Rapaport, A. , Sari, T. (2019) Optimal Control in Bioprocesses: Pontryagin's Maximum Principle in Practice. Wiley. https://hal.archives-ouvertes.fr/hal-02045808
Habibi, I., Titah, A. (2021) Optimal control of a crop irrigation model under water scarcity. Optimization and Control. MSC report ENSEEIHT , Toulouse https://hal.inrae.fr/hal-03336769
Funding category: Contrat doctoral
half grant from INRAE, half grant from Labex Numev
PHD title: applied mathematics
PHD Country: France
Master's degree or engineering school with a specialization in applied mathematics - digital sciences
Knowledge in optimal control - control theory would be a plus
An interest in environmental applications and a taste for working in a multi-disciplinary environment are essential
EURAXESS offer ID: 784021
Posting organisation offer ID: 105489
The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.
Please contact email@example.com if you wish to download all jobs in XML.