October 2018: Our 2nd class of PhD Students join the 1st class students
- Laura Tomasso: Legal study of digital platforms in the area of Digital Agriculture.
Axis 2 (cross-cutting subject) – with Agnès Robin, UM Dynamiques du Droit #1 - Boris Biao: Is innovation in smart agriculture responsible?
Axis 2 (cross-cutting subject) – with leila.temri [AT] supagro.fr #2 - Baptiste Oger: Adaptative Constrained Optimization for Spatial Sampling in Precision Agriculture.
Axis 3 (cross-cutting subject) – with Bruno Tisseyre & Philippe Vismara, MISTEA – ITAP, Montpellier SupAgro #1 - Cyrille Ahmed Midingoyi: Semantic and modular representation of plant growth model using a declarative metalanguage.
Axis 4 (cross-cutting subject) – with Pierre Martre, INRA LEPSE #1 - Priscilla Keip: Selecting pesticidal plants for animal and plant health in Africa using exploratory conceptual navigation
Axis 5 (cross-cutting subject) – with marianne.huchard [AT] lirmm.fr – Université de Montpellier (LIRMM) / Cirad (AIDA) – (financement Cirad) #2 - Jacques Fize: Matching between massive and heterogeneous data : application to biodiversity data (labelled)
Axis 5 (cross-cutting subject) – with Mathieu Roche, Cirad Tetis & Maguelonnes Teisseire, Irstea Tetis - Maxime Metz: Applying big data methodologies to improve the chemometrics local-PLS algorithms
Axis 5 (cross-cutting subject) with jean-michel.roger [AT] irstea.fr – UMR ITAP – Co-encadrement : Cirad SELMET et Inria Zenith #2 - Girault-Bogue Gnanguenon-Guesse: Modelling and viewing relations between agrienvironmental time courses and product quality using a parsimonious Bayesian approach.
Axes 5 & 6 – Challenges 1, 5 & 7 – with Bénédicte Fontez et Nadine Hilgert, INRA MISTEA #1 - Léonard Torossian: Metamodeling and robust optimization – application to ideotype design under climatic uncertainty (labelled)
Axis 6 – with Robert Faivre, INRA MIAT Toulouse #1 - Eléonore Schnebelin: The Innovation System of Digital Agriculture facing the ecological transition
Challenge 1 & Axis 2 with jean-marc.touzard [AT] inra.fr – INRA, UMR INNOVATION #2 - Myriam Allo: Agricultural land use, land use changes and agricultural practices: impacts on soil carbon stocks in tropical volcanic environment. Spatial approach and simulation applied to Reunion Island (labelled)
Challenge 1, Axis 6, with pierre.todoroff [AT] cirad.fr AIDA #1 - Ivana Aleksovska: Improve short- and medium-term predictions of agronomic models by better taking into account the uncertainty of weather forecasts.
Challenge 1 – with François Brun, Acta #1 - Maxime Ryckewaert: Potential of aerial acquisition of high spectral /low spatial resolution information for plant phenotyping (labelled).
Challenge 2 – with Nathalie Gorretta, Irstea ITAP #1 - Gaëtan Heidsieck: Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping.
Challenge 2 – with Esther Paciti, Inria Zenith Lirmm #1 - Etienne David: Design of Deep Learning methods for crops characterization (labelled)
Challenge 2 – with Frédéric Baret, Inra Emmah Avignon #2 - Anis Taleb Bendiab: Optical sensors for the characterization of a spray deposition.
Challenge 3 – with Ryad Bendoula, Irstea ITAP #1 - Mathilde Chen: Disease risk analysis for wheat and vine by combining regional survey data and local expert knowledge (labelled).
Challenge 3 – with François Brun, Acta #1 - Anice Cheraiet: Experimental and statistical modeling of relations between morphological characteristics of grapevine and spraying deposits: application to precision agriculture.
Challenge 3 – with Sébastien Codis, Acta / ITAP #1 - Paul Tresson: Quantification of pest regulation by generalist predators by analysis of image sequence to determine and quantify network of interactions, case of the banana weevil
Challenge 3, Axes 5 & 3 with philippe.tixier [AT] cirad.fr, UPR GECO #2 - Hieu Nguyen Ba: On the use of voluntary feed intake for automatic detection and characterization the response of growing pigs to perturbations (labelled)
Challenge 4 – with Jaap Van-Milgen, INRA PEGASE Rennes #1 - Raphaël Gauthier: Nutritional requirements modelling and precision feeding of lactating sows.
Challenge 4 – with Jean-Yves Dourmad, INRA Rennes PEGASE #1 - Kevin Fauvel: Data science techniques for a sustainable dairy management.
Challenge 4 – with Alexandre Termier, Inria Rennes Lacodam #1 - Sarah Valentin: Extraction and aggregation of information from multi-source data for international monitoring of infectious animal diseases
Axes 4 & 5- Challenge 8 – with Mathieu Roche and Renaud Lancelot (Cirad) #1 - Gaëlle Lefort: Integrating metabolomic data by quantification of high throughput data. Application to perinatal mortality in pig
Challenge 4 & Axis 5 – with Nathalie Villa-Vialaneix, nathalie.villa-vialaneix [at] inra.fr- INRA MIAT Toulouse #2 - Corentin Leroux: Pre-processing and zoning within field yield monitor data: Towards site specific nutrient balances (labelled)
Axis 6 – with Bruno Tisseyre, Montpellier SupAgro ITAP #1 – PhD thesis defence: 27 november 2018, 13h30 – 2 place Pierre Viala, 34000 Montpellier – Amphi 208 (Montpellier SupAgro) - Chloé Alexandre: Use of New Information and Communication technologies for Agricultural Extension and Advisory Services (AEAS): which effects on AEAS conception and provision? Which effects on producers’ learning processes?
Challenge 5 – Axis 1 & 2 – with Guy Faure, Cirad Innovation #1 - Gabriel Volte: Interactive exact optimisation for numerical services to agriculture
Challenge 5 & Axis 6 – with rodolphe.giroudeau [AT] lirmm.fr – Université de Montpellier – LIRMM #2 - Louis Rénier: Online communities and digital technologies to produce and exchange knowledge for agroecology (labelled).
Challenges 5 & 1, Axes 1 & 2 – with frederic. goulet [AT] cirad.fr Innovation & Aurélie Cardona Inra Ecodéveloppement #2 - Arthur Crespin-Boucaud: Cropping system monitoring using satellite time series and spatial modeling : study case in Madagascar Highlands (labelled)
Challenge 6 & Axis 6 – with agnes.begue [AT] cirad.fr #1 - Léo Pichon: Methods for assessing quality of data coming from high spatial and temporal resolution observations : the case of decision making in viticulture (labelled)
Axis 3, 4 et 6 – Challenges 1 & 6 – with Véronique Bellon-Maurel, Irstea Ecotechnologies #1 - Giffona Justinia: Impact of digital development on farm performance and agglomeration dynamics (labelled without funding)
Axis 1 – Challenges 1 & 6 – with Neija Ben Arfa, LARESS / ESA #1 - Narjiss Araba: The contribution of digital technology to the implementation of a price guarantee: application to cereal markets with futures and options.
Challenge 7 – with Alain François-Heude,UM MRM #1 - Ysé Commandré: Distribute durably with digital? The case of fresh agricultural and food products
Challenge 7 & Axe 1 with Sophie Mignon, sophie.mignon [AT] umontpellier.fr – Université de Montpellier MRM #2 - Julien Lamour: Study and spatial modeling of banana maturity (labelled)
Challenge 8, with Olivier Naud, Irstea ITAP #1 - Julien Sarron: Spatial estimation of a perennial crop yield in West Africa : mango case study in Senegal (labelled)
Challenges 1 & 8, with emile.faye [AT] cirad.fr & Eric Malézieux, Cirad Hortsys #1 - Norontsoa Annie Hanitriniala Andriandralambo: Market information and entrepreneurship of peri-urban farmers in Antananarivo: Comparative analysis of the rice and vegetable value chains (labelled)
Challenge 8 & Axis 1 – with Hélène David-Benz, Cirad MOISA #1
- Hugo Deléglise: Improving food security systems by linking heterogeneous data – The case of agricultural production in West Africa
Challenge 8 & Axis 5 with agnes.begue [AT] cirad.fr #2 - Eléonore Schnebelin: The Innovation System of Digital Agriculture facing the ecological transition
Challenge 1 & Axis 2 with jean-marc.touzard [AT] inra.fr – INRA, UMR INNOVATION #2 - Jean-Eudes Yawogan Gbodjo: Leverage Multi-Source Remote Sensing data via machine learning to improve Crop Monitoring Systems: a Cross-comparison between France and Senegal
Challenge 8 & Axis 5 – with dino.ienco [AT] irstea.fr – UMR TETIS, Irstea (nov 2018–) #2
Available PhD positions
Combining Semantic Web and modelling approaches for organizing phenotyping data collected at different scales of plant organization
Contact: Llorenç Cabrera-Bosquet – Email: llorenc.cabrera-bosquet [AT] inra.fr – Institute: INRA
Summary: In recent years, plant phenomics has generated massive datasets obtained in the field or in phenotyping platforms, at organ, plant or canopy levels. Such multi-origin, multi-scale datasets generate a massive problem for designing ontology-based information systems. The thesis consists in combining Semantic Web and modelling approaches to facilitate the mapping of concepts and ontologies at different levels of organization, thereby developing a framework for organising phenomic datasets. The PhD student will work at the interface between a biology group that has pioneered phenotyping approaches and a Mathematics-computer group specialist of data management. (i) He/she will adapt Semantic Web methods for expressing relationships between traits in field and greenhouse in such a way that software agents can query and integrate data originating from different contexts (e.g. greenhouse and field) and sources (e.g. databases and Web APIs). This will involve exploring existing ontologies, using existing tools for ontology alignment and adapting querying mechanisms to the sources mentioned above. (ii) He/she will then develop ontology extensions from sets of equations that link variables at plant by expressing the operations as semantic properties able to link concepts at plant and canopy levels. In this way the “field” and “greenhouse” concepts will be automatically translated one to the other via the existing knowledge expressed as equations. Proof of concepts will be carried out at each step by using existing datasets, for testing to what extent the conceptual framework developed in the thesis allows assembling datasets from different phenomic platforms in greenhouse and fields. This will allow mapping concepts able to cross scales of organisation and to create dynamic links between traits, with the final aim to re-use knowledge acquired in different contexts. The thesis will focus on traits associated with canopy development.
Data analysis from the connected beehives of beekeepers
Contact: Fabrice Allier – Email : fabrice.allier [AT] itsap.asso.fr – Institute: ACTA
Summary : The proposed study focuses on the analysis of data from electronic and connected scales measuring real-time hive weight. The student of this multidisciplinary thesis will be led by the ZENITH unit of INRIA and co-supervised by technical (ACTA / ITSAP-Institute of honeybee) and scientific structures (INRA, Bees and Environment unit). Together, we will attempt to develop and test the temporal dynamics of a hive’s weight to predict the colony’s ability, influenced by biotic and abiotic factors, to exploit available nectar resources within a given foraging radius. This will include taking into account conventional meteorological data. We will use robust methods to analyze large time series of data to create a predictive indicator to objectively support beekeepers for the installation and monitoring of honey production apiaries. More specifically, we will develop a matrix profile index on multidimensional and heterogeneous time series, which will be adapted to the data processed in this project. This study will focus on data mining (axis 5) and modeling (axis 6). Finally, we aim to provide beekeepers with decision support tools based on predictive models that value the real-time data of the network of equipped hives in order to facilitate the management of their production. The results will be evaluated individually by the beekeeper, but a collective valorization is also envisaged by constituting regional indicators.
