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List of speakers:
Dr. François BRUN (ACTA – French Technical Institutes) is a scientist specialized in methods for agricultural systems modeling and data analysis for farming. He leads a network on Digital Agriculture which gathers specialists on different subjects from big data to robotic.
As research activities, one of his main interests concerns the reliability of model predictions and how model uncertainty can be presented to final model users. One other subject is how to combine different sources of information (especially simulation and observation data). He is involved in several collaborative projects related to these subjects:
– The Network Modeling and Data Analysis for Agriculture (www.modelia.org) which gathers modelers and statisticians from agricultural research institutes (such as ARVALIS – Institut du Végétal and Terres Inovia), public research institutions and other agricultural stakeholders. This network has existed since 2007 and is funded by French Ministry of Agriculture.
– The project « Improve the synergy between networks of observations and modeling in the French pest and disease monitoring networks » which gathers modelers, statisticians and agricultural advisors in order to make better use of field observations data already collected and existing modeling tools to improve the quality of the diagnoses and predictions.
– D. Wallach, D. Makowski, J.W. Jones et F. Brun. 2014. Working with Dynamic Crop Models, 2nd Edition. Methods, Tools and Examples for Agriculture and Environment. Elsevier
– ACTA. 2016. White paper “The access to the data for the Research and the Innovation in Agriculture. Position of Agricultural Technical institutes”. www.acta.asso.fr/numerique
Théo-Paul HAEZEBROUCK (ACTA -French Technical Institutes) is an agro-informatics engineer specialized in data exchanges (especially through web API) and data enhancement (models and applications feeding, data display). He is also the product manager of the API-AGRO platform, a data and services digital platform for stakeholders of the agriculture sector. He is thus in charge of its developments and of expanding its use. Théo-Paul leads discussions with developers and engineers in order to match their needs and help them in understanding the benefits of the platform in their fields.
Besides these main missions, he also takes part in other projects:
– Digital Agriculture network (data-related topics).
– Creation and diffusion of national datasets for the French Research and Development Institutes.
– Digitisation of ACTA’s products and methods.
Pascal NEVEU is Director of Mistea Laboratory at Montpellier SupAgro-INRA. He is the head of INRA Cati CODEX, center dedicated to data and knowledge management. He leads work packages dedicated to data and knowledge management in several international projects. He teaches at the University of Montpellier and the School of Agricultural Engineering, topics related to computer science, numerical computing and Information management. His area of expertise is Data sciences, Heterogeneous data source management, Data semantic. Pascal is member of DIGITAG the French digital agricultural institute. It conducts research to address major societal challenges: stabilize global warming, food security, ensure the energy transition, build agriculture of the future, prepare Open Science and Big Data.
Åsmund RINNAN is an associate professor in Exploratory Data Analysis at the Department of Food Science, in the Chemometrics and Advanced Technology section. His main field of expertise is in multivariate data analysis and spectroscopy. He has worked with data from a wide spectrum of applications: environmental, agriculture, food, sensory, pharmaceutical and chemical research. He has published 46 peer-reviewed papers, and has an H-index of 18 with more than 1100 citations in total.
Anders J. Lawaetz, Signe M.U. Christensen, Sabine K. Clausen, Bjarne Jønsgaard, Søren K. Rasmussen, Svend B. Andersen, Åsmund Rinnan, 2016: Fast, cross cultivar determination of total carotenoids in intact carrot tissue by Raman spectroscopy and Partial Least Squares calibration
Åsmund Rinnan, Sander Bruun, Jane Lindedam, Stephen R. Decker, Geoffroy B. Turner, Claus Felby, Søren Balling Engelsen, 2017: Predicting the ethanol potential of wheat straw using near-infrared spectroscopy and chemometrics: The challenge of inherently intercorrelated response functions.
Thomas ROITSCH is Professor for Plant Phenomics at the University of Copenhagen. He is head of the research group Molecular Plant Physiology and Phenomics of the Section Crop Science at the Department of Plant and Environmental Sciences. He functionally addresses the role of assimilate partitioning and source-sink relations for key yield related processes, ranging from plant growth and development to biotic and abiotic stress responses and beneficial microbial interactions in model and crops plant species. To generate cost efficient, reliable and robust predictors for yield and quality, his research efforts aim to link non-invasive high-throughput phenotyping of whole plants to the underlying cell physiological processes. This novel, integrative and multidimensional phenomics approach will contribute to a better basic understanding of the interactions of genotypes with their complex, multifactorial environment, thereby also contributing to breeding programs and improvement of agricultural crop management.