Digital and biotechnological revolutions allow the development of new predictive and decisional approaches in the life sciences which are indispensable for efforts to design, develop and steer future biological systems, particularly in a context of sustainable agriculture. New technologies renew our ability to explore the living world, rendering possible the acquisition of biological and environmental data with unprecedented spatial and temporal resolution - from the gene to the watershed, via the cell, organism, field and farm.
The challenge is to develop, design and implement new approaches and methods, drawing from disciplinary and professional knowledge, which can be used to characterize and model phenomena whose complexity has been hitherto difficult to grasp. This strategy also aims to create tools for representation, diagnosis, assessment and decision support covering a wide range of applications...
It also seeks to design new, complex systems by integrating different forms of knowledge to innovate with regard to the type and size of equipment, the development of new crop systems, the creation of varieties that meet new constraints, etc.
For Montpellier SupAgro, the response to these challenges requires a multidisciplinary approach that includes engineering, biological, social and economic sciences. The approach is oriented towards the production of results "for action" adapted to actors’ needs. The approach is part of a training-research-innovation continuum.