Digitalisation of controlled food-production systems requires more than collecting sensor data. Measurements need to be consistent, comparable and organised in a way that allows them to be used by computational models. In this study, researchers at the University of Picardie Jules Verne developed a framework combining standardised measurement protocols with dynamic modelling.
The proposed protocol harmonises the collection of environmental, water-quality, hydraulic, energy and biological data. These measurements are then connected to a dynamic MATLAB model that represents how key processes evolve and interact over time. By testing different operating scenarios, the model can help identify which parameters have the greatest influence on production and nutrient dynamics.
The work therefore establishes a common data-to-model workflow rather than focusing only on a single production system. Within BIOBOOST-PRO, this provides an important foundation for integrating data from different experimental facilities and progressively developing digital-twin tools for monitoring, prediction, optimisation and future control of bio-based production systems.
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