DIG-ITfarm

Using data collection to predict early stage diseases in order to lower the use of antibitiotics in swine rearing and disseminating the best-practices.  

Antimicrobial Resistance (AMR) remains an emerging issue and measures to reduce the use of antibiotics in animal livestock production, a major contributor to AMR, are much appreciated. In this context, the European Commission disseminated recommendations to Member States and adopted legislation covering antimicrobial use and monitoring programs of zoonotic diseases and the AMR status to contain its spread. Since monogastric production such as pork account for a significant part of antibiotic use in modern farming, this Flagship Innovation Experiment (FIE) focuses on that animal species.

In order to lower the use of antibiotics in modern swine rearing systems, the FIE aims to support the aforementioned recommendations by applying data collection in precision livestock farming as a predictor of early stage diseases in combination with novel synergistic feeding concepts. In addition to that, the team intends to positively steer human behaviour in the production sector by showcasing and publishing benefits, results and best-practice examples. Finally, the FIE segues into the evaluation of the system to define its design and required functionalities with the goal to significantly contribute to Digital Innovation Hubs (DIHs) dedicated to responsible livestock farming.