Pig Health Assessment Based on Applied Sensors – Smart Pig Health

Leveraging digitised sensors and prediction models to predict diseases among pigs early on and providing transparent information to all stakeholders. 

Pig health and animal welfare are inextricably linked with the use of antibiotics and are of growing importance for society and farmers alike. Therefore, this Flagship Innovation Experiment (FIE) employs a holistic approach to improve pig health while reducing Antimicrobial Resistance (AMR). To reach this objective all relevant stakeholders in the pig production sector are integrated to provide consumers with transparent information. The digitalisation of prediction models and sensor implementation enables a continuous health assessment through data analytics using self-developed algorithms based on machine learning and Artificial Intelligence (AI). Moreover, this predicts diseases and malconditions at an early stage, giving the farmer the ability to initiate the necessary countermeasures to keep their pigs healthy.

Research results indicate that criteria like humidity, temperature, noise, water and feed consumption significantly impact animal welfare. At the moment, however, those biological and economic parameters are not recorded or taken into account continuously. Consequently, this FIE addresses this strategic challenge to farmers and veterinarians while also addressing the societal concern of antibiotics use and pig health, through a sustainable ecosystem.