Sensor-PP: Sensor based ENvironmental Surveillance and Observation with Real-time data in Pig and Poultry houses

The objective of the Sensor-PP project is to create a complete toolbox for monitoring the climate in pig and poultry houses. This includes further optimatization of the hardware part (sensors, cameras) as well as the development of new software. The final tool should support farmers, advisors and veterinarians to make data driven decisions in order to improve and adjust the stable climate. At the end of the day, an optimized climate results in an improved health (and less medication), a higher productivity and animal wellfare. The idea here is that decisions can be based on large amounts of real-time data rather than on short-term or subjective observations as is often the case today. Unique to our system is that in addition to sensor data, digitized production data (mortality, feed- and wateruptake, treatments) and external climate data will be incorporated to make correlation analyses. Through the user friendly web-interface it should be possible to select farm-specific parameters such as geolocation, animal species, breed, type of ventilation and age category of the animals so that interpretation of the obtained measurements can be done fully automatically but relevantly. By applying AI to the generated images, animal behavior and any abnormalities will be quantified in an objective way because often, in addition to animal health problems, incorrect barn climate is also accompanied by abnormal behavior (uneven distribution of animals, aggression, SINS,....). The performance of the tool will improve as the database is growing and the deep learning technologies are kept being trained.