Their prototype is already in operation at a poultry farm, and they are negotiating the introduction of the system with one of the largest poultry processors in Hungary.
Óbuda University (ÓE) founded a digital agricultural innovation startup called Birdwatcher Zrt. to increase the efficiency of poultry farming by utilizing the possibilities of artificial intelligence, the higher education institution announced.
Starting from the university’s research base, the company uses algorithms based on the observation of birds that can help optimize the fattening cycle based on a unique weight estimate, and also enable a quick response to emergencies and diseases.
The Birdwatcher poultry monitoring application uses algorithms based on the analysis of camera images to estimate the weight of the entire flock of poultry in the holding area, so the fattening cycle can be calculated more accurately in real time.
The camera and image processing system, which combines artificial intelligence and machine learning, is able to monitor the behavior of poultry kept in large-scale, closed conditions, detecting unusual signs that warn the farmer of emergencies and diseases.
The prototype is already in operation at a poultry farm, and negotiations are underway to introduce the system with one of the largest poultry processors in Hungary.
The essence of the solution is simple use, scalability, a technological solution that can be independent of the automation level and farm size of the given poultry farm, they wrote.
According to the announcement, the system could potentially be of interest to four hundred market participants in Hungary alone. In the sector, there is a high demand for precision poultry farming solutions on both the domestic and international markets.
