Farm4Trade is developing new technologies based on Artificial Intelligence and Computer Vision that will be able to recognize and identify individual animals, study their behavior as well as animal welfare.


Farm4Trade is developing a contactless biometric recognition system for the animal identification. The research and development activity is carried out in collaboration with the AImageLab, Department of Engineering “Enzo Ferrari” of the University of Modena and Reggio Emilia, which is already well known as an International pole of excellence in computer vision and artificial intelligence.

Furthermore, the IZSAM has shown great interest in our project. This important investment will allow us not only to apply artificial intelligence to animal identification but also to integrate our technology with the national cattle register.



We’re growing quickly! At Farm4Trade you will have the chance to be apart of something incredible. We are on a mission to change our lives and the way animals are managed on farms. Whether you’re interested to join our team, there’s plenty of opportunity for you.


Automatic Detection of Abattoir Lesions (ADAL): an innovative technology for animal disease monitoring in the slaughterhouse

MONITORING LIVESTOCK DISEASE AT THE ABATTOIR The slaughterhouse is widely seen as an important checkpoint for monitoring the health status of farm animals, especially in pigs. This role is traditionally…

Livestock identification through ear tags and alternative methods

Livestock identification is crucial for traceability and it is directly related to public health as well as to livestock conservation. Meat, milk and all animal products’ supply chains are built…

Artificial intelligence for animal recognition and traceability

Farm4Trade has developed the first animal recognition system, completely contactless, for individual cattle identification based on the use of AI and Computer vision technologies.

Machine Learning For Animal Recognition

Research project for a PhD curriculum in ICT – Computer Engineering and Science/Electronics and Telecommunication/Industrial Applications of ICT