The swine sector has undergone a remarkable transformation in recent years, driven by the adoption of new technologies that have improved efficiency, productivity and sustainability throughout the production chain. These emerging technologies include artificial intelligence (AI) and machine learning, which are revolutionising the way we manage production processes, from breeding to feeding and animal health.
At Magapor, innovation is one of our fundamental pillars. We are currently focusing our efforts on the application of AI and machine learning to improve efficiency in swine reproduction. These technologies not only increase accuracy in semen analysis, but also optimise productivity, contributing to the growth of the sector.
Technification of the swine sector: keys to growth
The application of new technologies to the sector by Magapor is not something new. One example is the first version of our management software, Gesipor, which was launched on the market in 1993. For the application of these new technologies, we have a continuously growing IT team. It is currently made up of 10 IT specialists and has experienced strong growth over the last three years, complemented by a highly specialised biotechnology team. The synergy between the two teams has allowed us to develop cutting-edge projects, such as our CASA system, and to work on the development of other innovative solutions. This multidisciplinary collaboration enables the application of advanced technologies such as AI and machine learning, for example, to semen analysis, contributing to increased productivity.
AI and machine learning: precision and efficiency in swine reproduction
To take our CASA system to the next level, we have incorporated machine learning and artificial intelligence, allowing us to perform even faster and more accurate analysis. These technologies not only automate the process, but also learn from the data collected, continuously improving their ability to identify and classify high-quality sperm.
Magavision, our CASA system, has been developed in-house by our IT team. This system uses a machine learning engine to train and optimise sperm identification algorithms, analysing complex patterns in clouds of pixels to achieve highly accurate cell identification.
Improving analysis accuracy through complex patterns
The development of tools such as Magavision, designed and optimised by our in-house teams, are clear examples of how technology can boost efficiency and profitability in swine production. Our commitment to technological innovation enables us to continue to contribute to an increasingly efficient and competitive swine industry.
