Aragón, leader in pork production at the national level and pioneer in artificial intelligence in the sector

The community produces 20% of the national production and has the largest livestock in the country

Aragón is positioned as one of the major international economic operators in the pork sector. During 2023, pig livestock production was the leader in the community’s primary sector, reaching 66% of Final Livestock Production (the economic result of what is produced by Aragonese livestock) and 39% of Final Agricultural Production ( everything produced by the primary sector). Thus, according to the recent 2023 balance sheet presented by the Union of Farmers and Ranchers of Aragon (UAGA), pork produced around 2,000 million euros in the community last year.

The numbers are no less spectacular when you look at the number of heads staying in the community. Aragón leads the national ranking with 9.8 million animals in its herd, which represents a growth of 5% compared to what was registered in 2022.

In the case of slaughtered animals, approximately 10.5 million pigs were killed for food purposes in Aragon, which shows that animals were imported for the Aragonese meat industry.

A message that confirms a change in trend thanks to the work in the processing and manufacturing of products derived from pork, making Aragon the second community that produces the most, only behind Catalonia. The Catalan autonomous community is responsible for the production of 40% of pork products, followed by Aragón (20%) and Castilla y León (13%).

Aragón pioneer in the use of artificial intelligence technology to automate production centers

INSPECTRA provides its Easy AI ® artificial intelligence technology to improve the productivity of slaughterhouses, having developed equipment in production for more than a year in several leading companies in the autonomous community.


INSPECTRA automates the classification of meat boxes in slaughterhouses using its AI-SORTER equipment, which automatically identifies the product contained in the boxes using Artificial Intelligence.

This equipment makes it possible to automate the transport of boxes to different destinations in the slaughterhouse, increasing production capacity, reducing the operating costs of the line for one operator per identification point.

This technology represents a significant improvement in the automation of a job that, when done manually, is tedious and has a high learning curve.

The equipment also reduces classification errors made by the operator and makes it possible to detect quality errors in production.


INSPECTRA automates carcass inspection with its CARCASS CHECKER equipment, which automatically detects contamination in the carcass and classifies the animal’s sex and other characteristics using artificial intelligence

This equipment makes it possible to automate the sending of carcasses to the reprocessing loops and represents a competitive improvement in the slaughterhouse, reducing the line’s operating costs by carrying out the work of 4 operators per shift.

This technology also represents a significant improvement in production, automatically carrying out work that, when done manually, is also tedious and with inconsistent efficiency. In addition, artificial intelligence detects more quality failures than operators and allows for an automatic record of quality incidents during production.

R&D projects with artificial intelligence

INSPECTRA participates in R&D projects such as “TWINDPIG. Creation of a digital twin in the industrial part”

The TWINDPIG project aims to create a digital twin in the pork industry to be able to INDIVIDUALLY trace each pig/carcass inside industrial facilities, in addition to connecting traceability “upstream” from the origin of the piglet.

Our participation in this project consists of the installation of a vision system for image processing using artificial intelligence so that the effects of Mycoplasma and lung adhesions in the slaughterhouse can be evaluated INDIVIDUALLY.

The objective of this project is to be able to see the trajectories of the pigs (flow between farms from the sow park, transition and fattening) and to be able to determine where there are more points of pathogen contagion.

Also within the framework of this project, a vision and artificial Intelligence tool is created that allows us to ensure the provisional labeling of packaged products, that is, to be certain that what the label indicates is what the box contains.

To this end, pilot equipment has been designed and installed for the inspection of organs in the slaughterhouse and other equipment in the packing room.

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