The first phase of the AppigPlan project, promoted by the i+Porc, in which Copiso has actively participated, has been successfully completed. The project consisted of developing a machine learning system for decision-making on farms, with the aim of optimizing production and predicting the optimal time to send pigs to slaughter.
In addition, innovative systems for recording feed consumption in farm silos have been developed, which improve the accuracy of reading their contents and facilitate the control of feeding in feedlots, according to Nuria Fernández in Heraldo Diario de Soria (https://www.heraldodiariodesoria.es/innovadores/251021/203616/sensores-silos-granjas.html).
Copiso has made an active and significant contribution to this project, which has enabled the validation of the sensor operating system in feed silos. This system has been implemented on the cooperative’s integrated farms, advancing a pioneering digitization process.
This allows feed consumption to be controlled, which helps to monitor the growth of the animals. Copiso had already begun working on this, but thanks to AppigPlan, it has been improved and “this allows us to know in advance the situation of each farm,” explains José Ignacio Morales, a Copiso technician who has worked on the project.
The accuracy of these sensors was verified with the amount of feed supplied from the Copiso factory. Once it arrived at the farm, the accuracy of the sensor reading was checked and compared with the number of kilos that had left the factory. Another advantage is that it is possible to know precisely how much feed is distributed in the farm’s feeding troughs, so that the animals’ diet is optimal for their development and the quality of the meat.
