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EU PiG – From pig data to big data
Danish producer Stovgaard uses a data monitoring system to record real-time biological data, including water and feed intake and weights. The team checks the Agrovision dashboard every day for any alarms or issues highlighted in the data curves, so they can take action to handle or correct any problems.
Ambassador: Jesper Hansen, Denmark
Publication date: February 2020
Theme: Precision production
Challenges: Dashboard systems/benchmarking
Routine weighing of pigs in a few pens serves as sentinel, monitoring for daily weight gain. Graphs showing trends serve as an early warning system and decision support tool.
Employees find the system motivating as performance can be followed while the pigs are alive, and if problems are detected, they can often still handle and correct the issues. Their work implementing the technology has been underway for the past 20 years.
Data monitoring system results
Benefits
- FCR increased by 100 g per day
- 5–10% reduction in vet costs
- Piglet mortality reduced by 5–10%
- Variable cost production was 5.8% per kg of meat
- Fixed costs decreased by 3.4%
- Total reduction in costs of 5.2%
Costs
- The initial investment for the monitoring system was €15,000 (€2.5 per pig place)
- Maintenance of the sensors costs €2,000 per year (€0.33 per pig place)
- Software maintenance costs €564 per year (€0.09 per pig place)
- The total cost is €2.92 per pig place
![In-pen sensors (weight)](https://projectblue.blob.core.windows.net/media/Default/EUPiG/In-pen sensors (weight).jpg)
In-pen sensors (weight)
AgroVision dashboard system in practice
Jesper Hansen has a desire to visualise real time productivity using biological parameters. Complete monitoring of feed intake, water intake, performed procedures and traditional farm recordings are presented in real time using the AgroVision dashboard system. Routine weighing of pigs in a few pens is the data source for monitoring daily weight gain for the pigs.
Graphs showing trends serve as an alarm system (early warning) decision support tool for all sites. When employees start the day, they check the system for alarms and check the curves for obvious issues not detected by the alarm. By detecting errors early, they can handle the problem and improve/correct the issues at hand.
Back to: EU PiG – Precision production
Case studies
Technical reports
Precision production best practice challenges
Increasing overall farm sustainability
Increasing gilt and sow performance
Contact us
To access more information, contact RPIG (Denmark): Claus Hansen or EUPig@ahdb.org.uk
This project has received funding from the European Union`s Horizon 2020 research and innovation programme under grant agreement No 727933.
![EU logo, blue background with yellow stars in a circle](https://projectblue.blob.core.windows.net/media/Default/EUPiG/EU logo.jpg)