ŽŪŽIS antraštės iliustracija
"Increasing the Competitiveness, Operational Performance, and Sustainability of Sheep Farms through the Application of Advanced Digital Technologies"

Project title
"Increasing the Competitiveness, Operational Performance, and Sustainability of Sheep Farms through the Application of Advanced Digital Technologies"

Project number
22BV-KS-26-1-00598-PR001

Project manager
Monika Gerulienė

Applicant
Lietuvos sveikatos mokslų universitetas

Project region
Lazdijų r. sav.
Klaipėdos r. sav.
Radviliškio r. sav.
Kauno r. sav.

Date from
2026-05-26

Date to
2028-05-25

Support amount
221,982.00 EUR

Project goals
To increase the competitiveness and productivity of Lithuanian sheep farms by implementing advanced digital technologies for animal identification, weighing and data collection and by developing a unified, data-driven herd management methodology.

Target group
Members of the EIP Operational Group, Independent agricultural advisors, Farms implementing digital technologies

Detailed summary
"The implementation of the project will allow farms to receive tangible economic benefits related to the reduction of labor costs, more accurate herd management and long-term productivity growth. The implementation of digital technologies will create conditions for automating data collection processes and optimizing working time and resources, avoiding the shortcomings of manual accounting. • Automated weighing and identification processes will reduce the volume of manual work. • It will be possible to perform more measurements in a shorter time, without using additional labor. • Electronic data collection will reduce the need for error correction and data duplication. • There will be no more time-consuming costs for transferring data from paper journals to electronic form. • Accurate weight and productivity data will allow for earlier identification of low-potential animals. • Such data-based culling will gradually increase the overall efficiency of the herd. • Electronic identification will reduce the incidence of data loss or incorrect attribution.
Responsible person's contact details:

Full name
Tomas Lileikis

Phone number
+37060455344