At Avino Innovations, we approach our work with a broad perspective, creating customized solutions with our innovative thinking and strong technical infrastructure. We aim to add value to your projects with diverse ideas and solutions. Why not contact us to explore and get to know each other and discover what we can do for you?
Live weight measurements are performed accurately with Scaletracer SC-10 & SC-25. Data is wirelessly transmitted to the Datatracer main unit and then to the server, reducing labor and eliminating errors.
In industrial poultry production, the primary objective is to achieve the highest live weight at the right time with the lowest feed consumption. One of the most critical steps in achieving this goal is planning the slaughter time based on accurate and real-time data collected from flocks in the field.
Slaughter planning affects not only production but also marketing and logistics processes directly. In order to deliver the products demanded by the market on time, it is essential to perform daily planning based on up-to-date and reliable data. Otherwise, hard-to-recover logistical disruptions, customer losses, and significant productivity losses may occur.
Developed by Avino engineers, the Digital Poultry Scale records live weight data collected from the field with high accuracy and minimal margin of error.
The system:
- Records all weighing data with date and time stamps
- Transfers measured data to the main unit via wireless communication
- Processes data in full integration with the Datatracer software
Through the Datatracer software, users can access:
- Number of weighed animals
- Average live weight
- Distribution charts and graphical analyses of all measured values, from the lowest to the highest weights
Thanks to the live weight monitoring system, producers can determine the optimal slaughter time, optimize feed conversion ratios, and plan production in line with market demands.
The integration of the Avino Digital Poultry Scale with Datatracer minimizes error margins and ensures that operational decisions are data-driven and reliable. As a result, logistics processes are improved and maximum efficiency in production is achieved.
