Meggsius Select

Each and every egg moves through the Meggsius Select while being scanned from multiple angles to record external characteristics. Based on pre-defined indicators, each egg will be automatically directed to the set exit points. Dependency on classification of eggs based on the interpretation of labour is a thing of the past. The automated process also means, only one person is required to operate the entire process, changing the role from egg collector into the process operator.

More than a sorting system, Meggsius Select transforms egg quality data into process insight. By linking intake quality to breeder farms and hatch results, hatcheries gain the information needed to identify losses, improve decision-making and optimise performance throughout the entire value chain.

The result: more consistent chick quality, improved process control, reduced labour dependency and data-driven continuous improvement.

Compare breeder farms objectively Differences in crack levels, contamination, shape and uniformity become visible, helping hatcheries benchmark flock performance, hygiene, transport quality and management practices.

Detect process issues early Patterns in cracks, dirt levels or weight/volume distribution reveal issues in nest hygiene, storage, transport or handling before hatchability is affected.

Link intake quality to hatch results By linking hatch results to the quality of first-grade eggs set, hatcheries gain closed-loop feedback to optimise both breeder farm performance and hatchery outcomes.