Automatic section length analysis of feed samples
Background
The length distribution of plant parts, particularly in grass silage for cattle feed, has a significant impact on both storability and animal feed intake, and is therefore an important criterion for evaluating the processing. Previously, the length distribution was determined manually. This method is very time-consuming and labor-intensive and allows for only very limited sample sizes.
Objectives
The aim of the project was to develop a largely automated method based on image analysis techniques for determining the actual cut length distribution of feed samples, thereby obtaining a quantifiable indicator for determining the cutting quality of different chopping processes.
Results
The method was successfully verified using standard samples for various types of forage. This method now provides a tool that allows for efficient and accurate analysis of even large sample sizes. Furthermore, the in-house development of the software makes it possible to flexibly adapt the method to different materials and conditions.