Important results from the project
The project´s objective was partially met; we have gained important insights and identified paths for continued development. There are clear trends that NIR image analysis can be used to determine bread quality. Other results include new lessons learned about technology, processes and data collection, which can have long-term effects on the business. The project has also contributed to strengthened cooperation between the parties, which creates good conditions for future project and innovation.
Expected long term effects
The project is expected to have long-term effects such as higher data quality and more reliable analyses with NIR image analysis, more efficient and sustainable production, and safer and more robust equipment. Improved data collection provides deeper insights and a better basis for future development. The good collaborations also open up new projects and continued innovation.
Approach and implementation
The project was carried out in three phases: a test bakery with measurements of dough and baking extremes, quantitative measurements in production and the collection of qualitative information on equipment. Difficulties arose in obtaining exact replicates in the test bakery and the camera could not always be in place in production, which led to fewer measurements, more difficult quality control of data and thus extended project time.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
