Soybean Observation using NIRS for Attribute-Depending Prospective Qualitymanagement

SONIA-ProQ makes it possible to make soy value chains in Austria more resilient and sustainable. Through the further development of special applications based on near-infrared spectroscopy (NIRS), fundamental contributions are being made to develop and improve the use of sensors and real-time process control in the processing of soybeans into animal feed. An integrated feeding trial with fattening pigs supports the quantification of the potential. In addition, a special soybean training course is being set up, which will also lead to quality improvements at the processing and feeding level. The basis for this work is the exchange of experience and knowledge between the 9 project partners and 7 organizations in the Expert Council. Together, they form a soy network that has never before come together in this form in an R&D project in Austria. SONIA-ProQ addresses the SDGs (zero hunger; quality education and sustainable consumption and production) and makes an important contribution to the Austrian protein strategy. The results of the project enable the consortium partners to position themselves more strongly in the growing soy market in the long term and also address the interests of consumers with regard to GMO-free, regionality and organic farming.