Spectrometric technology for oyster quality assessment on-site (SOQA)

Approach uses preventative oyster testing on-site with NIR spectrometry in combination with machine learning and advanced data analysis techniques. The result is a service for rapid on-site assessment of oysters by scanning oyster flesh and uploading the data to a SaaS platform. The solution helps farmers assess oyster quality, growth conditions, evaluating potential risks.

By |2019-09-09T12:41:27+00:00September 7th, 2019|Uncategorized|

Cloud based solution for analyzing the authenticity and composition of honey

It uses several data modelling, classification and machine learning methods for spectral data analysis and analytical algorithm generation.It is able to discern honey from other substances and discern other compounds that should not be present in real honey

By |2019-09-09T12:41:41+00:00September 7th, 2019|Uncategorized|
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