Overview
This service validates the performance of multivariate predictive models that utilise nondestructive spectral sensor data, such as NIR and hyperspectral imaging. Through statistical and chemometric analysis, the service assesses model accuracy and provides recommendations for optimization. Clients benefit from access to a comprehensive software suite dedicated to chemometrics and statistical studies, as well as options for database transfer to adapt models across devices. The service also includes access to a large agri-food sample bank for model evaluation and refinement.
More about the service
Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!
By evaluating the predictive power of spectral models, this service aids companies in ensuring the accuracy of agrifood quality and safety assessments. It supports model updates to account for changes in production conditions or instrumentation, allowing clients to maintain reliable model performance over time. Additionally, database transfer options enhance model usability across different sensor platforms.
The service is conducted remotely with digital support for database transfers and model analysis. Deliverables include performance reports, recommendations for model improvements, and database adaptation protocols. Clients may access chemometric software and sample bank data for targeted studies.
Customisation includes specifying predictive metrics, choosing relevant agri-food samples, and tailored chemometric or statistical analyses. Clients may also request instrumental cloning protocols to replicate databases for new sensors.
Location
Spain
Type of Sector
Food processing
Horticulture
Tree Crops
Viticulture
Type of service
AI model training
Collection of test data
Conformity assessment
Data analysis
People training
Performance evaluation
Accepted type of products
Software or AI model
Other
