ServiceUpdated on 10 April 2026
Machine learning for hyperspectral imaging in agri-food applications
Data scientist at ASINCAR
Oviedo (Asturias), Spain
About
ASINCAR is a Spanish technology centre specialized in the application of hyperspectral imaging and data-driven technologies in the agri-food industry.
We develop machine learning models to analyse spectral data and extract actionable insights for industrial applications.
Our work focuses on:
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Classification and identification of raw materials and products
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Quality control and defect detection
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Process monitoring and optimisation
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Predictive modelling based on spectral data
We combine expertise in agri-food processes with advanced data analysis techniques, bridging the gap between hyperspectral sensing technologies and real industrial use cases.
We support the full workflow, from data acquisition and model development to validation in pilot and industrial environments.
We are open to collaboration with technology providers, research organisations and industrial partners working with hyperspectral imaging and AI-driven solutions.
Type
- Testing & Validation Services
- Data Analysis & AI Services
Applies to
- Food, Pharma & Agriculture
Organisation
Similar opportunities
Product
Continuously Variable Filters for Hyperspectral Imaging
- Customers
- Food, Pharma & Agriculture
- Recycling & Circular Economy
- Technology / Hardware Suppliers
- Biomedical Imaging & Diagnostics
- Defense, Security & Remote Sensing
- Industrial Automation & Quality Inspection
Dr.-Ing. Oliver Pust
Sales Director at Delta Optical Thin Film A/S
Hørsholm, Denmark
Expertise
Radiometry modeling of hyperspectral imagers
Rand Swanson
CEO at Resonon
Bozeman, United States