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Project cooperationUpdated on 12 May 2026

R&D cooperation for NIR spectroscopy and multi-sensor fusion in construction, agriculture and environment

CoFounder /Technology Director at NuManufacturing IoT & AI Technologies AS

Istanbul, Türkiye

About

NIR Spectroscopy & Sensor Fusion for Material and Environmental Intelligence
Type:
R&D Cooperation / University Partnership / Pilot Project

Numanufacturing is developing sensor fusion systems that combine NIR spectroscopy with environmental and physical sensors. These systems can be used to analyze materials, monitor soil and vegetation conditions, detect moisture and quality parameters, and support sustainable production and construction processes.

The aim is to create practical, field-deployable intelligence systems that convert physical measurements into actionable AI insights.

Potential project areas:

  • NIR-based construction material analysis

  • Soil and vegetable monitoring

  • Moisture and quality detection

  • Concrete and composite material monitoring

  • Environmental condition monitoring

  • Waste-to-value and organic material analysis

  • Sensor fusion algorithms

  • Edge AI for field measurements

  • Sustainable agriculture and construction applications

Ideal partners:

  • Universities

  • Research centers

  • Agriculture technology companies

  • Construction material companies

  • Environmental monitoring companies

  • Food and agriculture organizations

  • Smart city and sustainability projects

  • EU / regional grant project partners

Cooperation model:
We are open to joint R&D, Horizon Europe / EIT-style project applications, laboratory validation, field pilots and commercialization partnerships.

What we offer:

  • Sensor fusion know-how

  • NIR application design

  • Edge AI processing architecture

  • Field data collection methodology

  • AI/ML model development

  • Industrial and construction use-case knowledge

What we are looking for:

  • Research partners

  • Field pilot sites

  • Laboratory validation partners

  • Agriculture and construction data

  • Funding cooperation

  • Commercialization partners

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