Comprehensive analysis of monofloral honey from selected regions.
Utilizing advanced image processing, including satellite and drone imagery.
Developing a model to assign beekeepers to optimal nectar sites.
Implementing a system that combines digital technologies, optimization models, and GIS-based image processing.
We deliver data-driven research and innovative solutions for sustainable apiculture. Our expertise lies in advanced honey characterization, GIS-based land analysis, and machine learning applications for smart beekeeping. Through optimization models and digital information systems, we support efficient migratory beekeeping, cost reduction, and ecosystem-friendly honey production, contributing to higher quality, traceability, and regional value recognition.
We integrate advanced digital technologies with apiculture expertise. Our approach combines GIS-based analysis, machine learning, and optimization models to support smart, efficient, and sustainable beekeeping. By transforming field data into actionable insights, we enable better land selection, improved honey quality, and data-driven decision-making across the honey value chain.
Coordinating data-driven innovation for sustainable beekeeping in Malta
Leading digital and analytical solutions for smart beekeeping systems in Türkiye
Applying GIS-based image processing to identify optimal beekeeping landscapes
Designing optimized location and routing models for migratory beekeeping
