Hyperspectral imaging for early stage disease recognition in grapevines
solution combines unmanned aerial vehicles, spectrometry and advanced analytical models into a complete solution for applications on the farm
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.
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
Over the head AI in Aquaculture
Automatic monitoring for pollutants, illegal fishing and poaching using fixed wing drones and AI.
UAS technology in agriculture
Crop monitoring, for up to date tracking of crop culture growth or diseases compatible with EU directives on minimizing nitrate fertilizers and chemical usage. Monitoring is conducted by aerial survey with a multi-spectral camera and NDVI - Natural Density Vegetation Index parameters.
Long range drone enabled precision agriculture
Our long range fixed wing drones ensure the that you can cover great surfaces with one flight and get more job done with one unit in the air. All that save you time and money.