The INNOSETA project has come to an end. An overview is given of how the project has tried to bridge the innovation gap between research and developers of spraying technologies and end users.
Within this project, together with the flax sector, Inagro, VITO and ILVO, a digital, visual tool for monitoring the crop position of flax is being developed.
This project combines the potential of artificial intelligence with the use of camera technology for site-specific weed detection.
Within this project, a prototype of a robot and corresponding implements will be developed in co-creation with farmers and mechatronics companies.
An inspection system was demonstrated for classifying different types of minced meat.
The power of artificial intelligence in computer vision was demonstrated.
By using a linear moving setup and a hyperspectral NIR camera with regression model, volume ratios of mixtures of dry herbs were calculated.
The demand for rapid detection methods that can be applied on the production line is growing fast. In the framework of the VLAIO Vlevavlees project, some methods were tested for their applicability at...
Vision inspection (RGB, multispectral, hyperspectral) can be used to automate processes or quality control or to improve traceability.