New publication: Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks

Our latest work in the Smartgrass project was recently published in the Sensors special issue Sensing Technologies for Agricultural Automation and Robotics. With an optimized model and extensive high quality images, new state of the art prediction results in grass clover mixtures was presented. Using a specially developed ATV-mounted camera, the method was applied on 29.848 in-field images to sparsely map 225 hectare for the local legume content.

RoboWeedMaps on TV2 Østjylland: Ny sprøjteteknik

“Man starter med at skaffe sig overblik over hvor ukrudttet er ude i ens kornmark, og så sprøjter man bagefter, men kun de steder, der er ukrudt. Sådan lyder den besnærrende enkle opskrift, som et hold forskere fra Aarhus Universitet lige nu arbejder på i samarbejder med flere teknologivirksomheder.”