Tag: convolutional neural networks

Landscape-scale modelling of pesticide exposure Landscape-scale modelling of pesticide exposure and species effects (risk) requires corresponding geoinformation, however, base data is often not readily available in required resolution (≈10 m or higher)​. Hence, realistically applicable (availability, cost, quality, geographic coverage, collaboration) technology and workflows are needed for a range of risk assessment projects. Project Goals […]