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This software builds upon BirdNet-Analyzer for further analysis of detected bird species and builds a dash board for visualizing species at varios temporal scales.

Source-code for the training of the deep-learning algorithms (yolov5 and efficientnet)

CNN methods that estimate the diameter of the crop, even when it's occluded.

Contains Instructions how to set up iRODS for sysadmins and training material for different user goups.

Source-code for the deployment of the disease detection system (smart-camera)

Using the a sequence of human poses and object category that is being moved by the person, for a given Scenario, this module generates model to predict the activity carried out by the person.