Visualize key dates for various crops
Allows users to visualize spatial and spatio-temporal disease data, estimate disease risk and detect clusters.
Compare genetic maps according to their key statistics and the relative positions of common markers.
Returns information about visual content found in an image. The algorithms use tagging, descriptions and domain-specific models to identify content.
GoWvis represents any piece of text inputted by the user as a graph-of-words and leverages graph degeneracy and community detection to generate an extractive summary (keyphrases and sentences) of the inputted text in an unsupervised fashion. The entire analysis can be fully customized via the tuning of many text preprocessing, graph building, and graph mining parameters.