UTILIZING A SUBSCRIBED PLATFORM AND CLOUD-COMPUTING TO MODEL DISEASE RISK IN AGRONOMIC CROPS FOR MANAGEMENT DECISIONS

摘要

Technologies for assessing a disease risk include receiving a geographical area of a geospatial unit defined by a user of the computing device, receiving input variables associated with the geospatial unit from one or more input sources of the computing device, determining a disease risk by performing a modeled disease risk assessment as a function of the input variables and a set of predefined variables, generating a visual representation that illustrates the disease risk of plants at the geospatial unit based on the modeled disease risk assessment, outputting the visual representation on the computing device, and transmitting, in response to determining that the disease risk exceeds a predefined threshold, a notification to a user of the computing device indicating that the geospatial unit is at risk.