Patent ID: 9563852
Date: 2017-02-07
CPC Classifications: A01B,G06N,G06Q,Y02A

Claim:
1. A method, comprising: receiving crowd-sourced information indicating a pest presence in a reporting field and identifying a pest, in at least one GPS-tagged report from which a GPS receiver extracts positional coordinates of the reporting field for correlation of the positional coordinates of the reporting field with coordinates of one or more targeted fields; obtaining one or more of pest data that at least includes biological characteristics of the pest, weather information that at least includes one or more of recent and current field-level weather data and short-term weather forecast data for the reporting field and for the one or more targeted fields, and crop management data that includes at least one of crop planting dates and crop growth information over time for both reporting field and the one or more targeted fields, wherein the crowd-sourced information, the pest data, the weather information, and the crop management data collectively comprise input data; analyzing the input data in a plurality of data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with at least one specifically-configured processor, the data processing modules configured to model a field-specific risk of pest occurrence in the one or more targeted fields, by generating, as output data, a pest occurrence prediction from the risk assessment profile.