Pest and agronomic condition prediction and alerts engine

Abstract

At least some aspects of the present disclosure are directed to systems and methods of an agronomic condition prediction and alerts engine. In some cases, the engine receives a set of field data and the set of field data includes one or more of geospatial data, crop data, user data, agronomic data, and weather data. In some cases, the engine retrieves a set of agronomic profile data from an agronomic data repository, where each of the set of agronomic profile data representing an agronomic condition and comprising one or more of geospatial profile, crop profile, pest profile, agronomic profile, user data profile, and weather profile corresponding to the agronomic condition. In some embodiments, the engine applies a multivariable processing to the set of field data using the set of agronomic profile data and generates an agronomic condition indicator indicative of one or more agronomic conditions.

What is claimed is: 
     
         1 . A method implemented on a computer system having one or more processors and memories, comprising:
 receiving a set of field data for a location, the set of field data comprising geospatial data, crop data, agronomic data, and weather data;   retrieving a plurality of sets of agronomic profile data from an agronomic data repository stored in the one or more memories, each of the sets of agronomic profile data representing an agronomic condition and comprising a geospatial profile, crop profile, agronomic profile, and weather profile corresponding to the agronomic condition;   applying, by the one or more processors, multivariable processing to the set of field data, using one or more of the geospatial profile, crop profile, agronomic profile and weather profile of each of the plurality of sets of agronomic profile data;   generating, based on the multivariable processing, an agronomic condition indicator indicative of one or more agronomic conditions applicable to the location; and   determining a treatment plan based on the agronomic condition indicator;   generating an alert output based on the agronomic condition indicator, the alert output including an explanation of one or more causes of the one or more agronomic conditions and the treatment plan; and   causing the alert output to be output on a display to the user.   
     
     
         2 . The method of  claim 1 , wherein applying multivariable processing further comprises selecting a subset of the set of the agronomic profile data. 
     
     
         3 . The method of  claim 1 , further comprising:
 applying, by the one or more processors, a predictive model to the set of field data to generate the agronomic condition indicator.   
     
     
         4 . The method of  claim 3 , wherein the predictive model comprises a temporal model that has a variable aggregated over time. 
     
     
         5 . The method of  claim 3 , wherein the predictive model is a predictive model for a specific agronomic condition. 
     
     
         6 . The method of  claim 5 , wherein the predictive model is a part of an agronomic profile data corresponding to the specific agronomic condition. 
     
     
         7 . The method of  claim 1 , wherein:
 receiving the set of field data further comprises receiving user data;   retrieving a set of agronomic profile data further comprises retrieving a user data profile; and   applying multivariable processing further comprises using the user data profile.   
     
     
         8 . The method of  claim 1 , wherein the alert output includes information on a positive agronomic condition and explanation of a cause of the positive agronomic condition. 
     
     
         9 . The method of  claim 1 , further comprising:
 receiving an input from the user; and   performing an action according to the input.   
     
     
         10 . The method of  claim 1 , wherein the location is an agricultural field. 
     
     
         11 . The method of  claim 1 , wherein the location is a plurality of agricultural fields. 
     
     
         12 . The method of  claim 11 , further comprising:
 analyzing the agronomic condition indicator across the plurality of fields.   
     
     
         13 . A method implemented on a computer system having one or more processors and memories, comprising:
 receiving a set of field data for a location, the set of field data comprising geospatial data, crop data, agronomic data, and weather data;   retrieving a plurality of sets of pest profile data for a plurality of pest conditions from an agronomic data repository stored in the one or more memories, each of the sets of pest profile data representing data for the pest condition and comprising geospatial profile, crop profile, agronomic profile, and weather profile related to the pest condition;   applying, by the one or more processors, multivariable processing to the set of field data, using one or more of the geospatial profile, crop profile, agronomic profile and weather profile of the plurality of sets of pest profile data;   generating, based on the multivariable processing, a pest risk indicator indicative of a pest condition applicable to the location;   determining a treatment plan based on the pest risk indicator;   generating an alert output based on the pest risk indicator;   causing the alert output to be output on a display to the user.   
     
     
         14 . The method of  claim 13 , further comprising:
 applying, by the one or more processors, a predictive model to the set of field data to generate the pest risk indicator.   
     
     
         15 . The method of  claim 14 , wherein the predictive model comprises a temporal model that has a variable aggregated over time. 
     
     
         16 . The method of  claim 15 , wherein the predictive model is a predictive model for a specific pest condition. 
     
     
         17 . The method of  claim 13 , further comprising:
 receiving an input from the user; and   performing an action according to the input.   
     
     
         18 . The method of  claim 13 , wherein the location is one or more agricultural fields. 
     
     
         19 . The method of  claim 18 , further comprising:
 analyzing the pest risk indicator across the plurality of fields to generate a treatment plan.   
     
     
         20 . The method of  claim 13 , wherein:
 receiving the set of field data further comprises receiving user data;   retrieving the set of pest profile data further comprises retrieving a user data profile; and   applying multivariable processing further comprises using the user data profile.