Computer-Automated Spatial Analysis

Abstract

Some embodiments of the present invention automatically measure the impact of natural conditions and/or deliberate interventions on crop yields. Other embodiments automatically predict the impact of natural conditions and/or deliberate interventions on crop yields. By eliminating the need for human intervention, judgment, or discretion from the processes of measuring and predicting impact on yield, embodiments of the present invention enable such measurements and predictions to be made significantly more accurately, quickly, and inexpensively than has been possible with preexisting techniques.

1 . A computer-implemented method comprising:
 (A) identifying spatial yield data descriptive of crop yields associated with a plurality of spatial locations in a field;   (B) identifying at least one of the following data:
 (1) experimental design data descriptive of at least one product, system, or rate associated with the plurality of locations in the field; 
 (2) natural condition data descriptive of natural conditions of the plurality of locations in the field; 
 (3) noise data descriptive of noise variables associated with the plurality of locations in the field; and 
   (C) deriving, from the data identified in (B), a measure of the crop yield response in the field to the data identified in (B).