Patent ID: 9638678
Date: 2017-05-02
CPC Classifications: A01C,A01G,G01N,G06K,G06Q,G06T

Claim:
1. A method for monitoring crop health of a geographic region, the method comprising: receiving a first image comprising a set of image elements, the first image corresponding to a first instance of a first recurrent time unit; mapping a first image element of the set of image elements to a geographic sub-region of the geographic region; generating a vegetative performance value for the first image element; mapping the first image element to a crop type; normalizing the vegetative performance value with respect to remaining vegetative performance values associated with a subset of the set of image elements, wherein the subset of image elements is mapped to the crop type; generating a first geographic region performance value for the first image element based on the normalization of the vegetative performance value; calculating an actual geographic region performance value change between the first geographic region performance value and a second geographic region performance value, the second geographic region performance value associated with a second image element of a second image, the second image corresponding to a first instance of a second recurrent time unit, wherein the second image element is mapped to the geographic sub-region; determining an expected geographic region performance value change based on a third and a fourth geographic region performance value, wherein the third geographic performance value is associated with a third image corresponding to a second instance of the first recurrent time unit, and wherein the fourth geographic region is associated with a fourth image corresponding to a second instance of the second recurrent time unit; defining the geographic sub-region as an anomalous geographic sub-region of a set of anomalous geographic sub-regions, in response to the actual geographic region performance value change differing beyond a predetermined threshold from the expected geographic region performance value change for the geographic sub-region; and identifying a crop health anomaly based on the set of anomalous geographic sub-regions.