System and method for crop health monitoring
First 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.
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Abstract
A method for monitoring crop health of a geographic region includes receiving an image comprising a set of image elements, the image corresponding to a time unit, mapping an image element of the set of image elements to a geographic sub-region of the geographic region, determining a geographic region performance value for the image element, determining a geographic region performance value change, and identifying a crop health anomaly based on the geographic region performance change and an expected geographic region performance value change. Determining the geographic region performance value for the image element can include determining a vegetative performance value for the image element, mapping the image element to a crop type, and normalizing the vegetative performance value.
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Citations
20 Claims
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1. A method for monitoring crop health of a geographic region, the method comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for monitoring crop health of a geographic region, the method comprising:
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receiving a first image comprising a set of image elements, the first image corresponding to a first time unit; mapping a first image element of the set of image elements to a geographic sub-region of the geographic region; determining a first geographic region performance value for the geographic sub-region based on the first image element; generating a combined geographic region performance value, comprising combining the first geographic region performance value with a second geographic region performance value associated with a second image element of a second image corresponding to a second time unit, wherein the second geographic region performance value is determined by combining a third and a fourth geographic region performance value, wherein the third geographic region performance value is associated with a third image element of a third image corresponding to a third time unit, and wherein the fourth geographic region performance value is associated with a fourth image element of a fourth image corresponding to a fourth time unit; determining an actual geographic region performance value change between the first geographic region performance value and a prior geographic region performance value for the geographic sub-region, wherein determining the actual geographic region performance value change comprises comparing the combined geographic region performance value and the prior geographic region performance value; and identifying a crop health anomaly based on the geographic region performance value change and an expected geographic region performance value change for the geographic sub-region. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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18. A method for monitoring crop health of a geographic region, the method comprising:
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receiving a first image comprising a set of image elements, the first image corresponding to a first time unit; mapping a first image element of the set of image elements to a geographic sub-region of the geographic region; determining a first geographic region performance value for the geographic sub-region based on the first image element; determining an actual geographic region performance value change between the first geographic region performance value and a prior geographic region performance value for the geographic sub-region, wherein determining the actual geographic region performance value change comprises calculating a difference between the first geographic region performance value and the prior geographic region performance value, wherein the first and second geographic region performance values correspond to a first and second calendar month within a current growing season, respectively; and identifying a crop health anomaly based on the geographic region performance value change and an expected geographic region performance value change for the geographic sub-region, wherein the expected geographic region performance value change is based on a difference between a third geographic region performance value and a fourth geographic region performance value, the third and fourth geographic region performance values corresponding to the first and second calendar month within a historic growing season, respectively, wherein identifying the crop health anomaly comprises 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 an expected geographic region performance value change for the geographic sub-region, and wherein identifying the crop health anomaly comprises identifying the crop health anomaly based on the set of anomalous geographic sub-regions. - View Dependent Claims (19, 20)
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Specification