Localization of individual plants based on high-elevation imagery

A system for localizing one or more individual plants of a plurality of plants, the system comprising one or more processors and memory storing instructions that, in response to execution by the one or more processors, cause the one or more processors to:

• analyze a first set of high-elevation images that capture the plurality of plants at a first resolution;
• based on the analysis, classify a set of pixels of the first set of high-elevation images as depicting invariant anchor points, wherein the invariant anchor points include one or more visual features that are known to be movement-invariant;
• align high-elevation images of the first set based on one or more of the invariant anchor points that are common among at least some of the first set of high-elevation images;
• generate a mapping, based on the invariant anchor points, between pixels of the aligned high-elevation images of the first set and spatially-corresponding pixels of a second set of high-elevation images, wherein the second set of high-elevation images capture the plurality of plants at a second resolution that is greater than the first resolution;
• and
• based at least in part on the mapping, localize one or more individual plants of the plurality of plants within one or more of the second set of high-elevation images for performance of one or more agricultural tasks.

A non-transitory computer-readable medium for localizing one or more individual plants of a plurality of plants, the medium comprising instructions that, in response to execution of the instructions by a processor, cause the processor to:

• analyze a first set of high-elevation images that capture the plurality of plants at a first resolution;
• based on the analysis, classify a set of pixels of the first set of high-elevation images as depicting invariant anchor points, wherein the invariant anchor points include one or more visual features that are known to be movement-invariant;
• align high-elevation images of the first set based on one or more of the invariant anchor points that are common among at least some of the first set of high-elevation images;
• generate a mapping, based on the invariant anchor points, between pixels of the aligned high-elevation images of the first set and spatially-corresponding pixels of a second set of high-elevation images, wherein the second set of high-elevation images capture the plurality of plants at a second resolution that is greater than the first resolution;
• and
• based at least in part on the mapping, localize one or more individual plants of the plurality of plants within one or more of the second set of high-elevation images for performance of one or more agricultural tasks.