Using empirical evidence to generate synthetic training data for plant detection

At least one non-transitory computer-readable medium for generating a synthetic training image, wherein the medium comprises instructions that, in response to execution of the instructions by one or more processors, cause the one or more processors to:

• obtain a digital image that captures an area, wherein the digital image depicts the area under a lighting condition that existed in the area when a camera captured the digital image;
• based at least in part on an agricultural history of the area, generate a plurality of three-dimensional synthetic plants;
• and
• generate the synthetic training image to depict the plurality of three-dimensional synthetic plants in the area, wherein the generation includes graphical incorporation of the plurality of three-dimensional synthetic plants with the digital image based on the lighting condition.

A system for generating a synthetic training image, the system comprising one or more processors and memory storing instructions that, in response to execution of the instructions by the one or more processors, cause the one or more processors to:

• obtain a digital image that captures an area, wherein the digital image depicts the area under a lighting condition that existed in the area when a camera captured the digital image;
• based at least in part on an agricultural history of the area, generate a plurality of three-dimensional synthetic plants;
• and
• generate the synthetic training image to depict the plurality of three-dimensional synthetic plants in the area, wherein the generation includes graphical incorporation of the plurality of three-dimensional synthetic plants with the digital image based on the lighting condition.