This workflow directly protects asset revenue by automating the detection of vegetation that shades panels or poses fire risk. It eliminates the lag and labor cost of manual perimeter patrols, replacing them with scheduled drone flights. AI agents process the captured imagery to classify species, model shadow impact on energy output, and calculate a financial risk score. This quantifiable impact—measured in avoided generation loss and reduced O&M spend—justifies the automation investment and prioritizes trimming work.




