As artificial intelligence (AI) and machine learning (ML) continue to reshape modern agriculture, the role of drones in collecting the high-quality data needed to power these tools has never been more important. From identifying crop stress to forecasting yield, these models are only as good as the imagery they’re trained on. That’s where drones—and skilled operators—make a difference.
